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PHD programmes
PhD programme degrees are the highest academic recognition and provide the competence required to carry out research activities and teach at the university. The listed PhDs are offered by the Department.
Academic Year 2024/2025
Statistical sciences.
Coordinator: Prof. Angela Montanari
Language: English Italian
Call for applications: closed
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Probability
Sabrina Mulinacci
Event location: Department of Statistical Science, Alma Mater Studiorum - University of Bologna
Type: Cycle 32 - Mandatory Courses
E-mail [email protected]
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Statistical sciences.
Crash course on the R statistical software
An alignment course for students who will enrol in the Master's Degree in Statistical Sciences for the academic year 2024/25 and have never studied the R statistical software
Crash course on probability
An alignment course for students who will enrol in the Master's Degree in Statistical Sciences for the academic year 2024/25 and need to brush up on some basic probability topics
Masterclass "Generative AI for everyday life and academic research"
Sign up to participate in the conference organized to discuss the impact of AI on people's daily lives, taking place from from 9 to 10 September.
Do you have an idea for a startup and want to find out if it's viable?
Start-up creation lab is a free training program for entrepreneurship dedicated to young talents. Apply by 17 September.
Rent subsidies
To obtain the grant, read the announcement and check the participation requirements. Deadline: 6 September.
- Programme type Laurea Magistrale (Second cycle degree/Two year Master - 120 ECTS)
- Place of teaching Bologna
- Language English
- Type of access Open access with assessment of personal competencies
- Degree Programme Class LM-82 - Statistics
- Degree Programme Director Gabriele Soffritti
- Degree type One or more curricula provide double/multiple degree
- Department Statistical Sciences "Paolo Fortunati" - STAT
- Learning activities Course structure diagrams
EMOS and RSS accreditation
By the European Statistical System Committee (ESSC) and by the Royal Statistical Society.
Choose your curriculum
Data science, health and population analytics, official statistics, most viewed, do you love innovation for you, the cbi and sugar programs.
Participate in international programs that support innovative ideas to tackle societal challenges in the spirit of open innovation. Applications are open until 6 September.
Social Area Internship Offices closed for Summer 2024
Internship offices of Economics, Statistics, Political Sciences and Law closed for the Summer Holidays 2024
Course Timetables a.y. 2024-2025
The course timetables have been published Take a look and start imagining your days at the University.
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How we monitor the quality of Degree Programmes and student services.
Royal Statistical Society accreditation
The Master’s Degree in Statistical Sciences has been awarded the status of RSS Accredited University by the Royal Statistical Society
European Master in Official Statistics
The curriculum Official Statistics of the master in Statistical Sciences has been awarded the EMOS label by the European Statistical System Committee (ESSC).
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67730 - Econometrics
Academic year 2024/2025.
- Docente: Denni Tommasi
- SSD: SECS-P/05
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Economics and Public Policy (cod. 5945)
Course Timetable
from Nov 11, 2024 to Dec 13, 2024
Learning outcomes
At the end of the course the student has acquired knowledge of the core micro-econometric models and methods designed to study the behaviour of economic agents using cross-section and panel data, including static panel data models, instrumental variable methods. In particular, he/she is able: - to critically understand the applications of these models in the recent empirical economic literature; - to apply the models and perform his/her own analysis of economic datasets using the software STATA.
Course contents
- Introduction to econometric methods, data and STATA
- Simple and multiple regression models (advanced)
- A variety of data issues
- Pooled cross section and panel data models
- Binary choice models
Readings/Bibliography
Jeffrey M. Wooldridge, Introductory Econometrics: A Modern Approach (latest edition available).
Teaching methods
For each topic we will first introduce the relevant theory, and then move to its empirical application. Special emphasis will be placed on the economic interpretation of the results.
Assessment methods
Written exam, problem sets and in-class participation.
Teaching tools
We will discuss several empirical analysis using the econometric software STATA.
Office hours
See the website of Denni Tommasi
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PHD programmes
PhD programme degrees are the highest academic recognition and provide the competence required to carry out research activities and teach at the university. The listed PhDs are offered by the Department.
