Educational offer

All teaching activities (foundation and specialist courses) are mandatory for first year students. 

Foundation courses

Functional Analysis (A. Cesaroni), November-December 2025

Probability Theory (A. Picarelli, Univ. Verona), November-December 2025

Programming Methodologies for Data Analysis (L. Di Gaspero, Univ. Udine), November 2025

Statistical Models (C. Gaetan, Univ. Ca' Foscari Venezia - M. Bernardi, S. Mazzuco, D. Risso and B. Scarpa), February-May 2026

Theory and Methods of Inference (A. Salvan, N. Sartori and L. Pace), March-June 2026

Statistical Consulting (A. Canale, M. Guidolin) 2026

Specialist courses (planning in progress)

Several specialist courses are planned every year. Some of them are taught by guest instructors.

Applied Multivariate Techniques (L. Finos), December 2025 -February 2026

Sampling Theory (P. F. Perri, Univ. della Calabria), January 2026

Bayesian Data Analysis and Computation (B. Liseo and A. Tancredi, Sapienza Univ. Roma), April - May 2026

Kalman Filter and State Space Models (S.J. Koopman, VU University, Amsterdam, NL), July 2026 

Further activities

Library courses (leaflet 2026, Calendar, Welcome PhD Student 2026)

• First module: How to do an effective bibliographic research in Padua University 1. Services and resources. 2. Databases by topics.
• Second module: Bibliography and Plagiarism 1.  Bibliographic citations and citation styles. Plagiarism. 2.  Reference management: introduction to Zotero. Integration with LaTeX.
• Third module: Bibliometrics and academic publishing 1.   Introduction to bibliometrics. Academic publishing and Open Access. 2. Padua Research Archive (PRA/IRIS) the institutional repository for academic research.
• Fourth module: Open Science and PhD thesis 1.   Institutional repositories for the outputs of research. 2. Management of PhD theses

More information about Scholarly Communication and principles of Open Science please see libraries Moodle: https://elearning.unipd.it/sba/course/view.php?id=21 

Anyone interested in the program is invited to contact <phd@stat.unipd.it>