data science phd uk

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• Data Science Institute

The DSI hosts a number of PhD students, funded from a variety of mechanisms including industry, research funders and self-funded. All applications for a PhD programme need to be submitted through the department where the chosen supervisor sits. For example, if the supervisor is hosted in the Department of Computing, visit  this page with relevant information about the application process.

The DSI are currently advertising for a PhD studentship in collaboration with the China State Shipbuilding Corporation (CSSC) and Jiangsu Automation Research Institute (JARI) to produce the next generation of Data Scientists, if you are interested you can find further information on our vacancy page . The closing date for applicants is 28th February 2021. 

Imperial College London received funding from UKRI for a Centre for Doctoral Training in  AI for Healthcare  which is currently open for applications. More information on the CDT can be found  here .

Axel Oehmichen

"This dual position as a researcher and a student has proven extremely rich in experiences as I was learning and collaborating with other DSI researchers across different fields."

Dr Axel Oehmichen

Axel on his time at the DSI; "I was a part-time PhD student and a research associate working on the eTRIKS and OPAL projects. My research focused on the development of a new platform called the eTRIKS Analytical Environment (eAE) as an answer to the needs of analysing and exploring massive amounts of medical data in a privacy preserving fashion. This dual position as a researcher and a student has proven an extremely enriching experiences as I was learning and collaborating with other DSI researchers across different fields. Those collaborations have brought me new perspectives, allowed me to explore new fields and helped me grow as a researcher. I am an engineer by training and, while it was sometimes challenging, that duality made it possible to join both worlds during my PhD and facilitated my transition to the start-up world". 

Hao Dong  

Akara Supratak Akara Supratak was a PhD student at the Data Science Institute (DSI) from 2013 to 2017, supervised by Professor Yike Guo. During his PhD, he has developed a deep learning model, named DeepSleepNet, for automatic sleep stage scoring, which can achieve state-of-the-art performance ( https://github.com/akaraspt/deepsleepnet ). The study at DSI has given him an opportunity to learn and work with other researchers across different fields such as distributed computing and health informatics, and has broadened his knowledge and experience in doing frontier research.

What is he doing now : He is an instructor at the Faculty of Information and Communication Technology (ICT), Mahidol University, Thailand. Currently, he teaches several courses for undergraduate students such as Fundamentals of Programming and Computer Architecture. His research focuses on Machine Learning, Biosignal Processing, and Image Processing.

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6 Best Universities in the UK to Study Ph.D. in Data Science

Earning a doctorate is an excellent way to advance your career and education, especially in advancing industries like medicine, technology, and more. It can also provide graduate students the means to become more proficient in their fields through rigorous study and analysis. Many companies and employers worldwide honor this credential in high regard, which leads to many job opportunities in one’s profession.

The United Kingdom is the best destination in Europe for a Doctor of Philosophy or Ph.D. degree, specifically in data science, like almost every other field. Students pursuing the highest university degree in the multidisciplinary field won’t run out of options in the land of Brits. However, picking a top-tier university ensures your degree stands out.

That’s why here’s a list of the seven best universities in the UK that offer a Ph.D. in Data Science. Read to learn more about the offered programs!

Top Schools Offering Data Science Ph.D. Programs in the UK

1. university of oxford.

• Ph.D. Program | Tuition Fees | Scholarships

Founded over 900 years ago, the University of Oxford is the oldest in the English-speaking world. Multiple major university rankings recognize it as one of the world’s best higher institutions.  Its student population is almost 27,000, with international students from more than 170 countries making up nearly 47 percent. As many as practically 30 Nobel laureates have attended this school.

Oxford offers several DPhil (equivalent to Ph.D.) programs relevant to data science. One is Social Data Science , administered by the Oxford Internet Institute.  The program takes three to four years for a full-time student, while a part-time student requires six to eight years. A student gets two supervisors: one faculty member from the Computational Sciences and another from the Social Sciences.  Another relevant program is the four-year DPhil in Healthcare Data Science based at the Oxford Big Data Institute.

2. University of Essex

The University of Essex , founded in 1964, was crowned University of the Year at the Times Higher Education Awards 2018. Over 19,000 students are enrolled in different programs at its three campuses in Colchester, Southend, and Loughton in Essex County.  More than one-third of its student population hails from outside the country. It is the alma mater of Nobel-winning economist Sir Christopher A. Pissarides.  This prestigious institution offers its Ph.D. in Data Science at its Colchester Campus.

The School of Mathematics, Statistics, and Actuarial Science runs this program with the School of Computer Science and Electronic Engineering .  It allows students to investigate in real depth any of the numerous areas within data science, including deep learning, information retrieval, its mathematical foundations, and multidimensional scaling. Completing the program takes four years for a full-time student and seven years for a part-time student.

3. University of Edinburgh

The University of Edinburgh began its journey in 1583 as the sixth university in the English-speaking world. With its five main campuses in the Scottish capital, Edinburgh, the university offers higher education to over 49,000 students. It claimed the 22nd spot globally in the 2024 QS World University Rankings.

The EPCC (previously the Edinburgh Parallel Computing Centre) offers Ph.D. degrees in many related areas, such as Computational and Data Science, Software Engineering & Sustainability, Parallelism, and High-Performance Computing. Moreover, each student is supervised by one of the 85 faculty members from the two schools. Students also interact with over 30 industrial partners, including Microsoft Research, IBM, Amazon, and Samsung.

Nobel laureates like physicist Igor Tamm, chemist Sir James Fraser Stoddart and molecular biologist Richard Henderson are some of its notable alumni.

4. University of Exeter

Established in 1955, the University of Exeter is a public university with over 29,500 students. It has three campuses: Streatham, St Luke’s, and Penryn. The first two are located in the cathedral city of Exeter in Devon County, while the last one is in the town of Penryn in Cornwall County. Multiple major university rankings recognize it as one of the world’s top 200 universities.

Exeter offers an MPhil/Ph.D. Computer Science program whose research areas include concepts relevant to data science, like machine learning, data and network science, high-performance computing and networking, artificial intelligence, and more. When studied full-time, the program takes three to four years. It takes place at the Streatham campus.

5. University of Stirling

• Ph.D. Program | Tuition Fees |  Scholarships

The following university in the UK offers a Ph.D. degree in data science: the University of Stirling . It is a public institution in the Scottish city of Stirling, with one of the best campus environments in the country. Beginning its journey in 1967, the school has a student population of 17,000. Around 30% of them are international students, representing over 180 nationalities.

Moreover, it is the alma mater of Jonathon Fletcher, who is often regarded as the father of search engines for creating the first modern search engine, JumpStart. Stirling’s Ph.D. program is the Professional Doctorate in Data Science . It is a campus-based program supervised by the university’s academics in collaboration with industry experts. A full-time student can complete the program in three years, while a part-time student requires six years. 

6. University of Nottingham

The University of Nottingham began in 1881 as a university college before finally gaining its status in 1948. It has multiple campuses, including four sites in Nottingham: University Park, Jubilee, Castle Meadows, and King’s Meadow.  The institution’s total student population is over 47,000, with a quarter being international students. It claimed the eighth spot in the Research Power category of the Research Excellence Framework 2014.

Its School of Computer Science offers Ph.D. degrees , which allow students to specialize in a research area relevant to data science through its research activity centers, such as Computational Optimisation and Learning , Intelligent Modelling and Analysis , and more. Meanwhile, t he computer science doctoral research program takes place at the Jubilee campus, and there are options for both full-time and part-time study modes. Its research topics include data science and other fields like computational optimization, functional programming, machine learning, etc.

In conclusion, getting a Ph.D. in data science can lead to more job opportunities and professional knowledge in its related fields. Many universities in the United Kingdom, like the ones listed above, can undoubtedly provide graduate students with excellent data science education in this degree program. That’s why feel free to choose carefully and pick the school that best suits you!

We hope this article on the UK universities with Ph.D. programs in data science was helpful. For some of the UK’s available programs, make sure to check out our Open Courses in the United Kingdom and visit our Study in the UK page!

About the Author: Hyun Lee

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LSE PhD Studentship in Data Science

For 2023 entry, LSE is offering a doctoral studentship for PhD study affiliated to the Data Science Institute (DSI). 

Applications are welcome from both students applying to core data science programmes (Statistics, Mathematics, or Methodology) as well as from applied departments across the School, as long as their projects involve data science or computational social science methods.

The successful student will join a growing cohort of existing DSI-hosted PhD students as well as a regular stream of visiting PhD students in data science. 

Eligibility

Selection for this studentship is on the basis of outstanding academic merit and research potential. This relates both to your past academic record and to an assessment of your likely aptitude to complete a PhD in your chosen topic in the time allocated.

Scholarship amount

The LSE Data Science PhD Studentship is tenable for four years and covers full fees along with an annual stipend of £19,668 (2022/23 rate).

How to apply

To be considered, you must submit a complete application (including references, proposal, marked work etc) by the funding deadline below.  

• funding deadline for all LSE PhD Studentships for 2023 entry: 13 January 2023

For more information visit  how to apply  for a place on a PhD programme.

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PhD Data Science

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Entry requirements

Fees and funding.

• What's next?

Our four-year PhD in Data Science (with research and communication skills) course has been specifically designed to support students, whilst also offering additional support for UK students who do not have English as a first language.

We recognise and understand the importance of continuing professional development for students and have designed this course for students who do not have English as a first language and may have been studying in a different country, or out of a traditional academic environment for some time.

This is a tailor-made course that seeks to combine skills and enhanced subject specific research proposals to give you the best underpinning for your doctoral studies. A core aim of the course is for students to refine English language for scholarly communication, enhance academic skills for postgraduate study, hone higher-level research skills, and master how to study and manage academic work in the UK context.

The course is comprised of the following elements:

This four-year PhD does not include a Masters degree in its first year, like other existing Integrated PhDs offered at Essex. On this course you will enrol for a PhD in Data Science (with research and communication skills) for a PhD final award, with only a PG Dip or PG Certificate available as exit awards after the first year. You will take a number of core and compulsory modules in your first year, and the next three years will be conducting your individual research project.

This course is available to start in either October or January.

• Our degree is jointly delivered by our School of Mathematics, Statistics and Actuarial Science and our School of Computer Science and Electronic Engineering.
• Our data science courses benefit from the Institute of Analytics and Data Science (IADS), the Institute of Social and Economic Research (ISER) and the UK Data Archive, all based at the University of Essex.
• Our School is ranked 31st for research power in the Research Excellence Framework 2021.

UK entry requirements

International & eu entry requirements.

We accept a wide range of qualifications from applicants studying in the EU and other countries. Get in touch with any questions you may have about the qualifications we accept. Remember to tell us about the qualifications you have already completed or are currently taking.

Sorry, the entry requirements for the country that you have selected are not available here. Please contact our Graduate Admissions team at [email protected]  to request the entry requirements for this country.

English language requirements

Course structure.

Most of our taught courses combine compulsory and optional modules, giving you freedom to pursue your own interests. All of the modules listed below provide an example of what is on offer from the current academic year. Our Programme Specification provides further details of the course structure for the current academic year.

Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field. The course content is therefore reviewed on an annual basis to ensure our courses remain up-to-date so modules listed are subject to change.

The research element of your degree doesn't have a taught structure, giving you the chance to investigate your chosen topic in real depth and reach a profound understanding. In communicating that understanding, through a thesis or other means, you have a rare opportunity to generate knowledge. A research degree allows you to develop new high-level skills, enhance your professional development and build new networks. It can open doors to many careers.

We understand that deciding where and what to study is a very important decision for you. We'll make all reasonable efforts to provide you with the courses, services and facilities as described on our website and in line with your contract with us. However, if we need to make material changes, for example due to significant disruption, we'll let our applicants and students know as soon as possible.

Components are the blocks of study that make up your course. A component may have a set module which you must study, or a number of modules from which you can choose.

Each component has a status and carries a certain number of credits towards your qualification.

The modules that are available for you to choose for each component will depend on several factors, including which modules you have chosen for other components, which modules you have completed in previous years of your course, and which term the module is taught in.

Modules are the individual units of study for your course. Each module has its own set of learning outcomes and assessment criteria and also carries a certain number of credits.

In most cases you will study one module per component, but in some cases you may need to study more than one module. For example, a 30-credit component may comprise of either one 30-credit module, or two 15-credit modules, depending on the options available.

Modules may be taught at different times of the year and by a different department or school to the one your course is primarily based in. You can find this information from the module code . For example, the module code HR100-4-FY means:

COMPONENT 01: COMPULSORY

This module is for PhD students who are completing the research portions of their theses.

View Mathematics - Research on our Module Directory

COMPONENT 01: CORE

This module provides training in English language skills for successful postgraduate study in the context of the UK generally and at the University of Essex in particular. The module focuses on developing English language proficiency through carefully graded input and scaffolded task completion, all within contexts of most relevance to those pursuing postgraduate research studies at the University of Essex.

View English Language and Communication Skills for Postgraduate Studies on our Module Directory

COMPONENT 02: CORE

This module is designed for international students who do not have English as their first language and who are planning to pursue a PhD at the University of Essex. It builds upon the English language skills being concurrently developed in the English Language and Communication Skills module and prior research knowledge all students on the module will have already acquired at Level 7.

View Academic Skills for Postgraduate Research on our Module Directory

COMPONENT 03: CORE

Looking to build your research capabilities? This module will equip you with the principal research tools for your PhD in Mathematical Sciences combining general skills used across the mathematical sciences with individual techniques acquired via a small individual project guided by your PhD supervisor. The general skills that you will learn will include the mathematical word-processing language LaTeX, good practice in mathematical and science writing, how to find research sources and use mathematical databases, present your research to others using posters and/or research talks, applying for funding and more.

View Research Skills on our Module Directory

COMPONENT 04: CORE

This module introduces students to the form and function of an effective PhD research proposal. The module will help students to understand the expectations of the research proposal for their own subjects/supervisors and will help them to work on how to produce a quality proposal. The module will help students to develop their skills and confidence in their own research topic as well as their ability to write and talk about their proposal to a range of different audiences. The module will provide students with an overview of the relevant academic theory and ideas about the writing process as well as practical and hands-on experience of writing their own proposals.

View Research Proposal on our Module Directory

Home/UK fee

£4,786 per year

International fee

£18,750 per year

Fees will increase for each academic year of study.

Masters fees and funding information

Research (e.g. PhD) fees and funding information

What's next

We hold Open Days for all our applicants throughout the year. Our Colchester Campus events are a great way to find out more about studying at Essex, and give you the chance to:

• tour our campus and accommodation
• find out answers to your questions about our courses, graduate employability, student support and more
• talk to our Fees and Funding team about scholarship opportunities
• meet our students and staff

If the dates of our organised events aren’t suitable for you, feel free to get in touch by emailing [email protected] and we’ll arrange an individual campus tour for you.

2024 Open Days (Colchester Campus)

• Saturday 21 September 2024 - September Open Day
• Saturday 26 October 2024 - October Open Day

You can apply for this postgraduate course online . Before you apply, please check our information about necessary documents that we'll ask you to provide as part of your application.

We encourage you to make a preliminary enquiry directly to a potential supervisor or the Graduate Administrator within your chosen Department or School. We encourage the consideration of a brief research proposal prior to the submission of a full application.

We aim to respond to applications within four weeks. If we are able to offer you a place, you will be contacted via email.

For information on our deadline to apply for this course, please see our ‘ how to apply ' information.

Visit Colchester Campus

Set within 200 acres of  award-winning  parkland - Wivenhoe Park  and located two miles from the  historic city centre of Colchester – England's oldest recorded development. Our Colchester Campus is also easily reached from London and Stansted Airport in under one hour.

Virtual tours

If you live too far away to come to Essex (or have a busy lifestyle), no problem. Our 360 degree virtual tour allows you to explore the Colchester Campus from the comfort of your home. Check out our accommodation options, facilities and social spaces.

At Essex we pride ourselves on being a welcoming and inclusive student community. We offer a wide range of support to individuals and groups of student members who may have specific requirements, interests or responsibilities.

The University makes every effort to ensure that this information on its programme specification is accurate and up-to-date. Exceptionally it can be necessary to make changes, for example to courses, facilities or fees. Examples of such reasons might include, but are not limited to: strikes, other industrial action, staff illness, severe weather, fire, civil commotion, riot, invasion, terrorist attack or threat of terrorist attack (whether declared or not), natural disaster, restrictions imposed by government or public authorities, epidemic or pandemic disease, failure of public utilities or transport systems or the withdrawal/reduction of funding. Changes to courses may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, and will also keep students informed appropriately by updating our programme specifications . The University would inform and engage with you if your course was to be discontinued, and would provide you with options, where appropriate, in line with our Compensation and Refund Policy.

The full Procedures, Rules and Regulations of the University governing how it operates are set out in the Charter, Statutes and Ordinances and in the University Regulations, Policy and Procedures.

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Integrated PhD Data Science

University of essex, different course options.

• Key information

Course Summary

Tuition fees, entry requirements, university information, similar courses at this uni, key information data source : idp connect, qualification type.

PhD/DPhil - Doctor of Philosophy

Subject areas

Data Science Statistics

Course type

An Integrated PhD provides a route into research study if you do not have a Master’s degree, or have very little research training. It enables you to spend your first year completing a Masters-level qualification, followed by a full-time PhD studied over 3-4 years. We also offer a ‘standard’ PhD in this subject which can be studied either full-time (3-4 years) or part-time (6-7 years).

The techniques we use to model and manipulate data guide the political, financial, and social decisions that shape our modern society and are the basis of growth of the economy and success of businesses. Technology is growing and evolving at an incredible speed, and both the rate of growth of data we generate and the devices we use to process it can only increase.

Data science is a growing and important field of study with a fast-growing number of jobs and opportunities within the private and public sector. The application of theory and methods to real-world problems and applications is at the core of data science, which aims specially to use and to exploit big data.

If you are interested in solving real-world problems, you like to develop skills to use smart devices efficiently, you want to use and to foster your understanding of mathematics, and you are interested and keen to use statistical techniques and methods to interpret data, then the first year of our Integrated PhD Data Science may be for you.

In your second year you move onto the PhD element of the course. We have staff members available to act as supervisors across several areas within data science. Possible areas of research include artificial intelligence, classification/supervised learning, clustering/unsupervised learning, data science education, deep learning, industry 4.0, information retrieval, mathematical foundations of data science, multidimensional scaling, optimisation, and statistical learning.

The University of Essex is a leading institution worldwide on Data Science Education. We have a strong track record on Knowledge Transfer Partnerships (KTP) with data-driven industries, for example: Profusion, Mondaq, MSXI and Ocado. We have two research groups: Data Science and Mathematics.

All University of Essex research students have access to our innovative and unique scheme, Proficio. Postgraduate research students are automatically enrolled on Proficio, which provides a variety of training courses, and a fund of up to £2,500 per student for conference attendance and relevant external training courses.

Your future

With a predicted shortage of data scientists, now is the time to future-proof your career. Data scientists are required in every sector, carrying out statistical analysis or mining data on social media, so our course opens the door to almost any industry, from health, to government, to publishing.

Our graduates are highly sought after by a range of employers and find employment in financial services, scientific computation, decision making support and government, risk assessment, statistics, education, and other areas. Our recent graduates have gone onto work as data scientists and data analysts in both the private and public sectors.

Many of our former PhD students have gone on to work as academics in prominent institutions across the world, such as the University of Bristol, University of Cambridge, University of Nottingham, and many other international universities. Some have also remained at the University of Essex, working as postdoctoral research fellows, research impact officers, or lecturers.

Other graduates have joined organisations like the Met Office, the Ministry of Defence, and companies based in the City of London. There is a high demand for data science experts in all sectors of the economy, so our graduates are sought after in the UK and abroad.

UK fees Course fees for UK students

For this course (per year)

International fees Course fees for EU and international students

You need a good honours degree in one of the following subjects: Mathematics, Actuarial Science, Statistics, Operational Research, Computer Science, Finance, Economics, Business Engineering. Our four-year integrated PhD allows you to spend your first year studying at Masters level in order to develop the necessary knowledge and skills and to start your independent research in year two.

The University of Essex prides itself on being at the forefront of change. It is an institution with a culture of boldness where creativity and curiosity in learning are both encouraged and expected. It’s a UK university, placing 36th and 32nd according to the Whatuni Student Choice Awards 2023 and the 2024 Complete University Guide rankings, respectively. At the University of Essex, students are taught by world-leading academics in a... more

MSc Data Science

Full time | 1 year | 03-OCT-24

MSc Data Science with Professional Placement

Full time | 2 years | 03-OCT-24

MSc Social Data Science

Phd data science.

Full time | 4 years | OCT-24

MPhil Data Science

Full time | 3 years | 03-OCT-24

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In 2024 UEL celebrates a Year of Science

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Data Science Prof Doc

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The Professional Doctorate in Data Science (D. DataSc) is aimed at professionals who wish to enhance and/or validate data-centric, evidence-based approaches within their chosen career through a combination of taught modules and doctoral research.

The programme is delivered:

• Full-time, three years: one year of taught modules and two years of research
• Part-time, five years:  two years of taught modules and three years of research

A cross-disciplinary approach is central to the delivery of this programme and is therefore suitable for professionals in a broad range of professional disciplines and areas of employment.

"The ability to take data - to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it - that's going to be a hugely important skill in the next decades." (Hal Varian, Chief Economist at Google).

The programme is unique, international, and ground-breaking in offering a Professional Doctorate qualification in Data Science. D. DataSc is an earned doctorate that allows the holder to use the title 'Dr'.

This course is only eligible for part-time student visa sponsorship. For more details about the restrictions of part-time student visas please see our Student Visa page .

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This course is in Clearing

Call our Clearing number today to apply through Clearing. Our call centre is open between 9am - 5pm, Monday to Friday

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Course options

• September 2024

Professional Doctorate

Entry requirements, academic requirements, accepted qualifications.

Bachelor's degree with Upper Second Class (2:1) in Physical Science, Electrical, Electronic, Communication Engineering or Humanities and Social Science related subject.

International Qualifications

We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications. Please visit our International page for full details.