Academic Year 2024/2025
Coordinator: Prof. Alessandro Gabrielli
Language: English Italian
Call for applications: closed
PhD website
Future Earth, Climate Change and Societal Challenges
Coordinator: Prof. Silvana Di Sabatino
Language: English
Astrophysics
Coordinator: Prof. Andrea Miglio
The Research Doctorate “Future Earth, Climate Change and societal Challenges” (short name Frontiers) is a post-graduate academic course coordinated by the Department of Physics and Astronomy together with 14 other Departments of the University.
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Statistics, Ph.D.
Gain a comprehensive and balanced training in statistical methods and statistical theory with the doctoral program in statistics.
This program emphasizes training students to independently recognize the relevance of statistical methods to the solution of specific problems. It also enables them to develop new methods when they are needed.
This program will convey a sound knowledge of existing statistical theory. It will also develop the mathematical skills needed to develop new results in statistical methodology.
The program is sufficiently flexible to permit you to develop your specific interests.
Ph.D. in Statistics Program Requirements
Steps to Fulfill a Doctoral Program
IMAGES
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Application deadline: Jun 20, 2023 at 11:59 PM (Expired) PhD Call for Applications, with scholarships funded by NRRP and other funds. Call for applications. PhD Programme Table. Enrolment: From Jul 28, 2023 to Aug 22, 2023. Doctoral programme start date: Nov 01, 2023. Department of Statistical Sciences "Paolo Fortunati" - STAT.
The fully funded FutureData4EU program is aimed at ambitious graduates and researchers eager to acquire advanced skills in the field of data science and big data application. Motivated candidates from diverse disciplines are invited to participate to receive multidisciplinary, international and cross-sectoral training. Go to page. angela ...
Doctoral programme start date: Nov 01, 2024. Application deadline: Jun 17, 2024 at 11:59 PM (Expired) Call for Applications. Call for applications. PhD Programme Table. Final ranking list. Enrolment: From Jul 18, 2024 to Jul 30, 2024. Doctoral programme start date: Nov 01, 2024. Department of Statistical Sciences "Paolo Fortunati" - STAT.
PhD in Statistical Sciences. Statistical Sciences. Enrolment: From Sep 26, 2022 to Oct 05, 2022 - On www.studenti.unibo.it download NRRP forms only. Doctoral programme start date: Nov 01, 2022. Positions: More information in the PhD Programme Table. Enrolment: From Jul 27, 2022 to Aug 05, 2022. Doctoral programme start date: Nov 01, 2022.
The Ph.D. Programme in Statistics develops in 3 years and training activities require: attending courses with a final assessment. attending short courses, reading groups and internal seminars. participating to the department's life. preparing a Dissertation with original contributions in Statistics.
About 5 PhD studentships for A.Y. 2024/25 will be available at University of Bologna for candidates interested in any area of Statistical Sciences (start of activities: November 1st, 2024). Follow the link below for updates. All available positions will be covered by a scholarship. The award will be for three years, subject to satisfactory ...
PHD programmes PhD programme degrees are the highest academic recognition and provide the competence required to carry out research activities and teach at the university. The listed PhDs are offered by the Department.
F) Introduction to the multivariate statistics. Principal components analysis (PCA) Partial least square regression (PLSR) DATA PROCESSING. A) Recall and insights. Excel for Windows commands, syntax, statistical formulas, math and trigonometry, logic, filters, "data analysis" tool, "macro" and Visual Basic language, creating reports
Statistics. Foundation of Statistics - prof. P.G. Bissiri; Asymptotic tools - prof. C. Viroli; Kullback-Leibler information and statistical modeling - prof. G. Soffritti; Time series module 1: state space models and recent developments - prof. A. Luati; Time series module 2: introduction to non linear time series - prof. Greta Goracci
Vai alla Homepage del Portale di Ateneo Phd programme Statistics . Menu. Home People Apri sottomenù Faculty; PhD Students; Alumni; Staff; Programme
The aim of the course is to deliver skills related to usage of data analysis tools and tecniques both in descriptive and inferential statistics. At the end of the course the student will be able to use for basic tasks one of the most common data analysis softwares.
