The study plan is made up of the following activities:

• Core courses: 45 ECTS
• Major courses: at least 27 ECTS
• Minor courses: up to 18 ECTS
• Free-choice course: 9 ECTS*
• Other activities (mainly transferable skills): 1 ECTS
• Master’s thesis: 20 ECTS

* Applicants whose background in statistical modelling (mainly generalised linear models) is not sufficient may be required, at the admission stage, to take Statistical Models II. In that case, this course replaces the free-choice course in their study plan.

Core courses

First year

• Probability Theory
• Statistics (Advanced)
• Statistical Models for Social Data
• Data Mining

Second year

• Statistical Models for Economic Data

Major courses

Students choose their Major courses from the list below. Please note that Major course exams can only be taken after passing the exams of Probability Theory and Statistics (Advanced).

• Computational Biostatistics and Bioinformatics
• Computational Statistics (Advanced)
• Epidemiology and Statistical Methods for Medical Research (Advanced)
• Financial Data Analysis
• Issues and Methods for Population and Society
• Multiple-Source Data and Territorial Analyses
• Statistical Methods and Models for Business
• Statistical Methods and Models for Finance
• Statistical Methods for Causal Inference
• Statistical Methods for Functional Data
• Statistical Methods for High-Dimensional Data
• Statistical Methods for Marketing Research
• Statistics: Case Studies
• Statistics for Technology and Industry

Minor courses

Minor courses can be chosen from the wide range of courses offered across the University of Padova. Your choice must be approved by the Programme Director.

Full details on course content are available in the course catalogue.