English Language requirements

Overall IELTS 6.5 with a minimum of 6.0 in Writing, Speaking, Reading and Listening (or recognised equivalent). If you do not meet the academic English language requirements for your course, you may be eligible to enrol onto a pre-sessional English course .

The length of the course will depend on your current level of English and the requirements for your degree programme. We offer a 5-week and an 10-week pre-sessional course.

Mature applicants and those without formal qualifications

As an inclusive university, we recognise those who have been out of education for some time may not have the formal qualifications usually required. We welcome applications from those who can demonstrate their enthusiasm and commitment to study and have the relevant life/work experience that equips them to succeed on the course. We will assess this from the information provided in your application or may request additional information such as a CV or attendance at an interview. Please note that some courses require applicants to meet the entry requirements outlined.

Admissions policy / Terms of Admittance

We are committed to fair admissions and access by recruiting students regardless of their social, cultural or economic background. Our admissions policy sets out the principles and procedures we use to admit new students for all courses offered by the university and its partners.

Further advice and guidance

You can speak to a member of our Applicant Enquiries team on +44 (0)20 8223 3333, Monday to Friday from 9am to 5pm. Alternatively, you can visit our Information, Advice and Guidance centre.

Prof Doc Data Science

Prof doc data science, home applicant, full time.

• Home Applicant
• Full time, 3 years
• 10200 first year fees £10,200 (taught element), then £6,020 per year for the next two research years. Pound 10200 first year fees £10,200 (taught element), then £6,020 per year for the next two research years.

Prof Doc Data Science, home applicant, part time

• Part time, 5 years
• 1700 first year fees £1,700 (taught element) per 30 credit module, then £3,010 per year for the next three research years. Pound 1700 first year fees £1,700 (taught element) per 30 credit module, then £3,010 per year for the next three research years.

Prof Doc Data Science, international applicant, full time

• International Applicant
• 15960 first year fees £15,960 (taught element), then £16,100 per year for the next two research years. Pound 15960 first year fees £15,960 (taught element), then £16,100 per year for the next two research years.

Prof Doc Data Science, international applicant, part time

• 2660 first year fees £2,660 (taught element) per 30 credit module, then £8,050 per year for the next three research years. Pound 2660 first year fees £2,660 (taught element) per 30 credit module, then £8,050 per year for the next three research years.

Fees, funding and additional costs

EU, EEA and Swiss Nationals starting a course from September 2021, will no longer be eligible for Home fees. However, such nationals benefitting from Settled Status or Citizens' Rights may become eligible for Home fees as and when the UK Government confirms any new fee regulations. Further information can be found at UKCISA .

Tuition fees are subject to annual change. Fees for future years will be published in due course.

Home students

Postgraduate loans scheme.

£10,280 to fund your Masters Programme under the Postgraduate Loans (PGL) scheme

Postgraduate Loans (PGL)

The Postgraduate Loan (PGL) provide non-means-tested loans of up to £10,906 to taught and research masters students.  It will be paid to students as a contribution towards tuition fees, living costs and other course costs. Applications are made directly through  Student Finance England  

Eligibility

Whether you qualify depends on: •    if you've studied a postgraduate course before •    your course •    your age •    your nationality or residency status

Full eligibility can be found on the Government's Postgraduate Loan webpage .

Please take a look at the  Postgraduate Loans  for an overview of the new funding.

Postgraduate Scholarship

Apply for a 50 per cent discount on your tuition fees! You can get a 50 per cent discount on course fees through a UEL Postgraduate Scholarship. The scholarship is open to full-time and part-time UK and EU students of taught postgraduate courses. *Exclusions apply.

Find out more about full eligibility criteria and how to apply .

Terms and conditions apply.

Our scholarships and bursaries can help you

How we can help you

Did you know that with a postgraduate qualification, you can expect to earn more than someone who only holds an undergraduate degree?

If you want to build new skills, change career paths, or further your career prospects, a postgraduate degree can help you. Our range of scholarships and bursaries will make financing your education that much easier. Below is some of the funding available to support you in your studies:

• Alumni Discount   - up to 15% fee waiver *exclusions apply. Please see the Alumni Discount page  for information.
• Early Payment Discount  - 5% fee waiver
• Asylum Seekers scholarship   - 100% fee waiver
• Civic Engagement - £1,000
• Hardship Bursary - up to £2,000
• Sport Scholarships   - Up to £6,000

How to pay your fees

There are a number of ways you can pay your fees to UEL

• Online payment facilities
• By telephone
• In person at our Docklands or Stratford campus
• Bank transfer

Full information on making payments can be found  on our Finance page .

If you wish to discuss payments to the University, please contact our Income Team on 020 8223 2974 or you can email  [email protected]

Ideas for funding your postgraduate study

Below are some ideas on how to fund your postgraduate study:

•     Apply for a  Postgraduate Loan  
•     Take advantage of  UEL scholarships and bursaries
•     Ask your employer to sponsor your study
•     Study part-time so you can work at the same time (applicable to courses that have a part-time mode)
•     Look at  UK Research and Innovation funding options

The Student Money Advice and Rights Team (SMART) are here to help you navigate your finances while you're a student at the University of East London. We can give you advice, information and guidance on government and university funds so that you receive your full funding entitlement. Live chat: Click the live chat icon in the bottom left of the screen Phone: 020 8223 4444

International students

Living costs for international students.

As part of the Tier 4 student visa requirements, UK Visas and Immigration (UKVI) estimate that you will need £1,265* per month to cover your living costs. It includes expenses for accommodation, food and drink, travel within London, textbooks, entertainment, clothing, toiletries and laundry. Most Tier 4 students are required to show they have sufficient funds to cover the first nine months of the course before they start - a total of £11,385 - in addition to the tuition fees. You can find more information about the specific requirements of the Tier 4 student visa. The amount that you will spend can vary depending on your lifestyle. The UKCISA International Student Calculator can help you plan and manage your money.

* Please note the Immigration Rules are subject to change and this figure is likely to be increased by UKVI year on year. Please therefore check our ISA page for more information at the time of preparing your visa application.

How to pay your fees - international students

Deposits and paying by instalments International students are required to pay a  deposit  before being issued a Confirmation of Acceptance for Studies (CAS). Your remaining balance will be paid in five monthly instalments over your first term. The first of these instalments must be paid when completing your enrolment on arrival at UEL. Please follow the payment instructions on our Make a Payment page . After the required payment has been made, you will be asked to complete the online International Student Reply Form to confirm your acceptance of our offer and of our terms of admittance and fee policy.

Our International team at UEL are available for advice and guidance on studying in London, fees, scholarships and visa requirements. Email:  [email protected]

Additional costs

Depending on the programme of study, there may be extra costs which are not covered by tuition fees, which students will need to consider when planning their studies.

Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. Accommodation and living costs are not included in our fees. 

Our libraries are a valuable resource with an extensive collection of books and journals as well as first-class facilities and IT equipment. You may prefer to, or be required to, buy your own copy of key textbooks.

Computer equipment

There are open-access networked computers available across the University, plus laptops available to loan. You may find it useful to have your own PC, laptop or tablet which you can use around campus and in halls of residences.

Free WiFi is available on each of our campuses.

In the majority of cases, coursework can be submitted online. There may be instances when you will be required to submit work in a printed format. Printing and photocopying costs are not included in your tuition fees.

Travel costs are not included but we do have a free intersite bus service which links the campuses and halls of residence.

For this course, you will be:

• involved in processes of making, as a means of exploration, experimentation, and understanding your practice, by using a diverse range of media and materials
• required to purchase your own copy of books, for required reading
• required to produce physical artefacts for assessment 
• able to participate in optional study visits and/or field trips

However, over and above this you may incur extra costs associated with your studies, which you will need to plan for. 

To help you budget, the information below indicates what activities and materials are not covered by your tuition fees:

• personal laptops and other personal devices 
• personal copies of books 
• optional study visits and field trips (and any associated visa costs)
• printing costs
• your own chosen materials and equipment
• costs of participating in external events, exhibitions, performances etc.

The costs vary every year and with every student, according to the intentions for the type of work they wish to do. Attainment at assessment is not dependent upon the costs of materials chosen.

Learn about applying

Important information about your application, uk full-time starting sept.

How to apply Apply directly to UEL by clicking on the apply button. For further information read our  Guide to Applying . When to apply Places on many courses are limited and allocated on a first-come first-served basis. We advise you to apply as early as possible to give yourself the best chance of receiving an offer. Advice and guidance Our  Information, Advice and Guidance team  provide impartial advice on courses, entry requirements, pre-entry and access programmes in person and via the telephone. +44 (0)20 8223 4354 Already applied? You can track the progress of your application by contacting our Applicant Engagement team on +44 (0)20 8223 3333 (Monday - Friday, 9am - 5pm). Read our  guide to applying  for further information. Need help? Contact our Applicant Engagement team (Monday - Friday, 9am - 5pm) +44 (0)20 8223 3333

UK Part-time starting Sept

How to apply Apply directly to UEL by clicking on the apply button. For further information read our  Guide to Applying . When to apply Places on many courses are limited and allocated on a first-come first-served basis. We advise you to apply as early as possible to give yourself the best chance of receiving an offer. Advice and guidance Our  Information, Advice and Guidance team  provide impartial advice on courses, entry requirements, pre-entry and access programmes in person and via the telephone. +44 (0)20 8223 4354 Already applied? You can track the progress of your application by contacting our Applicant Engagement team on +44 (0)20 8223 3333 (Monday - Friday, 9am - 5pm). Read our  guide to applying  for further information. Need help? Contact our applicant engagement team (Monday - Friday, 9am - 5pm) +44 (0)20 8223 3333

International Full-time starting Sept

Submitting your application please read and consider the entry and visa requirements for this course before you submit your application. for more information please visit our  international student advice pages .  .

How to Apply We accept direct applications for international students. The easiest way to apply is directly to UEL by clicking on the red apply button. Please be sure to  watch our videos  on the application process.

When to Apply Please ensure that you refer to the international admissions deadline . We advise you to apply as early as possible to give yourself the best chance of receiving an offer.

International students who reside overseas Please ensure that you have read and considered the entry requirements for this course before you submit your application. Our enquiries team can provide advice if you are unsure if you are qualified for entry or have any other questions. Please be sure to read about the  Tier 4 visa requirements .

Advice and guidance Our  Information, Advice and Guidance team  provide impartial advice on courses, entry requirements, pre-entry and access programmes in person and via the telephone.

+44 (0)20 8223 4354 Need help? Contact our applicant engagement team (Monday - Friday, 9am - 5pm)

+44 (0)20 8223 3333

About our foundation years

Our Foundation Year courses are perfect for you if you... 

• are returning to education after a long time, or you don't have the qualifications for direct entry into our degree programmes
• are thinking of re-training and would like an introduction to the area
• are an international student wanting an additional year to adapt to the UK academic system
• are still evaluating which degree pathway at UEL is the right one for you

Please note: Foundation years can only be studied full-time. However, you can transfer to part-time delivery once you have completed your foundation year. Please apply to the full-time option if you wish to study in this way.

What makes this course different

Professional skill development

Block mode teaching, suitable for students in employment, allowing for professional skill development.

Enhanced knowledge

Integration of concepts, techniques and applications to enhance students' knowledge and skills in the analytics pipeline.

Open Source software tools

Open Source software tools which are widely used in the field of Data Science to extract value from data.

Course modules

Mental wealth; professional life (data ecology) core module.

This module aims to develop a critical understanding of the world of data and Data Science from an ‘ecological’ perspective. This will focus on an understanding the environment of production, dissemination, harvesting and use of data in the data value chain as well as the development of niche areas from a perspective of evolution, competition, life cycle, cross-fertilisation and the niche space. This module focuses on many aspects of working in an Industry 4.0 economy.

Research Methods for Technologists Core Module

Applied research tools and techniques core module, work-based project review core module, planning for doctoral research core module, advanced decision making: predictive analytics & machine learning optional module.

This module aims to develop a deep understanding of ways of making decisions that are based strongly on data and information. Particular focus will be on mathematical, statistical and algorithmic-based decision-making models using predictive analytics and machine learning. Various cases will be examined. The software environment will be predominantly open-source.

Spatial Data Analysis Optional Module

This module aims for students to understand the concept and theory of spatial data analysis, and develop the skill and problem-solving ability by applying a range of spatial query, processing, visualisation and analysis techniques. Main platforms with be open source SpatiaLite and QGIS.

NOTE: Modules are subject to change. For those studying part time courses the modules may vary.

Download course specification

PDF, 185.2kb

What we're researching

Data analysis, data mining and modelling, Geocomputation and mapping, and data management. Professor Brimicombe is Emeritus Professor at UEL. He is a Chartered Geographer, an Academician of the Academy of Social Sciences, a Fellow of the Royal Statistical Society, a fellow of the Royal Geographical Society, deputy chair of the National Statistician's Crime Statistics Advisory Committee and a non-executive committee member of the British Society of Criminology. He has been a Specialist Advisor to the House of Lords. Allan's expertise focuses on cross-disciplinary applications of Geo-Information Science and Data Science. Allan pioneered the use of geo-information systems and environmental simulation modelling. His other research interests include data quality issues, spatial data mining and analysis, predictive analytics and location-based services (LBS). These have been applied to crime, health, education, natural hazards, utilities and business. Allan's recent projects include Olympic Games Impact Studies and Smart City Studies. Dr Yang Li is a fellow of the Royal Geographical Society, a fellow of the Royal Statistical Society, a fellow of the Higher Education Academy and a member of the Association of Geographic Information. Yang has rich experiences in both applications and research of Data Science and Geo-Information Science. He has expertise in data integration, data mining and data modelling. Particularly, he is a specialist in geocomputational analysis including data quality modelling and sensitivity analysis. Yang's recent projects include Olympic Games Impact Studies, the Prevent Project of the Home Office and TURaS.

Your future career

This programme uniquely qualifies you in a field increasingly recognised as central to most professional areas and research. The research component provides a solid grounding in methods and engagement with leading-edge ideas. Job opportunities in data science are rising exponentially. Holders of a Professional Doctorate in Data Science will have the highest possible qualification in this area and prepare them for senior positions. They will also be eligible to apply for Royal Statistical Society membership.

Our students are professionals from a diverse range of areas. They include a global compliance engineer, a senior system analyst, an analytical chemist, an assistant dean at Qatar University, a SAP technology consultant from Germany, an IT trainer, a senior project manager with Diageo, an ICT manager from Ireland, a lecturer in databases from Oman, a principal consultant with Verizon, a company MD, a senior analytical consultant with TripAdvisor, a consultant with HSBC,  a software developer with HMRC, a school teacher, a marketing officer,  a data manager in Microsoft and a data analyst from New York. 

All are looking to improve their career options and general expertise in this expanding market.

Explore the different career options you can pursue with this degree and see the median salaries of the sector on our  Career Coach portal .

How we support your career ambitions

We offer dedicated careers support, and further opportunities to thrive, such as volunteering and industry networking. Our courses are created in collaboration with employers and industry to ensure they accurately reflect the real-life practices of your future career and provide you with the essential skills needed. You can focus on building interpersonal skills through group work and benefit from our investment in the latest cutting-edge technologies and facilities.

Career Zone

Our dedicated and award-winning team provide you with careers and employability resources, including:

• Online jobs board for internships, placements, graduate opportunities, and flexible part-time work.
• Mentoring programmes for insight with industry experts 
• 1-2-1 career coaching services 
• Careers workshops and employer events 
• Learning pathways to gain new skills and industry insight

Mental Wealth programme

Our Professional Fitness and Mental Wealth programme issues you with a Careers Passport to track the skills you’ve mastered. Some of these are externally validated by corporations like Amazon and Microsoft.

We are careers first

Our teaching methods and geographical location put us right up top

• Enterprise and entrepreneurship support 
• We are ranked 6th for graduate start-ups 
• Networking and visits to leading organisations 
• Support in starting a new business, freelancing and self-employment 
• London on our doorstep

What you'll learn

Our doctoral research course focuses on pure or applied aspects of data science, with each student studying data from within their main discipline or area of employment. You will learn reflective and analytic approaches to data while engaging in your own data research.

The taught elements of the course include Data Ecology, Research Methods for Technologists, Applied Research Tools and Techniques, Spatial Data Analysis, Advanced Decision Making, Work-based Project Reviews and Planning for Doctoral Research.

These elements will be reinforced by the specialist knowledge of our course leaders, whose fields of expertise include data cleansing, data integration, data mining, spatial analysis and predictive analytics.

Their recent research has engaged them in data from crime statistics, natural hazards, public health and business, keeping them at the forefront of new developments in the field.

Our cross-disciplinary approach to the subject means that whatever your area of interest, our researchers will have the experience and expertise to enhance your knowledge and skills.

The taught modules on this course are available to be taken as credit-bearing short courses by suitably qualified individuals.

How you'll learn

This programme includes six taught modules and a Research Thesis and is available in full-time and part-time modes. Delivery of taught modules is by block and blended learning.

For those studying full-time, there are two years of research and for those studying part-time,  it is two years of taught modules and three  years of research.

Each taught module is based on one week's intensive attendance at the Docklands campus, according to an advertised calendar, usually at the beginning of each semester. Students are expected to have a laptop computer for in-class practical sessions. During the remainder of the semester, students can work on their reading, practical components (from a workbook) and coursework. Students will be supported online or on campus depending on individual students' arrangements. The taught modules on this programme are available to be taken as credit-bearing short courses by suitably qualified individuals.

How you will be assessed

All the learning outcomes of the programme are assessed through:

• Laboratory session portfolios
• Research thesis

Campus and facilities

Our campus and the surrounding area.

Our waterfront campus in the historic Royal Docks provides a modern, well-equipped learning environment.

Join us and you'll be able to make the most of our facilities including contemporary lecture theatres and seminar rooms, art studios and exhibition spaces, audio and visual labs and a multimedia production centre.

Features include our 24/7 Docklands library, our £21m SportsDock centre, a campus shop and bookstore, the Children's Garden Nursery, cafés, eateries, a late bar, plus Student Union facilities, including a student lounge.   The University of East London is one of the few London universities to provide on-campus accommodation. Our Docklands Campus Student Village houses close to 1,200 students from around the world. We are well connected to central London and London City Airport is just across the water. We also run a free bus service that connects Docklands with Stratford campuses.

Who teaches this course

This course is delivered by the School of Architecture, Computing and Engineering.

The teaching team includes qualified academics, practitioners and industry experts as guest speakers. Full details of the academics will be provided in the student handbook and module guides.

Related courses

This course is part of the Computer Science and Digital Technologies subject area.

Prof Doc Information Security

This programme aims to develop research-based practice amongst professionals currently working within the Information Security area.

Architecture, Computing and Engineering MPhil PhD

ACE has strong research expertise in urban sustainability, cyber-security and big data studies. We're world leaders in environmental protection studies.

TERMS AND CONDITIONS Modal

Terms of Admittance to the University of East London

The Terms of Admittance govern your contractual relationship with the University of East London ("UEL"). A contract between you, the Student, and us, UEL, is entered into once you accept an offer of a place on a programme at UEL and this contract is subject to consumer protection legislation. You are entitled to cancel this contract within 14 days of enrolment onto your programme.

1) Student enrolment

Enrolment at UEL is the process whereby you officially become a UEL student. The enrolment process requires you to:

• Ensure that we are holding the correct personal details for you
• Agree to abide by our regulations and policies
• Pay your tuition fees/confirm who is paying your tuition fees

You are expected to enrol by the first day of your academic year (click on "Discover") which will be notified to you in your enrolment instructions. Failure to enrol by the deadline contained in our Fees Policy (for most students by the end of the second week of teaching) may lead to the cancellation of student status and all rights attached to that status, including attendance and use of UEL's facilities. If you do not complete the formal process of enrolment but, by your actions, are deemed to be undertaking activities compatible with the status of an enrolled student, UEL will formally enrol you and charge the relevant tuition fee. Such activities would include attendance in classes, use of online learning materials, submission of work and frequent use of a student ID card to gain access to university buildings and facilities. Late enrolment charges may be applied if you do not complete your enrolment by the relevant deadline.

2) Tuition fees

Your tuition fee is determined by:

• the programme you are studying;
• if you are studying full or part-time;
• whether you are a UK/EU or International student; and when you started your studies with us.

We will tell you the tuition fee that you are due to pay when we send you an offer as well as confirm any additional costs that will be incurred, such as bench fees or exceptional overseas study trips. Unregulated tuition fees (where the UK government has not set a maximum fee to be charged) are generally charged annually and may increase each year you are on the programme. Any annual increase will be limited to a maximum of 5% of the previous year's fee. Regulated tuition fees (where the UK government has set a maximum fee to be charged) may also be subject to an annual increase. Any annual increase will be in line with the increase determined by the UK government. You will be notified of any increases in tuition fees at re-enrolment in the programme. Further information on tuition fees and payment options is contained in our Fees Policy .

3) Student ID Cards

To produce an ID card, we need a recent photograph of you that is not obscured and is a true likeness. We will either ask you to send us/upload a photograph in advance of enrolment or take one of you at the point of enrolment. The photograph will be held on our student records system for identification purposes by administrative, academic and security/reception staff. By accepting these Terms of Admittance you are confirming that you agree to your photograph being used in this way. If you object to your photograph being used in this way please contact the University Secretary via email at gov&[email protected] . You are required to provide proof of your identity at initial enrolment and prior to the issue of your UEL student ID card. This is usually a full and valid passport but instead of this you may bring two of the following:

• A (full or provisional) driving licence showing current address
• An international driving licence
• An original birth certificate (in English)
• A debit or credit card (one only)
• A benefit book or benefit award letter (dated within the last 3 months)
• An Armed Forces Identity card
• A police warrant card

You are required to carry and display your student ID card whilst on UEL premises and must keep it safe so that it is not misused by others.

4) Proof of qualifications

You are required to produce evidence of having satisfied the entry requirements for your programme. Such evidence must be in the form of the original certificates or certified notification of results from the examining body. All qualifications must be in English or supported by an official certified translation. If you fail to provide evidence of having satisfied the requirements for the programme you are liable to be withdrawn from the programme.