The provisions governing the selection procedure are laid down in the Call for applications and its attachments. University of Bologna PhD programmes. Other phd programmes the University of Bologna is involved in. Marie Skłodowska-Curie Actions - COFUND FutureData4EU Programme - 53 PhD positions to train new Big Data talents.
This page outlines all the important deadlines relevant for PhD Students and supervisors to be met for admission to the following year or to the final exam.The deadlines follow an ordinary academic career; variations due to Covid-19 delays will be announced separately. All documents produced by PhD students have to be produced using the .tex templates published at STAT PhD Classes Team ...
At the same time, the impacts of globalisation and global crises call into question the traditional paradigms of nationally designed and organised statistics. Under these conditions, the successful alignment and positioning of official statistics of the future cannot be a simple continuation of the modernisation successes of the past 25 years.
Innovative Technologies and Sustainable Use of Mediterranean Sea Fishery and Biological Resources (FishMed-PhD) A.Y. 2023-2024. Subject area: Biological, Geological and Agricultural Sciences. Language: English, Italian. Coordinator: Prof. Stefano Goffredo. Duration: 3 years. Call for applications closed.
Aula IV, Via Belle Arti 41 and STAT PhD Classes Virtual Room - In presence and online event. L.V. Ballestra. 23 MAY. -. 24 MAY 2023. Cycle 39 - Short courses and seminars. A new look at Bayesian uncertainty. Aula 12 (23rd) and aula 32 (24th) Piazza Scaravilli, Bologna. prof. S.G.Walker Department of Mathematics and Department of Statistics ...
Event location: Department of Statistics, Seminar Room 1st floor, Via Belle Arti 41, Bologna Type: Cycle 33 - Mandatory Courses Lessons schedule:
DayTimeClassroom Fri Oct 7 09-12 Classroom 4, Via Ranzani 1 Wed Oct 11 16-18 Classroom II, Via Belle Arti 41 Fri Oct 14 16-18 Classroom 4, Via Ranzani 1 Wed Oct 18 15-17 Classroom 4, Piazza Scaravilli Fri Oct 21 09-12 Classroom 4, Via Ranzani 1 Wed Oct 25 15-17 Classroom II, Via Belle Arti 41 Fri Oct 28 15-17 Classroom 4, Via Ranzani 1
Getting ready: writing and grading information. Choosing the subject and the rules on preparing the dissertation for the final examination. Choosing and proposing a subject. To graduate, you must propose a dissertation subject to a teacher within your Degree Programme, who will assess the validity of your proposal in relation to your study plan.
An alignment course for students who will enrol in the Master's Degree in Statistical Sciences for the academic year 2024/25 and need to brush up on some basic probability topics. 2 / 5. Overview. Open day. Programme type Laurea Magistrale (Second cycle degree/Two year Master - 120 ECTS) Place of teaching Bologna. Language English.
Curriculum 2: Joint PhD Program in Cognitive Neuroscience. The neural bases of higher cognition processes including memory, cognition, time perception, self-projection, executive functions. Job opportunities and potential areas of employment. PhD graduates will be able to obtain research positions or jobs related to applied Psychology or ...
Learning outcomes. At the end of the course the student has acquired knowledge of the core micro-econometric models and methods designed to study the behaviour of economic agents using cross-section and panel data, including static panel data models, instrumental variable methods.
PHD programmes. PhD programme degrees are the highest academic recognition and provide the competence required to carry out research activities and teach at the university. The listed PhDs are offered by the Department. Academic Year.
As of Fall 2024, the department is offering a new PhD concentration in Machine Learning and Data Science. More information can be found below: Filed Under: News Tagged With: Mathematics and Statistics Department News
Graduate Programs in Statistics; Frequently Asked Questions; Statistical Data Science, M.S. Statistics, Ph.D. Department of Statistics College of Arts & Sciences Texas A&M University. 447 Blocker Building (BLOC) 3143 TAMU | 155 Ireland St College Station, TX 77843-3143
Let the celebrations begin - Team Great Britain have finished Paris 2024 with 65 medals, beating their total from Tokyo by one. The total matches the team's medal haul from London 2012 and is the ...