5) Non-academic entry requirements

You may need to demonstrate that you have met non-academic entry requirements prior to enrolment by providing additional information to UEL. For example, if you:-

• are under 18 years of age at the time of initial enrolment,
• are applying to a programme that requires health clearance for study as stated in the programme specification,
• have declared a relevant criminal conviction,
• will be studying a programme that involves contact with children and/or vulnerable adults or leads to membership in a professional body that deals with children and/or vulnerable adults.

You will not be permitted to enrol and any offer will be withdrawn if UEL deems that you are unsuitable for study following assessment of this additional information in line with published policies. These policies will be provided to you when the additional information is requested.

6) Criminal convictions

UEL has a responsibility to safeguard staff, students and the wider community. You are required to inform UEL of any relevant criminal convictions you have and provide further information relating to these as requested. This includes any relevant criminal convictions received whilst studying at UEL. UEL will assess all information received in line with published policies and may remove you from a programme if the conviction makes you unsuitable for study in UEL's opinion. Failure to declare a relevant criminal conviction or provide further information about you may result in expulsion from UEL.

7) Providing false information to UEL

If you are discovered to have falsified or misrepresented information presented to UEL at application, enrolment or during your studies, you may be expelled from UEL.

8) Continued enrolment and student status

You are expected to abide by all UEL policies and regulations, both those in force at the time of first and subsequent enrolment and as later revised and published from time to time. UEL reserves the right to make reasonable changes to its policies and regulations and any substantial amendments will be brought to your attention. You are also required to take personal responsibility for your studies; this includes undertaking all studies in support of your programme as prescribed by UEL. Key policies include: Manual of General Regulations This describes the general regulatory framework of UEL and gives information about how UEL confers its degrees, diplomas and certificates. It includes important information about academic performance requirements for continued study. Engagement Attendance Policy This outlines UEL's expectations of students in relation to attendance on and engagement with taught programmes. These students are expected to attend all scheduled classes and engage fully with learning materials and resources provided to them - failure to do so may result in withdrawal from module(s) and/or the programme. Code of Practice for Postgraduate Research Degrees The purpose of this code is to provide a framework for the successful organisation and implementation of good practice in all matters relating to postgraduate research degrees at UEL. It aims to ensure that all students are effectively supported and supervised so that the full scope and potential of their research is realised; that their thesis is submitted within regulatory periods and that they complete their programme with a suitable and sufficient portfolio of research and employment-related skills and competencies. Health and Safety Policy This describes the structures and processes by which UEL protects the health and safety of its staff, students and visitors. It confirms that students will receive sufficient information, instruction and induction in relation to health and safety. All students should take reasonable care of their health and safety. They must abide by UEL’s rules and regulations and cooperate with supervisors to enable them to fulfil their obligations. Students must not interfere intentionally, or recklessly misuse anything provided for health and safety. UEL has consulted with its students and staff and has adopted a No Smoking Policy to safeguard the health and well-being of its community. Students are required to comply with this policy which restricts smoking to designated shelters and prohibits the use of electronic cigarettes within any UEL building or near building entrances. For further information on our Healthy Campus initiatives and support please visit the Health and Safety pages . Student Disciplinary Regulations and Procedures (incorporating the student code of conduct) This code is more than a list of things that we should and should not do: it reminds us that we should always consider how our behaviour affects others. The code applies:

• to all students;
• at all sites throughout our estate, and;
• when we represent UEL on business beyond our campus, both in real (face-to-face) and virtual environments.

And outlines expectations of students:

• verbal and physical behaviour should always be polite and respectful;
• behaviour should not impair the engagement, learning or participation of others;
• anti-social behaviour by individuals and groups will not be tolerated.

9) Changes to scheduled programmes

UEL will take all reasonable steps to ensure that the programme of study that you have accepted will conform to the programme specification published on our website and will ensure that the necessary resources required to enable you to meet the required learning outcomes and pass the relevant assessments are available. In order to ensure that our programmes are current and relevant, they are subject to regular review. From time to time, to ensure the maintenance of academic standards and/or compliance with professional body requirements, it may be necessary to amend a module or make adjustments to programme content. Major changes to programmes that in the reasonable opinion of UEL, will have a significant impact on students will involve consultation with students already enrolled on the programme when the changes are proposed. Once any changes are confirmed, UEL will notify all students and applicants of the changes. When UEL reasonably considers that the change may only impact one or more cohorts on the relevant programme, UEL may decide to only consult with the relevant cohort. In the event that we discontinue a programme, we will normally permit existing students to complete the programme within the typical duration of study. In these circumstances, UEL will use reasonable endeavours to continue the programme for existing students without making major changes. If this is not possible, we will support students in changing to another UEL programme on which a place is available, and for which the student is suitably qualified, or assist with transfer to another HEI to complete the programme elsewhere.

10) Changes to these terms

We may change these terms from time to time where, in UEL's opinion, it will assist in the proper delivery of any programme of study or in order to:- (a) Comply with any changes in relevant laws and regulatory requirements; (b) Implement legal advice, national guidance or good practice; (c) Provide for new or improved delivery of any programme of study; (d) Reflect market practice; (e) In our opinion make them clearer or more favourable to you; (f) Rectify any error or mistake; or (g) Incorporate existing arrangements or practices. No variation or amendment to these Terms of Admittance may be made without our prior written agreement. In the event that we agree to transfer you to an alternative programme of study, the transfer will be considered to be a variation to the Terms of Admittance, which shall otherwise remain in full force and existence. If we revise the Terms of Admittance, we will publish the amended Terms of Admittance by such means as we consider reasonably appropriate. We will use reasonable endeavours to give you notice of any changes before they take effect.

11) Data Protection

UEL is committed to adhering to its obligations under the Data Protection Act 2018 and will act as a Data Controller when it processes your personal data. You can find our registration to the Data controller register on ico.org.uk . UEL processes your personal data to fulfil its contractual and legal obligations to students. Personal data that we process about you includes:

• Your contact details and other information submitted during the application and enrolment processes;
• Details of courses, modules, timetables and room bookings, assessment marks and examinations related to your study;
• Financial and personal information collected for the purposes of administering fees and charges, loans, grants, scholarships and hardship funds;
• Photographs, and video recordings for the purpose of recording lectures, student assessments and examinations and for the purposes of university promotion that is in our legitimate interest but still fair to you;
• Information about your engagement with the University such as attendance data and use of electronic services such as Moodle, Civitas and YourTutor;
• Contact details for next of kin to be used in an emergency;
• Details of those with looked-after status or those who have left the care system for the provision of support;
• Information related to the prevention and detection of crime and the safety and security of staff and students, including, but not limited to, CCTV recording and data relating to breaches of University regulations;

This is not an exhaustive list, for further information please refer to our fair processing notice pages on uel.ac.uk. In all of its data processing activities, UEL is committed to ensuring that the personal data it collects stores and uses will be processed in line with the data protection principles which can be summarised as:

• Being processed lawfully, fairly and in a transparent manner;
• Collected for specified, explicit and legitimate purposes;
• Adequate, relevant and limited to what is necessary;
• Accurate and, where necessary, kept up to date;
• Kept in a form which permits identification of data subjects for no longer than is necessary;
• Processed in a manner that ensures appropriate security of the personal information;
• Be accountable for, and be able to demonstrate compliance with, the six principles above.

Student Responsibilities You must ensure that:

• All personal data provided to UEL is accurate and up-to-date. You must ensure that changes of address etc. are notified to the Student Hub.
• Students who use UEL's computing facilities may process personal data as part of their studies. If the processing of personal data takes place, students must take responsibility for that processing activity to ensure that it is in line with the data protection principles above.
• Students who are undertaking research projects using personal data must ensure that:
• The research subject is informed of the nature of the research and is given a copy of UEL's Fair Processing Notice and this Data Protection Policy.

12) Legal basis for use of data

By agreeing to these Terms of Admittance and enrolling at UEL, you are agreeing to the terms and conditions of a contract for the use of your personal data relating to your enrolment, and if appropriate, registration and ongoing participation in a programme of study. Your personal or special category data will be collected, processed, published and used by UEL, its online learning and teaching services and/or its partners and agents in ways which support the effective management of UEL and your programme of study, to allow for the delivery of bursary schemes and to support improvements to student experience and progression, and are consistent with: The terms of the Data Protection Act 2018; Any notification submitted to the Information Commissioner in accordance with this legislation; and compliance with any other relevant legislation. You have fundamental rights associated with how organisations use your personal data. Further information on data protection and use of your personal data can be found in our Data Protection Policy and on uel.ac.uk.

13) Intellectual property

You are entitled to the intellectual property rights created during your time studying at UEL that would belong to you under the applicable law. There are some programmes where the assignment of certain types of intellectual property to UEL is appropriate. UEL will require the assignment to it of intellectual property rights relating to postgraduate research that is part of an ongoing research programme. Where the nature of the research programme means that some assignment of intellectual property rights to UEL is appropriate, we will take what steps that we can to ensure that your interests are protected. UEL will take reasonable endeavours to ensure:-

• the scope of the assignment is narrow, and is restricted to what is necessary, for example, to protect UEL’s legitimate interests in the intellectual property created as party to a research programme;
• the application of the assignment is clearly defined so that it is clear to you in which circumstances the assignment will apply;
• where the assignment of the intellectual property is appropriate in the circumstances, we will take all reasonable steps to ensure that the rights of the parties are evenly balanced (for example, your work being acknowledged in a publication and, where appropriate, subject to an appropriate revenue sharing scheme)
• where UEL claims ownership of intellectual property rights in relation to a taught programme of study, such treatment of those rights will be made clear in the published information relating to that programme.

14) How we communicate with you

UEL will communicate with you via a variety of channels, including postal letters, e-mail, SMS text messages and online notices. To enable this, we request that you provide us with your e-mail address, postal address, and contact telephone number when you first enrol. Throughout your studies, it is important that you keep your contact details up to date. You can view and edit this information by logging into our student portal, UEL Direct at https://uel.ac.uk/Direct . We will create a UEL e-mail account for you after you enrol. Your e-mail address will be your student number, prefixed with a ‘u’ and followed by ‘@uel.ac.uk’ – e.g.: [email protected]. UEL will use this e-mail address to communicate with you and it is important that you regularly check and manage this mailbox for important updates and information. You can access your email account, plus information about our services, news and events by logging into our Intranet, intranet.uel.ac.uk. At the login screen, enter your email address (as above) and password. Your default UEL password will be your date of birth, formulated as DD-MMM-YY, e.g. 31-jan-84. Your UEL email account and associated UEL IT accounts will be deleted not more than 6 months after you graduate or withdraw from your programme of study (if earlier).  

15) University of East London Students' Union

The University of East London Students' Union (UELSU) represents students at UEL. By enrolling at UEL you are automatically granted membership of both UELSU and the National Union of Students (NUS). If you wish to opt out from this membership, please inform UELSU in writing at either [email protected]  or by writing to Chief Executive, UELSU, University of East London, Docklands Campus, 4-6 University Way, London E16 2RD. UELSU provides a range of services and support to students and can provide advice and representation on any matter affecting the contract between you and UEL. For further information on this support, please visit www.uelunion.org

16) Students studying at partner institutions

If you are undertaking a programme of study at a partner institution you will need to generally abide by the above terms and also those of the partner institution. Further information and support in understanding these terms is available from the Academic Partnership Office -  [email protected] .

17) International students - additional responsibilities

All international students must also comply with UK Visa and Immigration requirements. All international students are required to hold a valid visa which permits study in the UK or hold a Tier 4 visa/have applied for a Tier 4 visa with a Confirmation of Acceptance for Studies issued by UEL. Students who are being sponsored under a Tier 4 student visa must also understand and comply with the responsibilities of their student visa and cooperate with UEL in fulfilling our Tier 4 duties .

18) Equality, Diversity and Inclusion

UEL is committed to working together to build a learning community founded on equality of opportunity – a learning community which celebrates the rich diversity of our student and staff populations and one in which discriminatory behaviour is challenged and not tolerated within our community. Within the spirit of respecting difference, our equality and diversity policies promise fair treatment and equality of opportunity for all regardless of gender, ethnicity, sexual orientation, age, disability or religion/belief (or lack of). In pursuing this aim, we want our community to value and to be at ease with its own diversity and to reflect the needs of the wider community within which we operate. For further information on this inclusive approach to education please visit our Student Policies page .

19) Complaints

We welcome feedback on our programmes and services and facilitate this in a variety of ways, including programme committees, module evaluation forms and surveys. However, if you are dissatisfied with a particular service or programme or the manner in which it has been delivered, you must let the person responsible for that service know as we will always try to resolve matters at the earliest opportunity via informal conciliation. If you are unsure who to approach, please e-mail The Hub who will be able to direct your concerns appropriately. If you remain dissatisfied with a service or programme, or the manner in which it is delivered, you should refer to our formal complaints procedure to have the matter formally addressed. In addition, once you have enrolled on your programme, you will also have access to the Advice and Information Service offered by UELSU. This access is not available to students studying at partner institutions.

20) Cancellation

If you wish to cancel this contract within 14 days of enrolment in your programme, you must do so in writing. Any fees that you have paid will be refunded – please see the Fees Policy for further information on obtaining a refund.

21) Further guidance

If any of the information in these Terms of Admittance or related policies is unclear or if you have any questions, please contact The Hub for guidance on +44 (0) 208 223 4444 .

22) Right to advice

This is a consumer contract and you are able to obtain independent advice in relation to its terms and conditions from UELSU as well as your local Citizens Advice Bureau.  

23) General

Neither you nor UEL will be liable for failure to perform their obligations under these Terms of Admittance if such failure arises from unforeseeable events, circumstances or causes outside of that party's reasonable control. Examples of such events include, but are not limited to, war, terrorism, industrial disputes, natural disasters, fire and national emergencies. Only you and UEL are parties to these Terms of Admittance. No other person shall have any rights under the Contracts (Rights of Third Parties) Act 1999 to enforce any term of these Terms of Admittance. Failure or delay by you or UEL to exercise any right or remedy provided under this contract shall not constitute a waiver of that or any other right or remedy, nor shall it prevent or restrict the further exercise of that or any other right or remedy. No single or partial exercise of such right or remedy shall prevent or restrict the further exercise of that or any other right or remedy. These Terms of Admittance are governed by the law of England and Wales and you and UEL agree to submit to the exclusive jurisdiction of the courts of England and Wales.

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Professional Doctorate Data Science

The first industrial doctorate of its kind will equip you with interdisciplinary research and practical skills for a job in data science or data analytics.

• Award ProfD
• Start date September 2024, January 2025, September 2025, January 2026
• Application deadline $value
• Duration Doctorate full-time: 36 months, Doctorate part-time: 72 months
• Mode of study full time, part time
• Delivery on campus

Our Professional Doctorate in Data Science is the first industrial doctorate of its kind, and is supported by The Data Lab innovation centre.

We build on Stirling’s highly successful taught MSc Data Science to equip you with a range of cutting-edge, interdisciplinary research and practical skills and tools, that will lead to an academic or industry job in the area of Data Science, with possible applications to sectors such as life-sciences, finance, engineering, computing, healthcare, fintech or business.

In addition to enhancing students’ employability through work-based learning, the doctorate prepares you to undertake interdisciplinary Data Science research, jointly supervised by world-leading Stirling academics and Data Science industry experts.

The Professional Doctorate consists of a one-year taught programme, based on Stirling MSc programmes in Data Science, and a two-year research programme, to be conducted in collaboration with an industrial partner around industry-relevant research questions. Students could be employees of the industrial partner looking for further training and qualification, or have already established a (potential) collaboration with an industrial partner willing to support the project.

Each of our MSc in Data Science or in Fintech may offer the opportunity to establish a suitable collaboration with an industrial partner, and then grant access to the second year of the Professional Doctorate in Data Science on a research programme agreed with the industrial partner.

Specific projects and collaborations can be considered on a case-by-case basis. An (in principle) agreement with an identified partner company is necessary for the research component of the program.

Top reasons to study with us

Course objectives.

This professional/industrial doctorate is designed to:

• Equip professionals with the required multi-disciplinary skills, and underlying theoretical, practical and transferable knowledge, to undertake practitioner-oriented, impact-led research in data science.
• Give sound training in relevant practical, investigative, analytical and generic skills required for research in the area of data science.
• Experience of data science challenges and applications in a wide range of areas, such as business, healthcare, life science, fintech and scientific disciplines.
• Provide the opportunity to plan, undertake and prepare publication quality research.

Work placements

The research component of the Professional Doctorate in Data Science is a project of industrial interest to be carried out in collaboration with a company supporting the project.

Flexible learning

If you’re interested in studying a module from this course, the Postgraduate Certificate or the Postgraduate Diploma then please email Graduate Admissions to discuss your course of study.

Faculty facilities

The Professional Doctorate can be attended both as a full time or part-time course. The taught component is organised around learning material provided online, contact teaching and tutorial hours, and an “open-door” approach allowing students a direct contact with lecturers, providing for great flexibility in the organisation of study. The research component consists of a research project whose development can be planned by agreement between the student, the company and the academic supervisor.

If you’re interested in studying a module from this course, the Postgraduate Certificate or the Postgraduate Diploma then please email Graduate Admissions to discuss your course of study.

Entry requirements

Academic requirements.

Students applying may have a variety of backgrounds including:

• numerate and computational degrees (computing, mathematics, physics, engineering)
• medical/clinical, business, marketing or economics background, plus some relevant work (industrial or commercial) experience

Students may also come from other science or engineering backgrounds, to gain applied research and analytical skills that are in high demand in the Scottish job market.

Students with suitable research-oriented Masters degrees in numerate and computational disciplines (computing, mathematics, physics, engineering), will be considered for direct entry to the second year of the Doctoral Training Component, on a case-by-case basis.

An established, in-principle or under-discussion agreement with an industrial partner interested in collaborating and supporting the research component of the programme should be in place.

International entry requirements

View the entry requirements for your country.

English language requirements

If English is not your first language you must have one of the following qualifications as evidence of your English language skills:

• IELTS Academic or UKVI 6.0 with a minimum of 5.5 in each sub-skill.
• Pearson Test of English (Academic) 60 overall with a minimum of 59 in each sub-skill.
• IBT TOEFL 78 overall with a minimum of 17 in listening, 18 in reading, 20 in speaking and 17 in writing.

See our information on English language requirements for more details on the language tests we accept and options to waive these requirements.

Pre-sessional English language courses

If you need to improve your English language skills before you enter this course, our partner INTO University of Stirling offers a range of English language courses. These intensive and flexible courses are designed to improve your English ability for entry to this degree.

Find out more about our pre-sessional English language courses .

Course details

You will undertake a number of taught modules to equip you with the skills required for data science research. These modules are taught through lectures, practicals and small group work and are assessed through a variety of course work and exams.

Compulsory modules:

• Mathematical Foundations (10 credits)
• Statistics for Data Science (10 credits)
• Representing and Manipulating Data (20 credits)
• Commercial and Scientific applications (20 credits)
• Relational and non-relational databases (20 credits)
• Data Analytics (20 credits)
• Cluster Computing (20 credits)
• Research Dissertation project (60 credits)

To prepare for the professional doctorate, an independent research project (60 credits) will include a systematic review of an appropriately challenging applied research topic/area, and development of a full Doctorate research proposal as outputs – assessed through an oral viva exam and research poster presentation.

Following the taught component, you will undertake a period of industry-led applied research (360 level 12 credits) by working with experienced academic and industrial supervisors, on original piece(s) of an applied research project. The project could either be a single long project or a portfolio of data-centric projects, depending on the industrial organization’s strategic priority needs. Outcomes will be presented in a doctoral dissertation assessment through a viva examination by internal and external examiners.

Course Details

The taught component of the Professional Doctorate spans across the first year and mutates the modules from the various MSc in Data Science, and includes an advanced dissertation project with an assessment of the state of the art and research plan for the next two years.

The research component consists of a period of industry-led applied research, carried out by working with experienced academic and industrial supervisors, on original piece(s) of an applied research project. The project could either be a single long project or a portfolio of data-centric projects, depending on the industrial organisation’s strategic priority needs. Outcomes will be presented in a doctoral dissertation.  

Assessment of the taught component of the program follows the standard assessment of MSc modules and may consists of a variety of assessment strategies, including written assignments, exams,  individual projects, collaborative and group work, lab work, presentations and reports and a dissertation project.

The doctoral dissertation will be assessed through a viva examination by an internal and an external examiner (as in a PhD viva).

Assessment will be tailored to students’ special needs, where appropriate.

Course director

Dr Andrea Bracciali

[email protected] +44 (0)1786 467446

Fees and funding

Fees and costs.

This fee is charged as an annual course fee. If you need to extend your period of study or repeat study, you will be liable for additional fees. Your fees will be held at the same level throughout your course.

For more information on courses invoiced on an annual fee basis, please read our tuition fee policy .

Doctoral loans

If you're domiciled in England or Wales you may be eligible to apply for a doctoral loan from your regional body:

• English students can apply for a loan of up to £28,673 from  Student Finance England .
• Welsh students can apply for a loan of up to £28,395 from  Student Finance Wales .

Funding 

Eligible international students could receive a scholarship worth between £4,000-£7,000.  See our range of generous scholarships for international postgraduate students .

University of Stirling alumni will automatically be awarded a fee waiver for the first year of Masters studies through our Stirling Alumni Scholarship .

Applicants from the UK or Republic of Ireland who hold a first-class honours degree or equivalent will automatically be awarded a £2,000 scholarship through our  Postgraduate Merit Scholarship .

If you have the talent, ability and drive to study with us, we want to make sure you make the most of the opportunity – regardless of your financial circumstances.

Learn more about available funding opportunities or use our scholarship finder to explore our range of scholarships.

Additional costs

There are some instances where additional fees may apply. Depending on your chosen course, you may need to pay additional costs, for example for field trips. Learn more about additional fees .

Cost of living

If you’re domiciled in the UK, you can typically apply to your relevant funding body for help with living costs. This usually takes the form of student loans, grants or bursaries, and the amount awarded depends upon your personal circumstances and household income.

International (including EU) students won’t normally be able to claim living support through SAAS or other UK public funding bodies. You should contact the relevant authority in your country to find out if you’re eligible to receive support.

Find out about the cost of living for students at Stirling

Payment options

We aim to be as flexible as possible, and offer a wide range of payment methods - including the option to pay fees by instalments. Learn more about how to pay

After you graduate

Demand for people with data science skills is projected to grow rapidly in the coming years attracting high salaries.

Our Professional Doctorate in Data Science is run in partnership with industry and is designed to produce graduates with the skills that companies need.

Employability skills

The Doctorate programme, equivalent to an Engineering Doctorate (EngD), is aimed at a clear and distinct market of professionals seeking to enhance their employability opportunities through applied, impact-led research. You’ll learn to develop and validate innovative, data-driven and evidence-based approaches within your chosen career. The programme is geared towards enhancing both your applied, multi-disciplinary research and employability skills in data science.

The doctorate is open to any profession where data-driven and data-intensive research, and its informational derivatives, are central to the development of sustainable business and industry models, including decision-making, project and risk evaluation, policy and technology development. The doctorate research component is relevant to the student’s professional setting and career aspirations.

Companies we work with

Stirling is a member of The Data Lab, which is an Innovation Centre with the aim of developing the data science talent and skills required by industry in Scotland. The Data Lab collaborates with the University of Stirling to help deliver the course, and provide funding and resources for students. You can find out more about the Data Lab from their web site .

We have also developed this professional doctorate in partnership with global and local companies who employ data scientists. HSBC have a development centre in Stirling and have provided some very interesting Data Science projects to our students. Amazon’s development centre in Scotland is close by in Edinburgh. The first year of the course features a long Industry-led research dissertation project, generally in partnership with a company or technology provider. This provides students with a showcase of their skills to take to employers or launch online.

We also have a programme of invited speakers from industry who give the students a chance to ask questions of people who are doing data science every day. Recent companies have included MongoDB, SkyScanner and HSBC.

Related courses

• MSc Artificial Intelligence
• MSc Big Data
• MSc Big Data (Online)
• MSc Business Analytics
• MSc Data Science for Business
• MSc Finance and Data Analytics
• MSc Financial Technology (FinTech)
• MSc Marketing Analytics
• MSc Mathematics and Data Science
• MSc Social Statistics and Social Research

Which course would you like to apply for?

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Health Data Science

• Entry year 2024 or 2025
• Duration Full time 3 - 4 years, Part time 4 - 7 years

The PhD in Health Data Science provides research training in developing applied informatic and analytic approaches to data within health-related subjects such as medicine and the biomedical, biotechnological, and bioengineering sciences.

You will join the programme with a supervisory panel composed of academics working in health data science more broadly. Throughout the programme, and particularly during your first year, you will be encouraged to engage in training opportunities at Lancaster and elsewhere to develop both your research skills and subject-specific knowledge and abilities. Throughout your studies, you will focus on novel scientific research, developing best practice in interpreting and communicating new scientific methods and findings.

Your department

• Lancaster Medical School Faculty of Health and Medicine
• Telephone +44 (0)1524 592032

Entry requirements

Academic requirements.

2:1 Hons degree (UK or equivalent) in a relevant subject.

We may also consider non-standard applicants, please contact us for information.

If you have studied outside of the UK, we would advise you to check our list of international qualifications before submitting your application.

Additional Requirements

As part of your application you will also need to provide a viable research proposal. Guidance for writing a research proposal can be found on our writing a research proposal webpage.

English Language Requirements

We may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously.

We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 5.5 in each element of the test. We also consider other English language qualifications .

If your score is below our requirements, you may be eligible for one of our pre-sessional English language programmes .

Contact: Admissions Team +44 (0) 1524 592032 or email [email protected]

Fees and funding

The tuition fee for students with home fee status is set in line with the standard fee stipend provided by the UK Research Councils. The fee stipend for 2024/25 has not been set. For reference, the fee stipend for 2023/24 was full-time £4,712.

The international fee for new entrants in 2024/25 is full-time £26,490.

Depending on the nature of the research project, an additional programme cost may be charged. This additional fee will contribute towards the costs incurred on specific research projects. These costs could include purchasing specialist consumables, equipment access charges, fieldwork expenses and payments for transcription/translation services.  Normally any additional charge will not exceed a maximum of £9,720 but this could be increased in exceptional circumstances.

Applicants will be notified of any specific additional programme cost when the offer of a place is made.

General fees and funding information

Additional fees and funding information accordion

There may be extra costs related to your course for items such as books, stationery, printing, photocopying, binding and general subsistence on trips and visits. Following graduation, you may need to pay a subscription to a professional body for some chosen careers.

Specific additional costs for studying at Lancaster are listed below.

College fees

Lancaster is proud to be one of only a handful of UK universities to have a collegiate system. Every student belongs to a college, and all students pay a small College Membership Fee which supports the running of college events and activities. Students on some distance-learning courses are not liable to pay a college fee.

For students starting in 2024, the fee is £40 for undergraduates and research students and £15 for students on one-year courses. Fees for students starting in 2025 have not yet been set.

Computer equipment and internet access

To support your studies, you will also require access to a computer, along with reliable internet access. You will be able to access a range of software and services from a Windows, Mac, Chromebook or Linux device. For certain degree programmes, you may need a specific device, or we may provide you with a laptop and appropriate software - details of which will be available on relevant programme pages. A dedicated IT support helpdesk is available in the event of any problems.

The University provides limited financial support to assist students who do not have the required IT equipment or broadband support in place.

For most taught postgraduate applications there is a non-refundable application fee of £40. We cannot consider applications until this fee has been paid, as advised on our online secure payment system. There is no application fee for postgraduate research applications.

For some of our courses you will need to pay a deposit to accept your offer and secure your place. We will let you know in your offer letter if a deposit is required and you will be given a deadline date when this is due to be paid.

The fee that you pay will depend on whether you are considered to be a home or international student. Read more about how we assign your fee status .

If you are studying on a programme of more than one year’s duration, tuition fees are reviewed annually and are not fixed for the duration of your studies. Read more about fees in subsequent years .

Scholarships and bursaries

You may be eligible for the following funding opportunities, depending on your fee status and course. You will be automatically considered for our main scholarships and bursaries when you apply, so there's nothing extra that you need to do.

Unfortunately no scholarships and bursaries match your selection, but there are more listed on scholarships and bursaries page.

If you're considering postgraduate research you should look at our funded PhD opportunities .

We also have other, more specialised scholarships and bursaries - such as those for students from specific countries.

Browse Lancaster University's scholarships and bursaries .

Similar courses

Data, computing and communications.

• Communication Systems MSc by Research
• Communication Systems PhD
• Computer Science MPhil/PhD
• Computer Science MSc by Research
• Cyber Security MSc
• Cyber Security Executive MBA MBA
• Data Science MSc
• Data Science PgCert
• Data Science PgDip
• Health Data Science MSc

Health Studies

• Clinical Psychology DClinPsy
• Dementia Studies PhD
• Health Economics and Policy MSc
• Health Economics and Policy PhD
• Health Research PhD
• Mental Health PhD
• Organisational Health and Well-Being PhD
• Palliative Care PhD
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Mathematics and Statistics

• Mathematics PhD
• Natural Sciences MSc by Research
• Natural Sciences PhD
• Social Statistics PhD
• Statistics MSc
• Statistics PGDip
• Statistics PhD
• Statistics PhD (Integrated)
• Statistics and Epidemiology PhD
• Statistics and Operational Research MRes
• Statistics and Operational Research (STOR-i) PhD
• Anaesthesia and Peri-Operative Sciences PgDip
• Clinical Research MSc
• Clinical Research PgCert
• Clinical Research PgDip
• Medical Education PgCert
• Medical Ethics and Law PhD
• Medical Sciences MSc by Research
• Medicine PhD
• Medicine M.D.
• Social and Behavioural Sciences in Medicine PhD
• Sports and Exercise Sciences PhD

Important Information

The information on this site relates primarily to 2025/2026 entry to the University and every effort has been taken to ensure the information is correct at the time of publication.

The University will use all reasonable effort to deliver the courses as described, but the University reserves the right to make changes to advertised courses. In exceptional circumstances that are beyond the University’s reasonable control (Force Majeure Events), we may need to amend the programmes and provision advertised. In this event, the University will take reasonable steps to minimise the disruption to your studies. If a course is withdrawn or if there are any fundamental changes to your course, we will give you reasonable notice and you will be entitled to request that you are considered for an alternative course or withdraw your application. You are advised to revisit our website for up-to-date course information before you submit your application.

More information on limits to the University’s liability can be found in our legal information .

Our Students’ Charter

We believe in the importance of a strong and productive partnership between our students and staff. In order to ensure your time at Lancaster is a positive experience we have worked with the Students’ Union to articulate this relationship and the standards to which the University and its students aspire. View our Charter and other policies .

Why Lancaster?

League tables and reputation

A highly-ranked university with a global reputation.

Colleges and community

Your college will be your home away from home.

Careers and employability

Career support for our students through university and beyond.

Student life

Lancaster has so much to offer. On our campus, in our city and in our community, you’ll find your place – whoever you are.

Where is Lancaster?

Lancaster is easy to get to and surrounded by natural beauty.

The campus and the city

Our campus and the surrounding area is a great place to call home.

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DPhil in Social Data Science

• Entry requirements
• Funding and Costs

College preference

• How to Apply

About the course

The DPhil in Social Data Science is an advanced research degree which provides the opportunity to investigate and address novel research questions at the intersection of the computational and social sciences, supported by the multidisciplinary faculty at the OII, Mathematics, Computer Science, Engineering, Statistics,  and other departments across the University of Oxford. The DPhil, normally taking three to four years of full-time study to complete, is known as a PhD at other universities.

The DPhil in Social Data Science at the Oxford Internet Institute (OII) will introduce you to cutting-edge research whilst studying in a beautiful, historic setting that is both student- and family-friendly. During your study at Oxford, you are encouraged to pioneer new approaches to contemporary social and policy issues online, developing new computational and data-driven methodology to inform the development and governance of technology. As a student, you will be part of a diverse cohort of research students, of many nationalities and from a wide range of scientific backgrounds. Research students in Social Data Science are graduates in subjects from computer science and mathematics to physics, as well as transdisciplinary subjects such as human-centred data science and complex systems.

The course combines individual supervision with a selection of lectures, seminars, transferrable skills training, and opportunities to participate in leading-edge research activities. OII faculty are world class experts working in the cutting-edge of their fields, and this innovative research is fully reflected in their course teaching. You will be able to audit courses led by faculty at the OII, as well as courses in other departments.

The programme provides a strong computational foundation, training you to develop new research skills in areas such as machine learning, statistical modelling, large-scale data collection, algorithm auditing, or network science. The DPhil in Social Data Science provides you with a rare grounding in both technical skills and social science research , helping you build critical skills to study digital technologies. There are weekly opportunities for you to interact with DPhil in Information, Communication and the Social Sciences students, providing a rich multidisciplinary environment.

As a full-time student, you are expected to continue working outside of the University terms with an annual holiday of approximately eight weeks.

Part-time study

The DPhil programme at the OII is also available on a part-time basis. The part-time programme is spread over six to eight years of study and research. It offers the flexibility of part-time study with the same high standards and requirements as the full-time DPhil programme. The part-time DPhil also provides an excellent opportunity for professionals in industry and civil society to undertake rigorous long-term research that may be relevant to their career.

As a part-time student, you will be required to attend seminars, supervision meetings, and other obligations in Oxford for a minimum of 30 days each year. Attendance will be required during term-time (a minimum of one day each week). There will be limited flexibility in the dates and pattern of attendance, which will normally be determined by the fixed teaching and seminar schedule during term. Attendance may be required outside of term-time on dates to be determined by mutual agreement with your supervisor. You will have the opportunity to tailor your part-time study in liaison with your supervisor and agree your pattern of attendance.

Supervision

The allocation of graduate supervision for this course is the responsibility of the Oxford Internet Institute and it is not always possible to accommodate the preferences of incoming graduate students to work with a particular member of staff.

Supervision for the DPhil in Social Data Science spans multiple departments (please see the full list of faculty members  eligible to supervise DPhil students for this programme). A supervisor may be found outside the list on the course web page, and co-supervision is also possible. All students will have at least one supervisor who is a faculty member of the OII.

Students should normally expect to meet with their supervisor at least three to four times a term. A more typical pattern is weekly or bimonthly, at least until you reach the stage of writing up your thesis.

The first year is a probationary year, soon after which, subject to satisfactory progress, you will be expected to transfer from Probationer Research Student (PRS) status to full DPhil status. The Transfer of Status takes place within a maximum of four terms for full-time students or eight terms for part-time students. A second formal assessment of progress, Confirmation of Status, takes place later in the programme, normally at the end of the third year. The Transfer of Status and Confirmation of Status assessments are conducted by two members of staff other than the student’s supervisor(s) or advisors.

The sequence of milestones for a DPhil student are as follows:

• Admission as a Probationer Research Student (PRS)
• Transfer to DPhil status (‘Transfer of Status’)
• Confirmation of DPhil status for DPhil students (‘Confirmation of Status’)
• Submission of thesis

Students initially admitted to the status of Probationer Research Student (PRS) are required to attend and pass core modules from the OII’s training programme. Students who have already completed similar courses in their past academic career should request an exemption from one or more modules by providing sufficient evidence.  

A successful transfer of status from PRS to DPhil status will require the student to show that their proposed thesis represents a viable topic and that their written work and interview show that they have a good knowledge and understanding of the subject. Students are also required to demonstrate satisfactory completion of the foundational courses by this point.

Following successful transfer, students will need to apply for and gain confirmation of DPhil status to show that the work continues to be on track. This will need to be completed within nine terms of admission for full-time students and 18 terms of admission for part-time students.

Both milestones involve an interview with two assessors (other than your supervisor) and therefore provide important experience for the final oral examination.

Full-time students will be expected to submit an original thesis of not more than 100,000 words three or, at most, four years from the date of admission. If you are studying part-time, you be required to submit your thesis after six or, at most, eight years from the date of admission. To be successfully awarded a DPhil in Social Data Science you will need to defend your thesis orally (viva voce) in front of two appointed examiners.

Graduate destinations

The Oxford Internet Institute provides you with skills and opportunities in teaching, research, policymaking and business innovation. Employers recognise the value of a degree from the University of Oxford, and the OII’s doctoral students regularly go on to secure excellent positions in industry, government, and NGOs. 

Alumni who have pursued academic careers have taken up research and teaching positions including notably at the University of Oxford, Cornell University, University of Hong Kong, Imperial College London, and TU Delft. OII DPhil alumni have worked in a wide range of organisations including The World Bank, Open Technology Fund, Oxfam, Cisco, McKinsey, and Google.

The OII Alumni page  features interviews from both MSc and DPhil alumni about their time at the Department and career paths after Oxford.

Changes to this course and your supervision

The University will seek to deliver this course in accordance with the description set out in this course page. However, there may be situations in which it is desirable or necessary for the University to make changes in course provision, either before or after registration. The safety of students, staff and visitors is paramount and major changes to delivery or services may have to be made in circumstances of a pandemic, epidemic or local health emergency. In addition, in certain circumstances, for example due to visa difficulties or because the health needs of students cannot be met, it may be necessary to make adjustments to course requirements for international study.

Where possible your academic supervisor will not change for the duration of your course. However, it may be necessary to assign a new academic supervisor during the course of study or before registration for reasons which might include illness, sabbatical leave, parental leave or change in employment.

For further information please see our page on changes to courses and the provisions of the student contract regarding changes to courses.

Entry requirements for entry in 2024-25

Proven and potential academic excellence.

The requirements described below are specific to this course and apply only in the year of entry that is shown. You can use our interactive tool to help you  evaluate whether your application is likely to be competitive .

Please be aware that any studentships that are linked to this course may have different or additional requirements and you should read any studentship information carefully before applying. 

Degree-level qualifications

As a minimum, applicants should hold or be predicted to achieve the following UK qualifications or their equivalent:

• a master's degree with a mark of at least 65% ; and
• a first-class or strong upper second-class undergraduate degree with honours  in any subject.

It is expected that all applicants will hold a taught masters or other advanced degree.

For applicants with a degree from the USA, the minimum GPA sought is 3.5 out of 4.0.

If your degree is not from the UK or another country specified above, visit our International Qualifications page for guidance on the qualifications and grades that would usually be considered to meet the University’s minimum entry requirements.

GRE General Test scores

No Graduate Record Examination (GRE) or GMAT scores are sought.

Other qualifications, evidence of excellence and relevant experience

Strong analytical abilities in understanding the social aspects of the internet, World Wide Web and related technologies, as shown by the candidate’s writing sample and/or the reports of referees, are required. It would be expected that graduate applicants would be familiar with the recent published work of their proposed supervisor.

Applicants are expected to demonstrate quantitative aptitude or experience in at least half of the material covered by the MSc in Social Data Science.

Applicants may demonstrate this aptitude/experience in a variety of ways including:

• graduate and undergraduate transcripts;
• on-the-job training and practical experience;
• evidence of the successful completion of online courses.

Applicants are not expected to have published academic work previously, although publication may help the assessors judge your writing ability and thus could help your application.

Academic research related to data science or experience working in related businesses is not required, but may be an advantage.

Part-time applicants will also be expected to demonstrate their ability to commit sufficient time to study and spend a minimum of 30 days in Oxford per year, including attendance of teaching, seminars and departmental events, to complete coursework, and attend course and University events and modules. If applicable, evidence should also be provided of the employer’s commitment to make time available for study, and of the student’s permission to use employers’ data in the proposed research project.

English language proficiency

This course requires proficiency in English at the University's  higher level . If your first language is not English, you may need to provide evidence that you meet this requirement. The minimum scores required to meet the University's higher level are detailed in the table below.

*Previously known as the Cambridge Certificate of Advanced English or Cambridge English: Advanced (CAE) † Previously known as the Cambridge Certificate of Proficiency in English or Cambridge English: Proficiency (CPE)

Your test must have been taken no more than two years before the start date of your course. Our Application Guide provides  further information about the English language test requirement .

Declaring extenuating circumstances

If your ability to meet the entry requirements has been affected by the COVID-19 pandemic (eg you were awarded an unclassified/ungraded degree) or any other exceptional personal circumstance (eg other illness or bereavement), please refer to the guidance on extenuating circumstances in the Application Guide for information about how to declare this so that your application can be considered appropriately.

You will need to register three referees who can give an informed view of your academic ability and suitability for the course. The  How to apply  section of this page provides details of the types of reference that are required in support of your application for this course and how these will be assessed.

Supporting documents

You will be required to supply supporting documents with your application. The  How to apply  section of this page provides details of the supporting documents that are required as part of your application for this course and how these will be assessed.

Performance at interview

Interviews are held as part of the admissions process.

All applications are reviewed by at least two members of faculty with relevant experience and expertise. Applicants are shortlisted based on the quality of the written application. Those who are shortlisted will usually be interviewed.

Interviews are typically held three to six weeks after the application deadline. There is usually only one interview held, which lasts 30 to 40 minutes and can be held via a video conferencing platform. You will be asked questions about your academic background, your research plan, and why you think the Oxford Internet Institute would be the best place to conduct your studies. The interview panel will consist of at least two interviewers which will normally include the potential supervisor.

How your application is assessed

Your application will be assessed purely on your proven and potential academic excellence and other entry requirements described under that heading.

References  and  supporting documents  submitted as part of your application, and your performance at interview (if interviews are held) will be considered as part of the assessment process. Whether or not you have secured funding will not be taken into consideration when your application is assessed.

An overview of the shortlisting and selection process is provided below. Our ' After you apply ' pages provide  more information about how applications are assessed . 

Shortlisting and selection

Students are considered for shortlisting and selected for admission without regard to age, disability, gender reassignment, marital or civil partnership status, pregnancy and maternity, race (including colour, nationality and ethnic or national origins), religion or belief (including lack of belief), sex, sexual orientation, as well as other relevant circumstances including parental or caring responsibilities or social background. However, please note the following:

• socio-economic information may be taken into account in the selection of applicants and award of scholarships for courses that are part of  the University’s pilot selection procedure  and for  scholarships aimed at under-represented groups ;
• country of ordinary residence may be taken into account in the awarding of certain scholarships; and
• protected characteristics may be taken into account during shortlisting for interview or the award of scholarships where the University has approved a positive action case under the Equality Act 2010.

Initiatives to improve access to graduate study

This course is taking part in a continuing pilot programme to improve the selection procedure for graduate applications, in order to ensure that all candidates are evaluated fairly.

For this course, socio-economic data (where it has been provided in the application form) will be used to contextualise applications at the different stages of the selection process.  Further information about how we use your socio-economic data  can be found in our page about initiatives to improve access to graduate study.

Processing your data for shortlisting and selection

Information about  processing special category data for the purposes of positive action  and  using your data to assess your eligibility for funding , can be found in our Postgraduate Applicant Privacy Policy.

Admissions panels and assessors

All recommendations to admit a student involve the judgement of at least two members of the academic staff with relevant experience and expertise, and must also be approved by the Director of Graduate Studies or Admissions Committee (or equivalent within the department).

Admissions panels or committees will always include at least one member of academic staff who has undertaken appropriate training.

Other factors governing whether places can be offered

The following factors will also govern whether candidates can be offered places:

• the ability of the University to provide the appropriate supervision for your studies, as outlined under the 'Supervision' heading in the  About  section of this page;
• the ability of the University to provide appropriate support for your studies (eg through the provision of facilities, resources, teaching and/or research opportunities); and
• minimum and maximum limits to the numbers of students who may be admitted to the University's taught and research programmes.

Offer conditions for successful applications

If you receive an offer of a place at Oxford, your offer will outline any conditions that you need to satisfy and any actions you need to take, together with any associated deadlines. These may include academic conditions, such as achieving a specific final grade in your current degree course. These conditions will usually depend on your individual academic circumstances and may vary between applicants. Our ' After you apply ' pages provide more information about offers and conditions . 

In addition to any academic conditions which are set, you will also be required to meet the following requirements:

Financial Declaration

If you are offered a place, you will be required to complete a  Financial Declaration  in order to meet your financial condition of admission.

Disclosure of criminal convictions

In accordance with the University’s obligations towards students and staff, we will ask you to declare any  relevant, unspent criminal convictions  before you can take up a place at Oxford.

Academic Technology Approval Scheme (ATAS)

Some postgraduate research students in science, engineering and technology subjects will need an Academic Technology Approval Scheme (ATAS) certificate prior to applying for a  Student visa (under the Student Route) . For some courses, the requirement to apply for an ATAS certificate may depend on your research area.

The DPhil in Social Data Science is offered by the Oxford Internet Institute (OII) in partnership with Statistics, Engineering Science, Sociology, and other departments. The OII faculty works at the cutting-edge of their fields, and this innovative research is fully reflected in their course teaching. The department prides itself on providing a stimulating and supportive environment in which all students can flourish. As a fully multidisciplinary department, the OII offers you the opportunity to study academic, practical and policy-related issues that can only be understood by drawing on contributions from across many different fields.

In addition to the formal requirements of the DPhil thesis, all OII doctoral students have access to regular training in the key professional skills necessary to support their research and future employment. These range from classes on advanced research methods as part of the OII’s option course offerings, to professional development training (provided both by the department and the University) such as presentation skills, academic writing and navigating the process of peer review.

You will attend a weekly seminar in which you will present your own work for critique, and critique the work of your peers. The OII also provides opportunities for DPhil students to gain teaching experience through mentored assistantship roles in some of its core MSc courses.

The department's busy calendar of seminars and events brings many of the most important people in internet research, innovation and policy to the OII, allowing students to engage with cutting-edge scholarship and debates around the internet and digital technologies.

OII students also take full advantage of the substantial resources available at the University of Oxford, including world-leading research facilities and libraries, and a buzzing student scene. The departmental library provides students access to a range of resources including the texts required for the degree. Other University libraries provide valuable additional resources of which many students choose to take advantage.

Oxford Internet Institute

The Oxford Internet Institute (OII) is a dynamic and innovative department for research and teaching relating to the internet, located in a world-leading traditional research university. The multidisciplinary OII offers the opportunity to study academic, practical and policy-related issues that can only be understood by drawing on contributions from many different fields.

The OII is the only major department in a top-ranked international university to offer multidisciplinary courses in the social sciences dedicated to understanding the impact of the internet, data, and information technologies on society. We offer masters and doctoral level education across several degrees focused on social data science or the social science of the internet and technology.

Digital connections are now embedded in almost every aspect of our daily lives, and research on individual and collective behaviour online is crucial to understanding our social, economic and political world. As a fully multi-disciplinary department, we offer our students the opportunity to study academic, practical and policy-related issues and pursue cutting-edge research into the societal implications of the internet and digital technologies.

Our academic faculty and graduate students are drawn from many different disciplines: we believe this combined approach is essential to tackle society’s big questions. Together, we aim to positively shape the development of our digital world for the public good.

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The University expects to be able to offer over 1,000 full or partial graduate scholarships across the collegiate University in 2024-25. You will be automatically considered for the majority of Oxford scholarships , if you fulfil the eligibility criteria and submit your graduate application by the relevant December or January deadline. Most scholarships are awarded on the basis of academic merit and/or potential. 

For further details about searching for funding as a graduate student visit our dedicated Funding pages, which contain information about how to apply for Oxford scholarships requiring an additional application, details of external funding, loan schemes and other funding sources.

Please ensure that you visit individual college websites for details of any college-specific funding opportunities using the links provided on our college pages or below:

Please note that not all the colleges listed above may accept students on this course. For details of those which do, please refer to the College preference section of this page.

Further information about funding opportunities for this course can be found on the institute's website.

Annual fees for entry in 2024-25

Full-time study.

IMPORTANT : Please note that while most of the content of these pages relates to the course starting in 2024-25, this information about course fees and the additional information section on this page relate to entry in 2025-26 . The remaining content will be updated for 2025-26 entry later in September.

Information about course fees

Course fees are payable each year, for the duration of your fee liability (your fee liability is the length of time for which you are required to pay course fees). For courses lasting longer than one year, please be aware that fees will usually increase annually. For details, please see our guidance on changes to fees and charges .

Course fees cover your teaching as well as other academic services and facilities provided to support your studies. Unless specified in the additional information section below, course fees do not cover your accommodation, residential costs or other living costs. They also don’t cover any additional costs and charges that are outlined in the additional information below.

Continuation charges

Following the period of fee liability , you may also be required to pay a University continuation charge and a college continuation charge. The University and college continuation charges are shown on the Continuation charges page.

Where can I find further information about fees?

The Fees and Funding  section of this website provides further information about course fees , including information about fee status and eligibility  and your length of fee liability .

Additional information

There are no compulsory elements of this programme that entail additional costs beyond fees and living costs. However, please note that, depending on your choice of research topic and the research required to complete it, you may incur additional expenses, such as travel expenses, research expenses, and field trips. You will need to meet these additional costs, although you may be able to apply for small grants from your department and/or college to help you cover some of these expenses.

Please note that you are required to attend in Oxford for a minimum of 30 days each year, and you may incur additional travel and accommodation expenses for this. Also, depending on your choice of research topic and the research required to complete it, you may incur further additional expenses, such as travel expenses, research expenses, and field trips. You will need to meet these additional costs, although you may be able to apply for small grants from your department and/or college to help you cover some of these expenses.

Whilst many graduate students do undertake employment to support their studies, please remember that students on the full-time arrangement of the OII's DPhil programme are subject to limits on the number of hours that may be worked each week. Part-time student are not subject to these limitations.

Within these limitations, many of the OII's existing full-time DPhil students have been employed on a short or long-term basis as Research Assistants on grant-funded projects gaining valuable research experience. The OII also offers Teaching Assistant positions on the MSc degree for DPhil students who can display the appropriate skills. In addition, there are employment opportunities within the University (such as teaching, translation, and research assistance) as well as within the OII.

For full information on employment whilst on course, please see the University's  paid work guidelines for Oxford graduate students .

Living costs

In addition to your course fees, you will need to ensure that you have adequate funds to support your living costs for the duration of your course.

For the 2024-25 academic year, the range of likely living costs for full-time study is between c. £1,345 and £1,955 for each month spent in Oxford. Full information, including a breakdown of likely living costs in Oxford for items such as food, accommodation and study costs, is available on our living costs page. The current economic climate and high national rate of inflation make it very hard to estimate potential changes to the cost of living over the next few years. When planning your finances for any future years of study in Oxford beyond 2024-25, it is suggested that you allow for potential increases in living expenses of around 5% each year – although this rate may vary depending on the national economic situation. UK inflationary increases will be kept under review and this page updated.

If you are studying part-time your living costs may vary depending on your personal circumstances but you must still ensure that you will have sufficient funding to meet these costs for the duration of your course.

Students enrolled on this course will belong to both a department/faculty and a college. Please note that ‘college’ and ‘colleges’ refers to all 43 of the University’s colleges, including those designated as societies and permanent private halls (PPHs). 

If you apply for a place on this course you will have the option to express a preference for one of the colleges listed below, or you can ask us to find a college for you. Before deciding, we suggest that you read our brief  introduction to the college system at Oxford  and our  advice about expressing a college preference . For some courses, the department may have provided some additional advice below to help you decide.

If you are a current Oxford student and you would like to remain at your current Oxford college, you should check whether it is listed below. If it is, you should indicate this preference when you apply. If not, you should contact your college office to ask whether they would be willing to make an exception. Further information about staying at your current college can be found in our Application Guide. 

The following colleges accept students for full-time study on this course:

• Blackfriars
• Campion Hall
• Christ Church
• Exeter College
• Green Templeton College
• Hertford College
• Jesus College
• Keble College
• Kellogg College
• Linacre College
• Nuffield College
• Reuben College
• St Antony's College
• St Catherine's College
• St Cross College
• St Hilda's College
• Wadham College
• Wolfson College
• Wycliffe Hall

The following colleges accept students for part-time study on this course:

Before you apply

Our  guide to getting started  provides general advice on how to prepare for and start your application. You can use our interactive tool to help you  evaluate whether your application is likely to be competitive .

If it's important for you to have your application considered under a particular deadline – eg under a December or January deadline in order to be considered for Oxford scholarships – we recommend that you aim to complete and submit your application at least two weeks in advance . Check the deadlines on this page and the  information about deadlines and when to apply  in our Application Guide.

Application fee waivers

An application fee of £75 is payable for each application to this course. Application fee waivers are available for the following applicants who meet the eligibility criteria:

• applicants from low-income countries;
• refugees and displaced persons; 
• UK applicants from low-income backgrounds; and 
• applicants who applied for our Graduate Access Programmes in the past two years and met the eligibility criteria.

You are encouraged to  check whether you're eligible for an application fee waiver  before you apply.

Readmission for current Oxford graduate taught students

If you're currently studying for an Oxford graduate taught course and apply to this course with no break in your studies, you may be eligible to apply to this course as a readmission applicant. The application fee will be waived for an eligible application of this type. Check whether you're eligible to apply for readmission .

Do I need to contact anyone before I apply?

You are recommended to contact a potential supervisor (or supervisors) in the first instance to get feedback on the fit of your proposed research with the expertise of the supervisor before you apply. The full list of faculty members eligible to supervise DPhil students for this course, including their research interests and contact details, can be found on the departmental website. Please note that the Oxford Internet Institute will only admit students where appropriate supervision is available.

Completing your application

You should refer to the information below when completing the application form, paying attention to the specific requirements for the supporting documents .

For this course, the application form will include questions that collect information that would usually be included in a CV/résumé. You should not upload a separate document. If a separate CV/résumé is uploaded, it will be removed from your application .

If any document does not meet the specification, including the stipulated word count, your application may be considered incomplete and not assessed by the academic department. Expand each section to show further details.

Proposed field and title of research project

Under the 'Field and title of research project' please enter your proposed field or area of research if this is known. If the department has advertised a specific research project that you would like to be considered for, please enter the project title here instead.

You should not use this field to type out a full research proposal. You will be able to upload your research supporting materials separately if they are required (as described below).

Proposed supervisor

If known, under 'Proposed supervisor name' enter the name of the academic(s) whom you would like to supervise your research. Otherwise, leave this field blank.

Referees: Three overall, academic and/or professional

Whilst you must register three referees, the department may start the assessment of your application if two of the three references are submitted by the course deadline and your application is otherwise complete. Please note that you may still be required to ensure your third referee supplies a reference for consideration.

Professional references are acceptable, particularly if you have been out of education for some time, but should focus particularly on your intellectual abilities rather than more narrowly on job performance.

Your references will be assessed for:

• your intellectual ability;
• your academic achievement; and 
• your motivation and interest in the course and subject area.

Official transcript(s)

Your transcripts should give detailed information of the individual grades received in your university-level qualifications to date. You should only upload official documents issued by your institution and any transcript not in English should be accompanied by a certified translation.

More information about the transcript requirement is available in the Application Guide.

Personal statement and research proposal: Statement of a maximum of 500 words and a proposal of a maximum of 2,500 words

Your statement of purpose/personal statement and research proposal should be submitted as a single, combined document with clear subheadings. Please ensure that the word counts for each section are clearly visible in the document.

Personal statement

Your statement should explain your motivation for applying for the DPhil course at Oxford and the specific research areas that interest you and/or you intend to specialise in. It should focus on your academic achievements and research interests rather than personal achievements, interests and aspirations. You should also include details of any relevant experience in engaging in social data science related research.

Your statement should be written in English and be a maximum of 500 words.

If possible, please ensure that the word count is clearly displayed on the document.

Your statement will be assessed for:

• interest and commitment for the study of social data science;
• evidence of aptitude for working with data-driven research; and
• alignment of your areas of interest with the availability of supervision, as all students will be assigned a supervisor to guide their research.

Research proposal

A coherent thesis proposal is required in an area of study covered by at least one member of the research staff within the Social Data Science programme. Your proposal should focus on specific research you propose to undertake rather than personal achievements, interests and aspirations.

The proposal should be submitted in English only and be a maximum of 2,500 words. The word count does not need to include any bibliography or brief footnotes.

Your research proposal will be assessed for:

• the coherence of your proposal;
• the relevance of the topic as it relates to the research of the Oxford Internet Institute and collaborating department;
• the clarity of research question(s), and the knowledge gap the proposal intends to fill;
• the appropriateness of the methods and research design as related to the research question(s); and
• the overall quality of the project proposed.

It is normal for your ideas to change in some ways as you commence your research and develop your project. However, you should make the best effort you can to demonstrate the extent of your research question, sources and method at this moment.

Written work: One essay of a maximum of 2,000 words

An academic essay or other writing sample from your most recent qualification, written in English, is required. If you have not previously written on areas closely related to the proposed research topic, you may provide written work on any topic that best demonstrates your academic abilities. The written work does not need to be data science related, but should demonstrate your critical and analytical capabilities and ability to present ideas clearly. 

The word count does not need to include any bibliography or brief footnotes. Extracts of the required length that originally come from longer essays are also acceptable.

This will be assessed for:

• a comprehensive understanding of the subject area, including problems and developments in the subject;
• your ability to construct and defend an argument;
• your aptitude for analysis and expression; and
• your ability to present a reasoned case in proficient academic English.

Start or continue your application

You can start or return to an application using the relevant link below. As you complete the form, please  refer to the requirements above  and  consult our Application Guide for advice .

Application Guide   Apply - Full time Apply - Part time

ADMISSION STATUS

Closed to applications for entry in 2024-25

Register to be notified via email when the next application cycle opens (for entry in 2025-26)

12:00 midday UK time on:

Thursday 9 January 2025

Latest deadline for most Oxford scholarships Final application deadline for entry in 2025-26

*Three-year average (applications for entry in 2021-22 to 2023-24)

Further information and enquiries

This course is offered by the Oxford Internet Institute

• Course page on the institute's website
• Department open days
• Funding information from the institute
• Academic and research staff
• Research at the institute
• Social Sciences Division
• Residence requirements for full-time courses
• Postgraduate applicant privacy policy

Course-related enquiries

Advice about contacting the department can be found in the How to apply section of this page

✉ [email protected] ☎ +44 (0)1865 287210

Application-process enquiries

See the application guide

Other courses to consider

You may also wish to consider applying to other courses that are similar or related to this course:

View related courses

Visa eligibility for part-time study

We are unable to sponsor student visas for part-time study on this course. Part-time students may be able to attend on a visitor visa for short blocks of time only (and leave after each visit) and will need to remain based outside the UK.

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Are you a UK or International Student?

Top 5 for overall research quality (ref2021), key course details.

Course Overview

Entry Points: September, January, April, July

Our Population and Health Data Science PhD programme is available on a full-time or part-time basis, over 3 or 6 years. 

The growing pressures on healthcare systems globally are well documented, with chronic diseases, ageing populations and increased incidents of mental health. Advancements in medicine are improving health for more and more people, but inequalities in the healthcare received by people based on where they are born, live and work are prevalent.  Population health aims to address these inequalities, by working to better understand the healthcare needs of groups of people, improving healthcare models and providing innovative solutions to meet people’s health needs. Additionally, healthcare already has an established strong relationship with Information and Communication Technologies (ICT), and is continuously expanding the knowledge forefront as new methods of acquiring data concerning the health of human beings are developed.

Your programme will feature:

• Practice-focused learning
• Supervision team with nominated supervisors
• You will draw on skills from the broader academic community
• Programme seminars and workshops
• Access to Wales’ premier purpose-build medical research facility
• Collaboration with industry and business partners

During your course, you will benefit from our highly regarded specialist facilities. Our vision is to advance medical science through interdisciplinary research and innovation. We are a leading centre for medical research and a unique example of successful collaboration between NHS, academia and industry in the life science and health sector.

We have strong connections with a range of external partners and collaborators, including the NHS;  Swansea Bay University Health Board (SBUHB) ;  Hywel Dda University Health Board ; UK research council; Welsh Government and numerous national and international links. These connections, along with the skills and qualities you develop during your research degree will enhance your CV, and help you stand out in a highly competitive graduate employment market

Entry Requirements

Qualifications MPhil:  Applicants for MPhil must normally hold an undergraduate degree at 2.1 level (or Non-UK equivalent as defined by Swansea University). See -  Country-specific Information for European Applicants 2019  and  Country-specific Information for International Applicants 2019 .

PhD : Applicants for PhD must normally hold an undergraduate degree at 2.1 level and a master’s degree. Alternatively, applicants with a UK first class honours degree (or Non-UK equivalent as defined by Swansea University) not holding a master’s degree, will be considered on an individual basis. See -  Country-specific Information for European Applicants 2019  and  Country-specific Information for International Applicants 2019 . 

English Language IELTS 6.5 Overall (with no individual component below 6.5) or Swansea University recognised equivalent.  Full details of our English Language policy, including certificate time validity, can be found here.

As well as academic qualifications, Admissions decisions may be based on other factors, including (but not limited to): the standard of the research synopsis/proposal, performance at interview, intensity of competition for limited places, and relevant professional experience.

Reference Requirement

As standard, two references are required before we can progress applications to the College/School research programme Admissions Tutor for consideration.

Applications received without two references attached are placed on hold, pending receipt of the outstanding reference(s). Please note that any protracted delay in receiving the outstanding reference(s) may result in the need to defer your application to a later potential start point/entry month, than what you initially listed as your preferred start option.

You may wish to consider contacting your referee(s) to assist in the process of obtaining the outstanding reference(s) or alternatively, hold submission of application until references are sourced. Please note that it is not the responsibility of the University Admissions Office to obtain missing reference(s) after our initial email is sent to your nominated referee(s), requesting a reference(s) on your behalf.

The reference can take the form of a letter on official headed paper, or via the University’s standard reference form. Click this link to download the university reference form .

Alternatively, referees can email a reference from their employment email account, please note that references received via private email accounts, (i.e. Hotmail, Yahoo, Gmail) cannot be accepted.

References can be submitted to [email protected] .

How you are Supervised

You will be given a supervisory team made up of a primary supervisor and secondary supervisors. This team will provide both academic, and pastoral support whilst you complete your research.

Welsh Provision

Tuition fees.

Tuition fees for years of study after your first year are subject to an increase of 3%.

You can find further information of your fee costs on our tuition fees page .

You may be eligible for funding to help support your study. To find out about scholarships, bursaries and other funding opportunities that are available please visit the University's scholarships and bursaries page .

Current students: You can find further information of your fee costs on our tuition fees page .

Funding and Scholarships

You may be eligible for funding to help support your study.

Government funding is now available for Welsh, English and EU students starting eligible postgraduate research programmes at Swansea University. To find out more, please visit our postgraduate loans page.

To find out about scholarships, bursaries and other funding opportunities that are available please visit the University's scholarships and bursaries page.

Academi Hywel Teifi at Swansea University and the Coleg Cymraeg Cenedlaethol offer a number of generous scholarships and bursaries for students who wish to study through the medium of Welsh or bilingually. For further information about the opportunities available to you, visit the Academi Hywel Teifi Scholarships and Bursaries page.

Additional Costs

Access to your own digital device/the appropriate IT kit will be essential during your time studying at Swansea University. Access to wifi in your accommodation will also be essential to allow you to fully engage with your programme. See our dedicated webpages for further guidance on suitable devices to purchase, and for a full guide on getting your device set up .

You may face additional costs while at university, including (but not limited to):

• Travel to and from campus
• Printing, photocopying, binding, stationery and equipment costs (e.g. USB sticks)
• Purchase of books or texts
• Gowns for graduation ceremonies

How to Apply

Full details of the research degree application process are available  here , and you can  apply online and track your application status here . As part of your application please include a research proposal outlining your proposed topic of study.  Guidance on writing a research proposal is also available .

You can expect to be interviewed following your application to discuss your topic of research and to demonstrate the necessary level of commitment to your studies and training.

It is advisable that you contact us at  [email protected]   before submitting your application. This will ensure we can identify appropriate supervisors, and work with you to refine your proposal.

If you're an international student, find out more at our  international student web pages .

Suggested Application Timings

In order to allow sufficient time for consideration of your application by an academic, for potential offer conditions to be met and travel / relocation, we recommend that applications are made before the dates outlined below. Please note that applications can still be submitted outside of the suggested dates below but there is the potential that your application/potential offer may need to be moved to the next appropriate intake window.

October Enrolment

UK Applicants – 15th August

EU/International applicants – 15th July

January Enrolment

UK applicants – 15th November

EU/International applicants – 15th October

April Enrolment

UK applicants – 15th February

EU/International applicants – 15th January

July Enrolment

UK applicants – 15th May

EU/International applicants – 15th April

EU students - visa and immigration information is available and will be regularly updated on our information for EU students page.

Student News

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Fully Funded PhDs in Data Science, AI and Machine Learning

The University of Liverpool’s Centre for Doctoral training in Distributed Algorithms (CDT) are currently looking for students to join their fully funded PhDs in Data Science, AI and Machine Learning.

The team aim to develop 60 PhD students to meet the world’s pressing need for highly-trained data scientists and work with industry and government to help solve real-world problems.

Applicants come from a range of subjects and backgrounds, including:

• Computer Science
• Department of Civil Engineering and Industrial Design
• Earth, Ocean and Ecological Sciences
• Electrical Engineering and Electronics
• Geography and Planning
• Mathematical Sciences
• Mechanical and Aerospace Engineering

The fully funded PhD studentships are open to home and international students. You’ll be working as part of a cohort in a collaborative environment alongside other PhD students, postdoc researchers and data scientists. Other benefits include:

•  PhD projects co-defined and co-supervised with a project partner
•  Monthly tax-free payment of £1,338.50
•  Annual research grant
•  Placements in year 3
•  Long-term employment potential
•  Inclusive and supportive cohort environment
•  Technical, professional and personal training and development
•  Access to state-of-the-art high-performance computers

Interested?

The team would love to hear from you. Please do get in touch to find out more.

Email Kelli or Sara ( [email protected] ) if you have any questions.

They will also be at the Careers Studio on Friday 22 July between 11am – 1pm – drop-in to speak to the team, no appointment necessary.

Click here to find out more and apply

Further reading

• Click here to discover what our current students are working on and who with.
• Email one of our Student Ambassadors here and arrange a call with them.
• View our applicant information and guidance.
• Simon Maskell, CDT Director Bio
• Student Featured 2
• Careers and Employability
• CDT in Distributed Algorithms.
• Centre for Doctoral Training in Distributed Algorithms

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Cambridge centre for data-driven discovery, currently advertised phd studentships.

• The majority of current PhD studentships are listed on the  University's Jobs site
• For a full list of departments and faculties at the University, visit this page where you can learn more about the research interests within each department
• To find academics you might like to work with, use our directory

Graduate Admissions

The  Graduate Admissions  office provides a range of information on postgraduate programmes at Cambridge, along with a step-by-step guide to the application process. It is advisable to start researching funding opportunities at least a year before your course begins.

MPhil and PhD course relevant to data science - from across University of Cambridge

Please visit the relevant pages and contact the relevant education provider if you have queries. You should pay particular attention to the entry requirements and guidance for applicants there.

MPhil in Machine Learning and Machine Intelligence - an eleven month full-time programme offered by the Machine Learning Group, the Speech Group, and the Computer Vision and Robotics Group in the Cambridge University Department of Engineering.  The course aims to teach the state-of-the-art in machine learning, speech and language processing, and computer vision; to give students the skills and expertise necessary to take leading roles in industry and to equip them with the research skills necessary for doctoral study at Cambridge and other universities.

PhD programme in Advanced Machine Learning - The Machine Learning Group is based in the Department of Engineering, and encourages applications from outstanding candidates with academic backgrounds in Mathematics, Physics, Computer Science, Engineering and related fields, and a keen interest in doing basic research in machine learning and its scientific applications. 

Cambridge Centre for AI in Medicine - Cambridge Centre for AI in Medicine (CCAIM) is a multi-disciplinary centre established by the University of Cambridge in 2020 to develop pioneering AI machine learning (ML) technologies that will transform biomedical science, medicine and healthcare. PhD studentships are oten available, please check their website for details.

SynTech Centre for Doctoral Training - EPSRC Centre for Doctoral Training in Next Generation Synthetic Chemistry Enabled by Digital Molecular Technologies. An interdisciplinary cohort-driven programme to produce the next generation of molecule making scientists by combining Synthetic Chemistry, Chemical Engineering, Engineering, Machine Learning and Artificial Intelligence.

Advanced Computer Science MPhil  - The MPhil in Advanced Computer Science (the ACS) is designed to prepare students for doctoral research, whether at Cambridge or elsewhere. Typical applicants will have undertaken a first degree in computer science or an equivalent subject, and will be expected to be familiar with basic concepts and practices. The ACS is a nine–month course which starts in early October and finishes on 30 June. It covers advanced material in both theoretical and practical areas as well as instilling the elements of research practice.

Application of Artificial Intelligence to the study of Environmental Risks MRes and PhD - The UKRI Centre for Doctoral Training in the Application of Artificial Intelligence to the study of Environmental Risks (AI4ER) are no longer recruiting students for further intakes. 

Postgraduate Study in Mathematics - Various postgraduate courses of a mathematical nature are available at the University of Cambridge, including both taught courses and research degrees.

Mathematics of Information PhD  - This cutting-edge training Centre in the Mathematics of Information produces a new generation of leaders in the theory and practice of modern data science, with an emphasis on the mathematical underpinnings of this new scientific field. The Cambridge Mathematics of Information (CMI) PhD is a four-year course leading to a single PhD thesis.

Centre for Scientific Computing MPhil and PhD  - The MPhil programme on Scientific Computing is offered by the University of Cambridge as a full-time course which aims to provide education of the highest quality at Master’s level. A common route for admission into our PhD programme is via the Centre’s MPhil programme in Scientific Computing.

Part III Mathematics  - Part III is a 9 month taught masters course in mathematics.  It is an excellent preparation for mathematical research and it is also a valuable course in mathematics and in its applications for those who want further training before taking posts in industry, teaching, or research establishments. Students admitted from outside Cambridge to Part III study towards the Master of Advanced Study (MASt).  Students continuing from the Cambridge Tripos for a fourth year, study towards the Master of Mathematics (MMath).  The requirements and course structure for Part III are the same for all students irrespective of whether they are studying for the MASt or MMath degree. There are over 200 Part III (MASt and MMath) students each year; almost all are in their fourth or fifth year of university studies. 

School of Clinical Medicine Graduate Training Office - Prospective students interested in pursuing a graduate degree course in a subject area related to clinical medicine at the University of Cambridge should consult the School’s individual departmental websites for detailed information about the courses which they run and the University’s Graduate Admissions website for information on the application process and on funding opportunities.

Centre for Doctoral Training in Data, Risk And Environmental Analytical Methods  - The CDT embraces a wide range of world-leading Doctoral research in the area of Big Data and Environmental Risk Mitigation. The CDT research underway seeks to utilise emerging technologies, techniques and tools, to more accurately monitor the environment, enabling cutting edge research. To provide end-users with more integrated information at improved temporal and spatial resolutions to deliver solutions to environmental challenges (both acute and long- term). Funded by  NERC  (the Natural Environment Research Council, NERC Ref: NE/M009009/1), the DREAM (Data, Risk and Environmental Analytical Methods) consortium is made up of Cranfield, Newcastle, Cambridge and Birmingham universities.

Centre for Doctoral Training in Data Intensive Science  - The Cambridge CDT in Data Intensive Science is an innovative, interdisciplinary centre, distributed between the Department of Physics (Cavendish Laboratory), Department of Applied Mathematics and Theoretical Physics (DAMTP), Department of Pure Mathematics and Mathematical Statistics (DPMMS) and the Institute of Astronomy (IoA).

MPhil in Data Intensive Science - This course aims to take science graduates and to prepare them for data intensive research careers by providing advanced training in three key areas – Statistical Analysis, Machine Learning, and Research Computing – and their application to current research frontiers.

Cambridge Digital Humanities - The MPhil provides the opportunity to specialise in a chosen subject area as well as an advanced level introduction to DH approaches, methods and theory. The course provides critical and practical literacy, the chance to advance an extant specialization by re-contextualizing it in relation to advanced theoretical work, and the chance to develop as a DH scholar.

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

• Supports and connects the growing data science and AI research community 
• Builds research capacity in data science and AI to tackle complex issues 
• Drives new research challenges through collaborative research projects 
• Promotes and provides opportunities for knowledge transfer 
• Identifies and provides training courses for students, academics, industry and the third sector 
• Serves as a gateway for external organisations 

Statistical Science MPhil/PhD

London, Bloomsbury

An MPhil/PhD in Statistical Science obtained at UCL will equip you with the necessary research skills to thrive in the modern era of Big Data and Artificial Intelligence. Familiarity with state-of-the-art research methodology in a range of areas, including Statistical Modelling, Data Analysis and Computational Algorithms, places graduates of our programme at the forefront of a highly contemporary and dynamic field.

UK tuition fees (2024/25)

Overseas tuition fees (2024/25), programme starts, applications accepted.

• Entry requirements

A minimum of an upper second-class UK Bachelor's degree, or a UK Master's degree in statistics, mathematics, computer science or a related quantitative discipline. Overseas qualifications of an equivalent standard are also acceptable.

The English language level for this programme is: Level 1

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Further information can be found on our English language requirements page.

Equivalent qualifications

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website .

International applicants can find out the equivalent qualification for their country by selecting from the list below. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice.

About this degree

The demand for numerate graduates exceeds the supply in most areas. Many new and existing opportunities in industry, medicine, government, commerce, or research await science graduates who have supplemented their first degree with additional training in quantitative skills, such as those provided by the postgraduate programmes available within the Department of Statistical Science.

Who this course is for

This programme is best suited to those aiming for a research degree and/or an academic career in Statistics, Data Science and other related fields.

What this course will give you

While the department offers world-class expertise along with strong links to practitioners, its position within UCL provides a large breadth of research specialisations. Besides ties to other mathematical sciences, the department collaborates with researchers in a number of fields, including computer science, environmental science, engineering, management, finance, biology and medicine.

The opportunity to engage with leading researchers across disciplines while accessing London-based government and industry figures gives UCL students a distinct advantage.

More intangibly, by being in a truly multidisciplinary environment, UCL students gain an appreciation for knowledge and its societal impact. This leads not only to new insights but also to a readiness to critique the established order, which is both intellectually and personally fulfilling.

The foundation of your career

Destinations after graduation include Universities, the Healthcare Sector, Finance organisations, Consulting organisations, Commerce organisations.

Employability

Graduates of the PhD programme are well placed to continue as researchers in both academia and the private sector. In particular, greater data collection has created a demand for enhanced methodologies for analysis, which is a strength of most recent graduates.

The department has strong connections with several research organisations, for example the UCL Centre for Artificial Intelligence, the UCL Medical School and the Biomedical Research Centre, the Gatsby Computational Neuroscience Unit and the UCL Centre for Mathematics and Physics in the Life Sciences and Experimental Biology (CoMPLEX). The department contributes to the UCL Centre for Doctoral Training in Data Intensive Science, the UCL Centre for Doctoral Training in Foundational Artificial Intelligence and to the cross-institutional Health Data Research UK-Turing Wellcome PhD Programme in Health Data Science. The Department is a partner in the London NERC Doctoral Training Partnership. UCL was a founding member of the Alan Turing Institute for Data Science, and continues to play a major role in the Institute’s activities.  

Staff members also collaborate directly with hospitals, power companies, government regulators, the financial sector and several other organisations.

Consequently, research students have ample opportunity to engage with external institutions in order to frame their work.

Teaching and learning

There are no specific requirements in terms of courses to be attended during a PhD degree.

Students are initially registered for the MPhil degree. No sooner than nine months after registration, they are transferred to the PhD degree with retrospective effect if they show a capacity for original work. This will require the preparation of a substantial upgrade report describing the existing work in the area of investigation, giving details of the original work that they have performed so far, and setting out a plan for the remaining period of their research. It will also involve a viva.

The research degree programme is a self-directed programme under the supervision of academic experts. You should manage your time for research activities by discussing with your supervisor(s). You can arrange a regular meeting with your supervisor(s). The supervisor meetings usually take place once per week, depending on the status of your research.

Research areas and structure

The department’s methodological research is organised into six themes:

• Biostatistics
• Computational statistics
• Economics, finance and business
• General theory and methodology
• Multivariate and high dimensional data
• Stochastic modelling and time series

Research often cuts across these themes. For example, externally funded projects in the following application areas are in progress:

• Cognitive neuroscience
• Econometrics and finance
• Epidemology
• Environmetrics and hydrology
• Machine learning
• Population and systems biology
• Statistical imaging

Much of this work is interdisciplinary and involves collaborations within and outside UCL.

Research environment

The Department of Statistical Science has played a major role in the development of the subject since its foundation in 1911 as the first department of statistics in the world, with Karl Pearson as its head. Since then, many famous names in statistics have been associated with the department, including Egon Pearson, R. A. Fisher and Jerzy Neyman. Today the Department is among the three largest statistics groups in the UK with more than 40 academic members of staff. .

We carry out research across a wide range of theoretical and applied areas. The main areas of interest are organised into six themes: Biostatistics; Computational statistics; Economics, finance and business; Environmental statistics; General theory and methodology; and Multivariate and high dimensional data. In addition, there are organised research groups in the areas of Probability, Methodology for Weather and Climate and Statistics for Health Economic Evaluation. In the last Research Excellence Framework exercise (2021/22), over 97% of our research output was classified as “worldleading” or “internationally excellent” in terms of originality, significance and rigour.

The department has strong connections with several research organisations, such as the UCL Centre for Artificial Intelligence, the UCL Medical School and the Biomedical Research Centre, the Gatsby Computational Neuroscience Unit and the UCL Centre for Mathematics and Physics in the Life Sciences and Experimental Biology (CoMPLEX). The department contributes to the UCL Centre for Doctoral Training in Data Intensive Science, the UCL Centre for Doctoral Training in Foundational Artificial Intelligence and to the cross-institutional Health Data Research UK-Turing Wellcome PhD Programme in Health Data Science. The Department is a partner in the London NERC Doctoral Training Partnership.

UCL was a founding member of the Alan Turing Institute for Data Science, and continues to play a major role in the Institute’s activities.

Staff members also collaborate directly with hospitals, power companies, government regulators, the financial sector and several other organisations. 

You are initially registered for the MPhil degree. No sooner than nine months after registration, you are transferred to the PhD degree with retrospective effect if you show a capacity for original work. This will require the preparation of a substantial upgrade report describing the existing work in the area of investigation, giving details of the original work that you have performed so far, and setting out a plan for the remaining period of your research. It will also involve a viva.

The typical length of the PhD programme is three years for full-time students and five years for part-time students; an MPhil is expected to be achieved in a shorter period. If you are not ready to submit at the end of the third year, you may be able to register as a completing research student (CRS) while you write up your thesis.

The MPhil/PhD has no required curriculum. However, you are expected to agree on a customised programme of study with your supervisor, which may involve specialisation courses (either at UCL or externally, for example, at the London Taught Course Centre or Academy for PhD Training in Statistics) or independent reading. Attendance at research seminars is encouraged, and after you have been upgraded to PhD status you are required to present your research in a seminar stream dedicated to this purpose. Finally, the UCL Doctoral School has its own requirements for training courses. For instance, you are required to attend Research Integrity Training.

The typical length of the PhD programme is three years for full-time students and five years for part-time students; an MPhil is expected to be achieved in a shorter period. If you are not ready to submit at the end of the third year, you may be able to register as a completing research student (CRS) while you write up your thesis.

Accessibility

Details of the accessibility of UCL buildings can be obtained from AccessAble accessable.co.uk . Further information can also be obtained from the UCL Student Support and Wellbeing team .

Fees and funding

Fees for this course.

The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Where the programme is offered on a flexible/modular basis, fees are charged pro-rata to the appropriate full-time Master's fee taken in an academic session. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website: ucl.ac.uk/students/fees .

Additional costs

T here are no programme-specific costs.

For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs .

Funding your studies

Research Council funding may be available for UK and Overseas nationals. Other funding opportunities may also be available. For details visit www.ucl.ac.uk/statistics/prospective-postgraduates/studentships

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website .

CSC-UCL Joint Research Scholarship

Value: Fees, maintenance and travel (Duration of programme) Criteria Based on academic merit Eligibility: EU, Overseas

Deadlines and start dates are usually dictated by funding arrangements so check with the department or academic unit to see if you need to consider these in your application preparation. In most cases you should identify and contact potential supervisors before making your application. For more information see our How to apply page.

Please note that you may submit applications for a maximum of two graduate programmes (or one application for the Law LLM) in any application cycle.

Choose your programme

Please read the Application Guidance before proceeding with your application.

Year of entry: 2024-2025

Got questions get in touch.

Statistical Science

[email protected]

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Find a programme

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Disability Studies

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Earth Sciences

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East Asian Studies

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Electrical and Electronic Engineering

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Engineering Biology

Engineering mathematics.

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Find out about the University of Bristol's PhD in French, including entry requirements, supervisors and research groups.

Geographical Sciences (Human Geography)

Find out about the University of Bristol's PhD in Geographical Sciences (Human Geography), including entry requirements, supervisors and research groups.

Geographical Sciences (Physical Geography)

Find out about the University of Bristol's PhD in Geographical Sciences (Physical Geography), including entry requirements, supervisors and research groups.

Find out about the University of Bristol's PhD in German, including entry requirements, supervisors and research groups.

Global Challenges and Transformations

Find out about the University of Bristol's PhD in Global Challenges and Transformations, including entry requirements, supervisors and research groups.

Great Western Four+ Doctoral Training Partnership (NERC)

Find out about the Great Western Four+ Doctoral Training Partnership, a multidisciplinary training environment for postgraduate students in NERC sciences.

Health and Wellbeing

Find out about the University of Bristol's PhD in Health and Wellbeing, including entry requirements, supervisors and research groups.

Hispanic, Portuguese and Latin American Studies

Find out about the University of Bristol's PhD in Hispanic, Portuguese and Latin American Studies, including supervisors and research groups.

Find out about the University of Bristol's PhD in History, including entry requirements, supervisors and research groups.

History of Art

Find out about the University of Bristol's PhD in History of Art, including entry requirements, supervisors and research groups.

Innovation and Entrepreneurship

Find out about the University of Bristol's PhD in Innovation and Entrepreneurship, including entry requirements, supervisors and research groups.

Integrative Cardiovascular Science (BHF)

Find out about the University of Bristol's PhD in Integrative Cardiovascular Science (BHF), including entry requirements, funding and structure.

Find out about the University of Bristol's PhD in Italian, including entry requirements, structure and research groups.

Find out about the University of Bristol's PhD in Law, including entry requirements, structure and research groups.

Linguistics

Llm law - banking and finance law.

Find out about the University of Bristol's LLM in Banking and Finance Law, including structure, entry requirements and career prospects.

LLM Law - Commercial Law

Find out about the University of Bristol's LLM in Commercial Law, including structure, entry requirements and career prospects.

LLM Law - Company Law and Corporate Governance

Find out about the University of Bristol's LLM in Company Law and Corporate Governance, including structure, entry requirements and career prospects.

LLM Law - Employment, Work and Equality

Find out about the University of Bristol's LLM in Employment, Work and Equality Law, including structure, entry requirements and career prospects.

LLM Law - General Legal Studies

Find out about the University of Bristol's LLM in General Legal Studies, including structure, entry requirements and career prospects.

LLM Law - Health, Law and Society

Find out about the University of Bristol's LLM in Health, Law and Society, including structure, entry requirements and career prospects.

LLM Law - Human Rights Law

Find out about the University of Bristol's LLM in Human Rights Law, including structure, entry requirements and career prospects.

LLM Law - International Commercial Law

Find out about the University of Bristol's LLM in International Commercial Law, including structure, entry requirements and career prospects.

LLM Law - International Law

Find out about the University of Bristol's LLM in International Law, including structure, entry requirements and career prospects.

LLM Law - International Law and International Relations

Find out about the University of Bristol's LLM in International Law and International Relations, including structure, entry requirements and career prospects.

LLM Law, Environment, Sustainability & Business

Find out about the University of Bristol's LLM in Law, Environment, Sustainability and Business, including structure, entry requirements and career prospects.

LLM Law, Innovation & Technology

Find out about the University of Bristol's LLM in Law, Innovation and Technology, including structure, entry requirements and career prospects.

MA Anthropology

Find out about the University of Bristol's MA in Anthropology, including structure, entry requirements and career prospects.

MA Black Humanities

Ma chinese-english audiovisual translation.

Find out about the University of Bristol's MA in Chinese-English Audiovisual Translation, including structure, entry requirements and career prospects.

MA Chinese-English Translation

Find out about the University of Bristol's MA in Chinese-English Translation, including structure, entry requirements and career prospects.

MA Comparative Literatures and Cultures

Find out about the University of Bristol's MA in Comparative Literatures and Cultures, including structure, entry requirements and career prospects.

MA Composition of Music for Film and Television

Find out about the University of Bristol's MA in Composition of Music for Film and Television, including structure, entry requirements and career prospects.

MA Creative Innovation and Entrepreneurship

Find out about the University of Bristol's MA in Creative Innovation and Entrepreneurship, including structure, entry requirements and career prospects.

MA Creative Writing

Find out about the University of Bristol's MA in Creative Writing, including structure, entry requirements and career prospects.

MA English Literature

Find out about the University of Bristol's MA in English Literature, including structure, entry requirements and career prospects.

MA Environmental Humanities

Find out about the University of Bristol's MA in Environmental Humanities, including structure, entry requirements and career prospects.

MA Film and Television

Find out about the University of Bristol's MA in Film and Television, including structure, entry requirements and career prospects.

Find out about the University of Bristol's MA in History, including structure, entry requirements and career prospects.

MA History of Art

Find out about the University of Bristol's MA in History of Art, including structure, entry requirements and career prospects.

MA Immersive Arts (Virtual and Augmented Reality)

Find out about the University of Bristol's MSc, PGCert and PGDip in Immersive Arts (Virtual and Augmented Reality) including structure and career prospects.

Find out about the University of Bristol's MA in Law, including structure, entry requirements and career prospects.

MA Medieval Studies

Find out about the University of Bristol's MA in Medieval Studies, including structure, entry requirements and career prospects.

Find out about the University of Bristol's MA in Music, including structure, entry requirements and career prospects.

MA Philosophy

Ma translation (online).

Find out about the University of Bristol's PhD in Management, including entry requirements, structure and research groups.

Mathematics

Find out about the University of Bristol's PhD in Mathematics, including entry requirements, structure and research groups.

Mechanical Engineering

Find out about the University of Bristol's PhD in Mechanical Engineering, including entry requirements, supervisors and research groups.

Medieval Studies

Find out about the University of Bristol's PhD in Medieval Studies, including entry requirements, supervisors and research groups.

Molecular, Genetic and Lifecourse Epidemiology (Wellcome)

Find out about the University of Bristol's PhD in Molecular, Genetic and Lifecourse Epidemiology, fully funded by the Wellcome Trust for UK students.

MRes Advanced Quantitative Methods

Find out about the University of Bristol's MRes in Advanced Quantitative Methods, including structure, entry requirements and career prospects.

MRes Economics

Find out about the University of Bristol's MRes in Economics, including structure, entry requirements and career prospects.

MRes Education

Find out about the University of Bristol's MRes in Education, including structure, entry requirements and career prospects.

MRes Health Sciences Research

Find out about the University of Bristol's MRes in Health Sciences Research, including structure, entry requirements and career prospects.

MRes Sustainable Futures

Find out about the University of Bristol's MRes in Sustainable Futures, including structure, entry requirements and career prospects.

MSc Accounting and Finance

Find out about the University of Bristol's MSc in Accounting and Finance, including structure, entry requirements and career prospects.

MSc Accounting, Finance and Management

Find out about the University of Bristol's MSc in Accounting, Finance and Management, including structure, entry requirements and career prospects.

MSc Advanced Composites

Find out about the University of Bristol's MSc in Advanced Composites, including structure, entry requirements and career prospects.

MSc Advanced Microelectronic Systems Engineering

Find out about the University of Bristol's MSc in Advanced Microelectronic Systems Engineering, including structure, entry requirements and career prospects.

MSc Aerial Robotics

Find out about the University of Bristol's MSc in Aerial Robotics, including structure, entry requirements and career prospects.

MSc Applied Neuropsychology

Find out about the University of Bristol's MSc in Applied Neuropsychology, including structure, entry requirements and career prospects.

MSc Applied Neuropsychology (Online)

Msc banking, regulation and financial stability.

Find out about the University of Bristol's MSc in Banking, Regulation and Financial Stability, including structure, entry requirements and career prospects.

MSc Bioinformatics

Find out about the University of Bristol's MSc in Bioinformatics, including structure, entry requirements and career prospects.

MSc Biomedical Sciences Research

Find out about the University of Bristol's MSc in Biomedical Sciences Research, including structure, entry requirements and career prospects.

MSc Biorobotics

Find out about the University of Bristol's MSc in Biorobotics, including structure, entry requirements and career prospects.

MSc Business Analytics

Find out about the University of Bristol's MSc in Business Analytics, including structure, entry requirements and career prospects.

MSc Business Innovation and Entrepreneurship

Find out about the University of Bristol's MSc in Innovation and Entrepreneurship, including structure, entry requirements and career prospects.

MSc by research Global Environmental Challenges

Find out about the University of Bristol's MSc by research Global Environmental Challenges, including structure, entry requirements and career prospects.

MSc Cardiovascular Perfusion (Online)

Msc climate change science and policy.

Find out about the University of Bristol's MSc in Climate Change Science and Policy, including structure, entry requirements and career prospects.

MSc Clinical Neuropsychology

Find out about the University of Bristol's MSc in Clinical Neuropsychology, including structure, entry requirements and career prospects.

MSc Clinical Perfusion Science

Msc clinical research methods and evidence-based medicine, msc communication networks and signal processing.

Find out about the University of Bristol's MSc in Communication Networks and Signal Processing, including structure, entry requirements and career prospects.

MSc Computer Science (Conversion)

Find out about the University of Bristol's MSc conversion programme in Computer Science, including structure, entry requirements and career prospects.

MSc Contemporary Identities

Find out about the University of Bristol's MSc in Contemporary Identities, including structure, entry requirements and career prospects.

MSc Cyber Security (Infrastructures Security)

Find out about the University of Bristol's MSc in Cyber Security (Infrastructures Security), including structure, entry requirements and career prospects.

MSc Data Science

Find out about the University of Bristol's MSc in Data Science, including structure, entry requirements and career prospects.

MSc Data Science (Online)

Msc dental implantology.

Find out about the University of Bristol's MSc in Dental Implantology, including structure, entry requirements and career prospects.

MSc Development and Security

Find out about the University of Bristol's MSc in Development and Security, including structure, entry requirements and career prospects.

MSc Digital Health

Find out about the University of Bristol's MSc in Digital Health, including structure, entry requirements and career prospects.

MSc Earthquake Engineering and Infrastructure Resilience

Find out about the University of Bristol's MSc in Earthquake Engineering and Infrastructure Resilience, including structure and career prospects.

MSc East Asian Development and the Global Economy

Find out about the University of Bristol's MSc in East Asian Development and the Global Economy, including structure and career prospects.

MSc Economics

Find out about the University of Bristol's MSc in Economics, including structure, entry requirements and career prospects.

MSc Economics and Finance

Find out about the University of Bristol's MSc in Economics and Finance, including structure, entry requirements and career prospects.

MSc Economics with Data Science

Find out about the University of Bristol's MSc in Economics with Data Science, including structure, entry requirements and career prospects.

MSc Economics, Finance and Management

Find out about the University of Bristol's MSc in Economics, Finance and Management including structure, entry requirements and career prospects.

MSc Education (Education and Climate Change)

Find out about the University of Bristol's MSc in Education (Education and Climate Change), including structure, entry requirements and career prospects.

MSc Education (Inclusive Education)

Find out about the University of Bristol's MSc in Education (Inclusive Education), including structure, entry requirements and career prospects.

MSc Education (Leadership and Policy)

Find out about the University of Bristol's MSc in Education (Leadership and Policy), including structure, entry requirements and career prospects.

MSc Education (Learning, Technology and Society)

Find out about the University of Bristol's MSc in Education (Learning, Technology and Society), including structure, entry requirements and career prospects.

MSc Education (Mathematics Education)

Find out about the University of Bristol's MSc in Education (Mathematics Education), including structure, entry requirements and career prospects.

MSc Education (Neuroscience and Education)

Find out about the University of Bristol's MSc in Education (Neuroscience and Education), including structure, entry requirements and career prospects.

MSc Education (Open Pathway)

Find out about the University of Bristol's MSc in Education (Open Pathway), including structure, entry requirements and career prospects.

MSc Education (Policy and International Development)

Find out about the University of Bristol's MSc in Education (Policy and International Development) including structure, entry requirements and career prospects.

MSc Education (Teaching and Learning)

Msc engineering mathematics.

Find out about the University of Bristol's MSc in Engineering Mathematics, including structure, entry requirements and career prospects.

MSc Engineering with Management

Find out about the University of Bristol's MSc in Engineering with Management, including structure, entry requirements and career prospects.

MSc Environmental Analytical Chemistry

Msc environmental modelling and data analysis.

Find out about the University of Bristol's MSc in Environmental Modelling and Data Analysis, including structure, entry requirements and career prospects.

MSc Environmental Policy and Management

Find out about the University of Bristol's MSc in Environmental Policy and Management, including structure, entry requirements and career prospects.

MSc Epidemiology

Find out about the University of Bristol's MSc in Epidemiology, including structure, entry requirements and career prospects.

MSc Finance and Investment

Find out about the University of Bristol's MSc in Finance and Investment, including structure, entry requirements and career prospects.

MSc Financial Technology

Find out about the University of Bristol's MSc in Financial Technology, including structure, entry requirements and career prospects.

MSc Financial Technology with Data Science

Find out about the University of Bristol's MSc in Financial Technology with Data Science, including structure, entry requirements and career prospects.

MSc Gender and International Relations

Find out about the University of Bristol's MSc in Gender and International Relations, including structure, entry requirements and career prospects.

MSc Geographic Data Science and Spatial Analytics

Find out about the University of Bristol's MSc in Geographic Data Science and Spatial Analytics, including structure, entry requirements and career prospects.

MSc Global Development and Environment

Find out about the University of Bristol's MSc in Global Development and Environment, including structure, entry requirements and career prospects.

MSc Global Operations and Supply Chain Management

Find out about the University of Bristol's MSc in Global Operations and Supply Chain Management, including structure, entry requirements and career prospects.

MSc Global Wildlife Health and Conservation

Find out about the University of Bristol's MSc in Global Wildlife Health and Conservation, including structure, entry requirements and career prospects.

MSc Health Economics and Health Policy Analysis

Find out about the University of Bristol's MSc in Health Economics and Health Policy Analysis, including structure, entry requirements and career prospects.

MSc Health Professions Education

Msc health professions education (online), msc healthcare management (online), msc human geography: society and space.

Find out about the University of Bristol's MSc in Human Geography: Society and Space, including structure, entry requirements and career prospects.

MSc Human Resource Management and the Future of Work

Find out about the University of Bristol's MSc in Human Resource Management and the Future of Work, including structure and career prospects.

MSc Human-Computer Interaction (Online)

Msc image and video communications and signal processing.

Find out about the University of Bristol's MSc in Image and Video Communications and Signal Processing, including structure and career prospects.

MSc Immersive Technologies (Virtual and Augmented Reality)

Find out about the University of Bristol's MSc in Immersive Technologies (Virtual and Augmented Reality), including structure and career prospects.

MSc Innovation and Entrepreneurship

Msc international business and strategy: global challenges.

Find out about the University of Bristol's MSc in International Business and Strategy: Global Challenges), including structure and career prospects.

MSc International Development

Find out about the University of Bristol's MSc in International Development, including structure, entry requirements and career prospects.

MSc International Relations

Find out about the University of Bristol's MSc in International Relations, including structure, entry requirements and career prospects.

MSc International Security

Find out about the University of Bristol's MSc in International Security, including structure, entry requirements and career prospects.

MSc Management

Find out about the University of Bristol's MSc in Management, including structure, entry requirements and career prospects.

MSc Management (CSR and Sustainability)

Find out about the University of Bristol's MSc in Management (CSR and Sustainability), including structure, entry requirements and career prospects.

MSc Management (Digitalisation and Big Data)

Find out about the University of Bristol's MSc in Management (Digitalisation and Big Data), including structure, entry requirements and career prospects.

MSc Management (Entrepreneurship and Innovation)

Find out about the University of Bristol's MSc in Management (Entrepreneurship and Innovation), including structure, entry requirements and career prospects.

MSc Management (International Business)

Find out about the University of Bristol's MSc in Management (International Business), including structure, entry requirements and career prospects.

MSc Management (International Human Resource Management)

Find out about the University of Bristol's MSc in Management (International Human Resource Management), including structure and career prospects.

MSc Management (Marketing)

Find out about the University of Bristol's MSc in Management (Marketing), including structure, entry requirements and career prospects.

MSc Management (Project Management)

Find out about the University of Bristol's MSc in Management (Project Management), including structure, entry requirements and career prospects.

MSc Marketing

Find out about the University of Bristol's MSc in Marketing, including structure, entry requirements and career prospects.

MSc Mathematical Sciences

Find out about the University of Bristol's MSc in Mathematical Sciences, including structure, entry requirements and career prospects.

MSc Medical Statistics and Health Data Science

Find out about the University of Bristol's MSc in Medical Statistics and Health Data Science, including structure, entry requirements and career prospects.

MSc Molecular Neuroscience

Find out about the University of Bristol's MSc in Molecular Neuroscience, including structure, entry requirements and career prospects.

MSc Nuclear Science and Engineering

Find out about the University of Bristol's MSc in Nuclear Science and Engineering, including structure, entry requirements and career prospects.

MSc Nutrition, Physical Activity and Public Health

Find out about the University of Bristol's MSc in Nutrition, Physical Activity and Public Health, including structure, entry requirements and career prospects.

MSc Optical Communications and Signal Processing

Find out about the University of Bristol's MSc in Optical Communications and Signal Processing, including structure, entry requirements and career prospects.

MSc Optoelectronic and Quantum Technologies

Find out about the University of Bristol's MSc in Optoelectronic and Quantum Technologies, including structure, entry requirements and career prospects.

MSc Oral Medicine

Find out about the University of Bristol's MSc in Oral Medicine, including structure, entry requirements and career prospects.

MSc Palaeobiology

Find out about the University of Bristol's MSc in Palaeobiology, including structure, entry requirements and career prospects.

MSc Periodontology

Find out about the University of Bristol's MSc and Postgraduate Certificate in Perfusion Science, including structure, entry requirements and career prospects.

MSc Policy Research

Find out about the University of Bristol's MSc in Policy Research, including structure, entry requirements and career prospects.

MSc Psychology (Conversion)

Msc psychology of education bps.

Find out about the University of Bristol's MSc conversion programme in Psychology of Education, accreddiated by the British Psychological Society,

MSc Public Health

Find out about the University of Bristol's MSc in Public Health, including structure, entry requirements and career prospects.

MSc Public Policy

Find out about the University of Bristol's MSc in Public Policy, including structure, entry requirements and career prospects.

MSc Reproduction and Development

Find out about the University of Bristol's MSc, PGCert and PGDip in Reproduction and Development, including structure, entry requirements and career prospects.

MSc Robotics

Find out about the University of Bristol's MSc in Robotics, including structure, entry requirements and career prospects.

MSc Science Communication for a Better Planet

Find out about the University of Bristol's MSc in Science Communication for a Better Planet, including structure, entry requirements and career prospects.

MSc Scientific Computing with Data Science

Find out about the University of Bristol's MSc in Scientific Computing with Data Science, including structure, entry requirements and career prospects.

MSc Social and Cultural Theory

Find out about the University of Bristol's MSc in Social and Cultural Theory, including structure, entry requirements and career prospects.

MSc Social Innovation and Entrepreneurship

Find out about the University of Bristol's MSc in Social Innovation and Entrepreneurship, including structure, entry requirements and career prospects.

MSc Social Science Research Methods (Management)

Find out about the University of Bristol's MSc in Social Science Research Methods (Management), including structure, entry requirements and career prospects.

MSc Social Science Research Methods (Politics)

Find out about the University of Bristol's MSc in Social Science Research Methods (Politics), including structure, entry requirements and career prospects.

MSc Social Science Research Methods (Sociology)

Find out about the University of Bristol's MSc in Social Science Research Methods (Sociology), including structure, entry requirements and career prospects.

MSc Social Work

Find out about the University of Bristol's MSc in Social Work, including structure, entry requirements and career prospects.

MSc Social Work Research

Find out about the University of Bristol's MSc in Social Work Research, including structure, entry requirements and career prospects.

MSc Society, Politics and Climate Change

Find out about the University of Bristol's MSc in Society, Politics and Climate Change, including structure, entry requirements and career prospects.

MSc Socio-Legal Studies

Find out about the University of Bristol's MSc in Socio-Legal Studies, including structure, entry requirements and career prospects.

MSc Sociology

Find out about the University of Bristol's MSc in Sociology, including structure, entry requirements and career prospects.

MSc Stem Cells and Regeneration (Online)

Msc strategy, change and leadership.

Find out about the University of Bristol's MSc and PGCert in Strategy, Change and Leadership, including structure, entry requirements and career prospects.

MSc Sustainable Engineering

Msc teaching english to speakers of other languages (tesol).

Find out about the University of Bristol's MSc in Teaching English to Speakers of Other Languages, including structure, entry requirements and career prospects.

MSc Technology Innovation and Entrepreneurship

Find out about the University of Bristol's MSc in Technology Innovation and Entrepreneurship, including structure, entry requirements and career prospects.

MSc Translational Cardiovascular Medicine

Find out about the University of Bristol's MSc, PGCert and PGDip in Translational Cardiovascular Medicine, including structure and entry requirements.

MSc Translational Cardiovascular Medicine (Online)

Msc water and environmental management.

Find out about the University of Bristol's MSc in Water and Environmental Management, including structure, entry requirements and career prospects.

MSc Wireless Communications and Signal Processing

Find out about the University of Bristol's MSc in Wireless Communications and Signal Processing, including structure, entry requirements and career prospects.

Find out about the University of Bristol's PhD in Music, including entry requirements, supervisors and research groups.

Oral and Dental Sciences

Find out about the University of Bristol's PhD in Oral and Dental Sciences, including entry requirements, supervisors and research groups.

PG Certificate (Postgraduate Certificate) Clinical Neuropsychology Practice

Find out about the University of Bristol's Postgraduate Certificate in Clinical Neuropsychology Practice, including structure and career prospects.

PG Certificate (Postgraduate Certificate) Clinical Oral Surgery

Find out about the University of Bristol's Postgraduate Certificate in Clinical Oral Surgery, including structure, entry requirements and career prospects.

PG Certificate (Postgraduate Certificate) Clinical Perfusion Science

Pg certificate (postgraduate certificate) healthcare improvement (online), pg diploma (postgraduate diploma) applied neuropsychology, pg diploma (postgraduate diploma) applied neuropsychology (online), pg diploma (postgraduate diploma) clinical neuropsychology.

Find out about the University of Bristol's Postgraduate Diploma in Clinical Neuropsychology, including structure, entry requirements and career prospects.

PG Diploma (Postgraduate Diploma) Orthodontic Therapy

Pg diploma (postgraduate diploma) theoretical and practical clinical neuropsychology.

Find out about the University of Bristol's PG Diploma in Theoretical and Practical Clinical Neuropsychology, including structure and entry requirements.

PGCE Education (Secondary)

Find out about the University of Bristol's PGCE in Education (Secondary) including structure, entry requirements and career prospects.

Find out about the University of Bristol's PhD in Philosophy, including entry requirements, supervisors and research groups.

Find out about the University of Bristol's PhD in Physics, including entry requirements, supervisors and research groups.

Physiology, Pharmacology and Neuroscience

Find out about the University of Bristol's PhD in Physiology, Pharmacology and Neuroscience, including entry requirements, supervisors and research groups.

Find out about the University of Bristol's PhD in Politics, including key themes and entry requirements.

Population Health Sciences

Find out about the University of Bristol's PhD in Population Health Sciences, including entry requirements, career prospects and research groups.

Practice-Oriented Artificial Intelligence

Quantum information science and technologies, religion and theology.

Find out about the University of Bristol's PhD in Religion and Theology, including structure, entry requirements and supervisors.

Find out about the University of Bristol's PhD in Russian, including entry requirements, supervisors and research groups.

Social Policy

Find out about the University of Bristol's PhD in Social Policy, including entry requirements, supervisors and research groups.

Social Work

Find out about the University of Bristol's PhD in Social Work, including entry requirements, supervisors and research groups.

Find out about the University of Bristol's PhD in Sociology, including entry requirements, supervisors and research groups.

Sociotechnical Futures and Digital Methods

Find out about the University of Bristol's PhD in Sociotechnical Futures and Digital Methods, including entry requirements, supervisors and research groups.

South West Biosciences Doctoral Training Partnership (BBSRC)

Find out about the University of Bristol's South West Biosciences Doctoral Training Partnership, including structure and entry requirements.

Sustainable Futures

Find out about the University of Bristol's PhD in Sustainable Futures, including entry requirements, supervisors and research groups.

Technology Enhanced Chemical Synthesis

Find out about the University of Bristol's PhD in Technology Enhanced Chemical Synthesis, including entry requirements, supervisors and research groups.

Theatre and Performance

Find out about the University of Bristol's PhD in Theatre and Performance, including entry requirements, supervisors and research groups.

Translation

Find out about the University of Bristol's PhD in Translation, including entry requirements, supervisors and research groups.

Translational Health Sciences

Find out about the University of Bristol's PhD in Translational Health Sciences, including entry requirements, supervisors and research groups.

Veterinary Sciences

Find out about the University of Bristol's PhD in Veterinary Sciences, including entry requirements, research groups and career prospects.

We have 13 Data Analysis (fully funded PhD for international students) PhD Projects, Programmes & Scholarships in the UK

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Data Analysis (fully funded PhD for international students) PhD Projects, Programmes & Scholarships in the UK

Gw4biomed2 mrc dtp phd studentship - neonatal sepsis detection automation for neonatal intensive care units, phd research project.

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

Competition Funded PhD Project (Students Worldwide)

This project is in competition for funding with other projects. Usually the project which receives the best applicant will be successful. Unsuccessful projects may still go ahead as self-funded opportunities. Applications for the project are welcome from all suitably qualified candidates, but potential funding may be restricted to a limited set of nationalities. You should check the project and department details for more information.

EPSRC DTP studentship: The Beat Goes On: developing ultra-fast MRI techniques to measure pulsatile blood flow and arterial stiffness in the brain

Ukri cdt in ai for biomedical innovation, funded phd programme (students worldwide).

Some or all of the PhD opportunities in this programme have funding attached. Applications for this programme are welcome from suitably qualified candidates worldwide. Funding may only be available to a limited set of nationalities and you should read the full programme details for further information.

UKRI Centre for Doctoral Training

UKRI Centres for Doctoral Training conduct research and training in priority topics related to Artificial Intelligence. They are funded by the UK Government through UK Research and Innovation. Students may receive additional training and development opportunities as part of their programme.

Fully funded EPSRC Centre for Doctoral Training (CDT) in Cyber Security

Funded phd programme (uk students only).

Some or all of the PhD opportunities in this programme have funding attached. It is only available to UK citizens or those who have been resident in the UK for a period of 3 years or more. Some projects, which are funded by charities or by the universities themselves may have more stringent restrictions.

EPSRC Centre for Doctoral Training

EPSRC Centres for Doctoral Training conduct research and training in priority areas funded by the UK Engineering and Physical Sciences Research Council. Potential PhD topics are usually defined in advance. Students may receive additional training and development opportunities as part of their programme.

Optimising Air Source Heat Pump Placement to Minimise Community Noise and Vibration Impact

Funded phd project (uk students only).

This research project has funding attached. It is only available to UK citizens or those who have been resident in the UK for a period of 3 years or more. Some projects, which are funded by charities or by the universities themselves may have more stringent restrictions.

Generative AI in Energy Forecasting

Self-funded phd students only.

This project does not have funding attached. You will need to have your own means of paying fees and living costs and / or seek separate funding from student finance, charities or trusts.

Analysis of pathogen determinants recognized by the hypervariable immune receptor Dscam

Full exploitation of amyloid pet-mr data for dementia research, probable futures – probabilistic systems in law enforcement futures (reference: rdf24/ee/cis/montague, funded phd project (students worldwide).

This project has funding attached, subject to eligibility criteria. Applications for the project are welcome from all suitably qualified candidates, but its funding may be restricted to a limited set of nationalities. You should check the project and department details for more information.

PROBabLE Futures – Probabilistic Systems in Law Enforcement Futures (Reference: RDF24/BL/LAW/OSWALD)

Investigation into the impact of material properties on the gas transport behaviour of polyolefin materials, probing the star-forming ism with fine structure lines.

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Filtering Results

Statistics and Data Science MSc

1 year, starting in september 2025.

Develop a strong foundation in the theory and practice of data science and specialist skills in statistics ready for a career in industry.

Data science is vital to the global economy and scientific progress across numerous fields from bioscience, to energy and telecommunications. We'll provide you with the practical tools and mathematical foundations to standout to industry experts.

Who is this course for?

This course is designed for graduates in highly numerate disciplines who would like to build on a foundational knowledge of statistics and develop skills in machine learning and data science. It provides training in programming, machine learning and applied statistics that will give you the skills and knowledge to challenge real-world data using more advanced analytical techniques.

Course highlights

• Learn strong statistical foundations of universal relevance.
• Gain expertise in statistical and probabilistic modelling, including the design, collection, analysis and presentation of data.
• Study the mathematical theory and practical implementation of modern data science and machine learning techniques.
• Undertake an optional 12-month placement with a company or public sector body to improve your employability.
• Be part of our supportive postgraduate community .
• Live and study in a beautiful world heritage city .

Summer Research Project

The research expertise in the department allows for a wide-range of subjects for your final project at the end of the course. Recent examples include:

• Deep learning in high frequency financial trading
• Spatiotemporal timing prediction for public transport
• Wastewater-based epidemiology

Career prospects

After graduating, you'll be well placed for a variety of careers in data science - from large-scale commercial enterprises, to innovative tech start-ups. Alongside the specialist skills and knowledge you'll gain, our dedicated careers team offers individual guidance and help you decide between employment and further study.

Recent graduate roles include data scientists and machine learning developers.

Find out more on maximising your employability while at Bath .

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• Department of Computer Science
• Postgraduate study at Bath

2024/25 Academic Year

Before you apply for a course, please check the website for the most recently published course detail. If you apply to the University of Bath, you will be advised of any significant changes to the advertised programme, in accordance with our Terms and Conditions.

We understand that you will want to know more about the shape of the academic year. We work hard and plan for different scenarios, to be able to welcome you to the University of Bath at the start of each semester.

• Course structure

Occasionally we make changes to our programmes in response to, for example, feedback from students, developments in research and the field of studies, and the requirements of accrediting bodies. You will be advised of any significant changes to the advertised programme, in accordance with our Terms and Conditions.

Compulsory units

Applied data science, foundations and applications of machine learning, programming for data science, statistical modelling, statistics for data science, applied statistics, bayesian data analysis, research project preparation, statistical design of investigations, dissertation.

This is the one-year version of the course without placement. We also offer this course with a placement year , giving you the opportunity to gain work experience as part of your degree.

• Learning and assessment

You’ll be taught and assessed by a variety of methods and it will vary between units. These methods are designed to promote in-depth learning and understanding of the subject.

These lists are to give you an idea of some, but not all, of the learning and assessment methods used on this course. They are not exhaustive lists and methods are subject to change.

Learning and teaching

Overall workload.

You should expect to spend approximately 35 to 40 hours a week studying on your course. These hours consist of structured activities and independent learning.

You will experience a mix of in person teaching, that will take place on campus, and structured online learning delivered through the University’s virtual learning environment.

Structured learning activities

MSc programmes deliver taught units in the first and second semesters, with the Summer dedicated to a dissertation. The second semester will have less structured learning as you will start to prepare for your dissertation. Both during the dissertation preparation and the dissertation, supervision will take place at times suitable to you and your supervisor.

Typically, you can expect to spend approximately 12 hours per teaching week on structured learning activities. The majority of these activities will be in timetabled sessions on campus. A small proportion may be online.

In-person teaching and online activities

Timetabled sessions delivered in person on campus will be a mix of lectures, seminars, tutorials, and laboratories. Online activities may include following a recorded lecture, or other learning materials, or joining a timetabled live interactive session through Microsoft Teams or Zoom.

Independent learning

The remainder of your time outside these structured activities will be spent in independent learning which includes individual research, reading journal articles and books, working on individual and group projects, preparing coursework assignments, presentations, or revising for exams.

To support you in your studies you will be able to access, outside of timetabled learning, facilities on campus and in Bath such as study spaces, computers, and the Library.

Recognition of professional qualifications

As well as being recognised as a higher academic qualification, a number of our degrees are also accredited by professional bodies in the United Kingdom. An accredited degree may entitle you to work in a specific profession within the UK, and abroad (where there are reciprocating arrangements with professional bodies in other countries).

The requirements to practise a profession vary from country to country. If you wish to practise your profession outside the United Kingdom, you are advised to confirm that the UK professional qualification you seek is valid in the country in which you are intending to work.

‘If you're interested in a broad background in data science balancing core fundamentals with the latest technology like machine learning, this course is for you.’

• Entry requirements

Origin of qualifications

British qualifications.

You should have a first or strong second-class undergraduate degree or equivalent international equivalent.

To apply for this course, your undergraduate degree should be in a subject that incorporates a substantial mathematical element such as mathematics, statistics, computer science, physics, chemistry, engineering or economics. Experience of computer programming would also be advantageous.

We will also consider other subjects, for example geography or biology, which may meet the criteria depending on their specific mathematical and computing content.

We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.

If your first language is not English but within the last 2 years you completed your degree in the UK you may be exempt from our English language requirements.

English language requirements

• IELTS: 6.5 overall with no less than 6.0 in all components
• The Pearson Test of English Academic (PTE Academic): 62 with no less than 59 in any element
• TOEFL IBT: 90 overall with a minimum 21 in all 4 components

You will need to get your English language qualification within 24 months prior to starting your course.

If you need to improve your English language skills before starting your studies, you may be able to take a pre-sessional course to reach the required level.

Filipino qualifications

You should have a Bachelor degree (awarded from 2022 onwards) or a Master’s degree from a prestigious institution with a final overall score of 1.75 on a 5-point scale (where 1 is the highest mark) or 3.0 out of 4.0.

Sri Lankan qualifications

You should have a four-year Bachelor degree (Special or Honours) or a Bachelor degree (Professional) with a final overall result of at least 60%.

To apply for this course, your undergraduate degree may be in a programme that incorporates a strong element of both mathematics and computing such as mathematics, statistics, computer science, physics, chemistry, engineering or economics. Any such degree programme should have included some non-trivial element of programming instruction.

We will also consider other subjects, for example geography or biology, which might also meet the criteria depending on their specific mathematical and programming content.

Bangladeshi qualifications

You should have a Master's degree (following a 3 or 4 year Bachelor degree) with a final overall grade of at least 3.2 out of 4.0 (65% or B+). We may also consider a Bachelor of Architecture when studied for at least five years, or a Bachelor of Engineering when recognised by the Institution of Engineers Bangladesh (IEB) or accredited by the Board of Accreditation for Engineering and Technical Education (BAETE).

Greek qualifications

You should have a University Bachelor degree (Ptychio) or Diploma with a final overall score of at least 6.5 out of 10.

Ghanaian qualifications

You should have a Bachelor degree with a final overall result of Upper Second Class (60% or 3.25 on a 4-point scale).

Hungarian qualifications

You should have an Alapfokozt (Bachelor degree) or Egyetemi Oklevél (University Diploma) with an overall final result of 4 out of 5.

Egyptian qualifications

You should have a Bachelor degree from a university with a final overall result of at least 75% (Very Good) or 3.0 on a 4-point scale.

Cambodian qualifications

You should have a Master’s degree from a recognised degree-awarding institution with a final overall result of at least 80%.

Emirati qualifications

You should have a Bachelor degree with a final overall result of at least 3 out of 4, 80% or B.

Syrian qualifications

You should have a Bachelor degree (Licence/Al-ijâza) with a final overall result of at least 70-80% depending on the institution attended.

Taiwanese qualifications

You should have a Bachelor degree with a final overall result of at least 75%.

Mexican qualifications

You should have a Título de Licenciado or Título (Profesional) de [subject area] with a final overall result of least 8 out of 10.

Other qualifications

We welcome applications from graduates from all countries so if you can’t see your country in the list, please contact our admissions team for advice about your specific entry requirements.

Tunisian qualifications

You should have a Licence, Maîtrise, Diplôme National d'Ingénieur, Diplôme National d'Architecture with a final overall result of at least 14 out of 20 (Bien).

Estonian qualifications

You should have a Bakalaurusekraad (Bachelor degree), Diplomeeritud spetsialisti ülikoolidiplom/Kraadita Diploma (University Specialist's Diploma) or Rakenduskõrgharidusõppe Diplom (Professional Higher Education Diploma) with a final overall result of at least 4 on a 5-point scale (B).

Finnish qualifications

You should have a Kandidaatti / Kandidat (University Bachelor Degree), (Professional Title) (AMK/YH) (Bachelor degree from a University of Applied Sciences), Arkkitehti / Arktitekt / Diplomi-insööri / Diplomingenör / Proviisori / Provisor with a final overall result of at least 3.5 on a 5-point scale.

German qualifications

You should have a Bachelor degree, Erste Staatsprüfung (Primarstufe / Sekundarstufe I), Fachhochschuldiplom / Diplom (FH) or Magister Artium with a final overall result of at least 2.5 (Gut).

Irish qualifications

You should have a Honours Bachelor degree with a final overall result of at least Second Class Honours (Grade I).

Icelandic qualifications

You should have a Baccalaureus or Candidatus/a with an overall final result of at least 7.25 on a 10-point scale.

Indonesian qualifications

You should have a Bachelor degree (Sarjana I) with a final overall result of at least 3.0 out of 4.0.

Israeli qualifications

You should have a Bachelor degree with a final overall result of at least 80%.

Polish qualifications

You should have a Licencjat or Inżynier (Bachelor degree) with a final overall result of at least 4.5 on a 5-point scale.

New Zealander qualifications

You should have a Bachelor Honours degree or Bachelor degree with a final overall result of at least B+/B or 6 on a 9-point scale.

To apply for this course, your undergraduate degree may be in a programme that incorporates a strong element of both mathematics and computing such as mathematics, computer science, physics, chemistry, engineering or economics. Any such degree programme should have included some non-trivial element of programming instruction.

Ugandan qualifications

You should have a Bachelor degree with a final overall result of at least Class II Upper or GPA 4.0 on a 5-point scale.

Ukrainian qualifications

You should have a Bachelor degree (awarded after 2007) or Specialist Diploma with a final result of at least 80% or 3.5 on a 4-point scale. Please contact us if your institution uses a different grading scale.

Iranian qualifications

You should have a Bachelor's degree with a final overall result of at least 14 out of 20 when studied at a state university and 15 out of 20 when studied at a private university.

Kazakhstani qualifications

You should have a Bakalavr (Bachelor degree) or Specialist Diploma with a final overall result of at least 4.3 on a 5-point scale or 3.2 on a 4-point scale.

Macedonian qualifications

You should have a Baccalaureus/Baccalaurea (Bachelor degree) with a final overall result of at least 9 out of 10.

Russian qualifications

You should have a Diplom Bakalavra (Bachelor degree) or Specialist Diploma with an overall final result of at least 4 out of 5 (khorosho/good).

Portuguese qualifications

You should have a Licenciado with a final overall result of at least 15 out of 20.

Norwegian qualifications

You should have a Bachelorgrad (Bachelor degree), Candidatus/a Magisterii, Sivilingeniør or Siviløkonom with a final overall result of at least B.

Jamaican qualifications

You should have a Bachelor degree with a final overall result of at least Second Class (Upper).

Japanese qualifications

You should have a Bachelor degree (Gakushi) with a final overall result of at least 3.0 out of 4.0 (B).

Jordanian qualifications

You should have a Bachelor degree with a final overall result of Very Good or GPA 3.0 on a 4-point scale.

Dutch qualifications

You should have a Bachelor degree or Doctoraal with a final overall result of at least 7 out of 10.

Romanian qualifications

You should have a Diplomă de Licență (Bachelor degree), Diplomă de Inginer or Diplomă de Urbanist Diplomat with a final overall result of at least 8 out of 10.

Bolivian qualifications

You should have a Licenciado or Titulo de [subject area] with a final overall result of at least 75%.

Singaporean qualifications

You should have a strong Bachelor (Honours) degree when studied at Nanyang Technological University (NTU), National University of Singapore (NUS), Singapore Institute of Technology or Singapore University of Social Sciences with a final overall result of at least Second Class (Upper) Honours, or a strong Bachelor degree when studied at Singapore Management University (SMU) or Singapore University of Technology and Design (SUTD). Typically, we require a final overall result of at least Second Class (Upper) Honours, 60% or B, however we ask that you upload a copy of the grading scale used by your institution, along with your transcript, when you submit your application due to the range of grading scales used by different institutions.

Lithuanian qualifications

You should have a Bakalauro Diplomas or Profesinis Bakalauras with an overall final result of at least 8 out of 10.

Malawian qualifications

You should have a Master's degree with a final overall result of at least 70%.

Albanian qualifications

You should have a Diplomë Bachelor or a Master i Shkencave with a final overall result of at least 8 out of 10. Please contact us if your institution uses a different grading scale.

Belgian qualifications

You should have a Bachelier, Licencié or Licentiaat and other two cycle diplomas with a final overall score of at least 16 out of 20.

Algerian qualifications

You should have a Licence, Diplôme in any specialised professional field, Diplôme d'Ingênieur, Diplôme d'Architecte d'État or Diplôme d'Etudes Supérieures with a final overall score of at least 14 out of 20.

Australian qualifications

You should have a Bachelor Honours degree with a final result of at least Second Class (Upper Division) or a Bachelor degree with a final result of Distinction or higher.

Austrian qualifications

You should have a Bachelor degree or Fachhochschuldiplom/Diplom (FH) with a final result of at least Gut.

Brazilian qualifications

You should have a Titulo de Bacharel, Titulo de [subject area] or Licenciado/a with a final overall result of at least 7.5 out of 10.

Nepali qualifications

You should have a four-year Bachelor degree from a recognised university, or a Master's degree following a three-year or four-year Bachelor degree, with a final overall result of at least 65% or 3.25/4.0.

Kuwaiti qualifications

You should have a Bachelor degree (البكالوريوس) with a final overall result of 3.2 on a 4-point scale.

Vietnamese qualifications

You should have a Bachelor degree (Bằng Tốt Nghiệp Đại Học/Bằng Cử Nhân) of at least four years or a Master’s degree (Thạc sĩ) from a recognised degree-awarding institution with a final overall result of at least 7.0 on a 10-point scale.

Colombian qualifications

You should have a Licenciado en, Titulo de, Profesional en, Maestro en or Diploma de [subject area] with a final overall result of at least 3.8.

Croatian qualifications

You should have a Baccalaureus or Baccalaurea with a final overall result of at least 4 out of 5.

Canadian qualifications

You should have a Bachelor degree (Honours) or Bachelor degree with a final overall result of at least CGPA 3.0 on a 4-point scale (B or 70%). Please contact us if your institution uses a different grading scale.

Czech qualifications

You should have a Bakalár (Bachelor degree) with a final overall score of 1.5 on a 1-4 scale or Grade B. Please contact us if your institution uses a different grading scale.

Chilean qualifications

You should have a Grado de Licenciado with a final overall result of at least 5.5 on a 7-point scale.

Bulgarian qualifications

You should have a Bachelor degree with a final overall result of at least 5 out of 6.

Cypriot qualifications

You should have a Bachelor degree (Ptychio) with a final overall result of at least 6.5 out of 10.

Indian qualifications

Typically, you should have a Bachelor degree with a final overall result of at least First Class. However, due to the number of different grading scales in use, we ask that you upload a copy of the grading scale used by your institution, along with your transcript, when you submit your application.

If you have graduated within the last 5 years from an Indian university where the medium of instruction is English and have achieved the required level of English in your Indian 12th Standard examinations, we may be able to assess your English. More information can be found here .

Pakistani qualifications

You should have a four-year Bachelor’s degree from a high ranked (HEC) university with a final overall result of at least a First Class (Divison 1).

Danish qualifications

You should have a Bachelor degree, Candidatus Philosophiae, Diplomingeniør (Engineer), Professionsbachelor (Professional Bachelor degree) or Korrespondenteksamen with a final overall result of at least 7 out of 10.

South Korean qualifications

You should have a Bachelor degree (Haksa) with a final overall result of at least 3.0 out of 4.3 or 3.5 out of 4.5.

Thai qualifications

You should have a Bachelor degree with a final overall result of at least CGPA 3.0.

Italian qualifications

You should have a Laurea, Laurea in Ingegneria / Architettura, Diploma Accademico di Primo Livello, Diploma di Mediatore Linguistico or Licenza di Academia di Belle Arti with a final result of at least 102 out of 110.

Saudi Arabian qualifications

You should have a Bachelor degree with a final overall result of at least 3.5 on a 5-point scale or 3.0 on a 4-point scale.

We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree. depending on their specific mathematical and programming content.

Malaysian qualifications

You should have a Bachelor degree with a final overall result of at least Second Class (Division 1).

Chinese qualifications

You should have a four-year Bachelor degree with a final overall score of at least 75-80% depending on the institution attended.

Zimbabwean qualifications

You should have a Bachelor Honours degree with a final overall result of at least Upper Second Division (65%).

Swedish qualifications

You should have a Kandidatexamen (Bachelor Degree) or Yrkesexamen (Professional Bachelor degree) with a final overall result of at least Grade B. Please contact us if your institution uses a different grading scale.

Slovene qualifications

You should have a Diploma o pridobljeni univerzitetni izobrazbi (University Degree), Diplomant or Univerzitetni diplomant with a final overall result of at least 8 out of 10 (prav dobro/very good).

South African qualifications

You should have a Bachelor Honours degree, Professional Bachelor degree or Baccalaureus Technologiae (Bachelor of Technology) with a final overall result of at least Second Class (Division One) or 70%.

American qualifications

You should have an Honors Bachelor degree or Bachelor degree with a final overall result of at least CGPA 3.0 on a 4-point scale.

Kenyan qualifications

You should have a Bachelor degree with a final overall result of at least Second Class Honours (Upper Division).

Nigerian qualifications

French qualifications.

You should have a Grade de licence / Grade de licence professionnelle with a final overall result of at least 13 out of 20.

Tanzanian qualifications

You should have a Bachelor degree with a final overall result of at least Upper Second (Very Good, B+ or GPA 3.5 on a 5-point scale).

Hong Kongese qualifications

You should have a Bachelor degree (Honours) with a final overall result of Second Class (Division 1) Honours or 3.0 out of 4.0.

Turkish qualifications

You should have a Lisans Diplomasi (Bachelor degree) or Mühendis Diplomasi with a final overall score of at least GPA 2.8-3.0 on a 4-point scale, depending on the institution you have attended.

Spanish qualifications

You should have a Título Universitario Oficial de Licenciado en (subject area) (Licenciatura), Título Universitario Oficial de Graduado en (subject area) (Grado), Título de Ingeniero or Título de Arquitecto with a final overall result of at least 7 out of 10 (Notable/Very Good).

• Fees and funding

Fees and funding information for Statistics and Data Science MSc

Your tuition fees and how you pay them will depend on whether you are a Home or Overseas student.

Tuition fees

See the most recent fees for postgraduate courses .

Placement fees

You will normally pay a reduced tuition fee while on a placement period or studying abroad. Find out more about placement fees and study abroad fees .

Extra costs

If you receive an offer, you will need to pay a non-refundable deposit of £1,000 when you accept to secure your place. This will be deducted from your tuition fee when you register.

IT requirements

Computational work will be an integral part of the course. Therefore, you are strongly encouraged to get up to speed with Python before starting the MSc and to bring a laptop computer with the Windows, Mac or Linux operating system and an up-to-date Python installation.

Tuition fee loans

If you are studying a postgraduate course, you may be able to take out a loan for your tuition fees and living costs.

Scholarships and bursaries

You could be considered for a bursary or scholarship to help you study at Bath. You do not have to pay it back.

Other payment options

You can pay your tuition fees by Direct Debit, debit card, credit card or bank transfer. You may also be eligible for a student loan to help you pay your fees.

You will need to budget at least £100 for the cost of photocopying, printing and binding. You will also need to budget for the cost of textbooks.

Some courses involve visits away from campus and you may be required to pay some or all of the costs of travel, accommodation and food and drink.

If you’re on a placement, you’re responsible for your own travel, accommodation and living costs. You should also consider the financial implications if you go on an unpaid or overseas placement.

• Application information
• Course title Statistics and Data Science
• Final award MSc
• Mode of study Full-time
• Course code TDUCM-DS07
• Department Department of Mathematical Sciences
• Location University of Bath Claverton Down, Bath BA2 7AY

We recommend you apply early as we may close applications before the deadline if a course is full.

We recommend you apply early as we may close applications before the deadline if a course is full. We may consider late applications but if you need a Student Visa to study in the UK, you will need time to apply for and receive your visa to be in the UK by the start of the course.

• Application eligibility Home and Overseas students are eligible to apply
• Regulator The Office for Students (OfS)
• Course enquiries
• Related courses
• Statistics and Data Science MSc – 2 years with professional placement

On this page

• Course changes for 2025/26
• Recognition of Professional Qualifications

In this unit you will delve into the essential concepts and methodologies of data science, acquiring both theoretical knowledge and practical skills. You will study the theoretical underpinnings of data science techniques needed for analysing complex datasets. You will get hands-on experience of data handling, curation, and pre-processing, applying low-level and high-level software tools, evaluating outcomes and effectively communicating your findings.

• Year 1 - Semester 1
• Year 1 - Semester 2

In this unit you will develop skills and gain experience in the practical application of frequentist statistics. You will learn about the planning and design of studies, the practicalities of the statistical analysis, the interpretation and reporting of results.

In this unit you will develop skills in Bayesian inference. You will be introduced to the Bayesian approach to statistics. You will study the theory and computational implementation of different Bayesian estimation techniques. You will learn about the appropriate interpretation and reporting of Bayesian analysis. You will encounter examples in health, finance and other areas.

In this unit you will work on the project you prepared during semester 2. You will work under the supervision of a university academic. You will be supported to apply the statistics and data science skills you studied earlier in the course to an in-depth investigation of an area or problem of interest.

In this unit you will develop an understanding for of the theory and practice of a range of machine learning techniques and algorithms, including deep neural networks, used in supervised and unsupervised learning.

In this unit you will develop skills in numerical programming using an appropriate language. You will be introduced to programming principles, learn to write algorithms from scratch and utilise algorithms from standard libraries. You will study methods and structures to handle, process and analyse large datasets. You will learn about frameworks for producing sustainable software.

In this unit you will develop skills required to undertake a research project in mathematics, statistics or data science.

In this unit you will explore the statistical aspects of the design of experimental and observational studies, and the associated methods of statistical analysis.

In this unit you will develop skills in understanding and applying linear, generalised linear and multilevel mixed effect statistical models.

In this unit you will develop your understanding of the basic theory of probability and statistics and recognise when this theory can be applied in practice.