Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Study Plan

A.A. 2026/2027 A.A. 2025/2026

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
12
B
MATH-03/A
6
B
MATH-04/A

2° Year   It will be activated in the A.Y. 2027/2028

ModulesCreditsTAFSSD
Final exam
30
E
-
ModulesCreditsTAFSSD
12
B
MATH-03/A
6
B
MATH-04/A
It will be activated in the A.Y. 2027/2028
ModulesCreditsTAFSSD
Final exam
30
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
2 modules among the following: area algebra and geometry + analysis
- A.A. 2026/2027 Applied algebra not delivered
6
B
MATH-02/B
6
B
MATH-02/A ,MATH-02/B
6
B
MATH-02/A
6
B
MATH-02/B
6
B
MATH-02/A
6
B
MATH-03/A
6
B
MATH-02/A
6
B
MATH-03/A
6
B
MATH-03/A
Between the years: 1°- 2°
3 modules among the following: area modeling and computational mathematics
6
B
MATH-04/A
6
B
MATH-05/A
6
B
MATH-03/B
6
B
MATH-06/A
6
B
MATH-05/A
6
B
MATH-05/A
6
B
MATH-05/A
6
B
MATH-03/B
6
B
MATH-03/B
6
B
MATH-03/B
Between the years: 1°- 2°
24 credits among the following modules:
- A.A. 2026/2027 Applied algebra not delivered
6
B/C
MATH-01/A
6
B/C
MATH-02/B
6
B/C
MATH-02/A ,MATH-02/B
6
B/C
MATH-04/A
6
B/C
MATH-02/A
6
B/C
MATH-02/A
6
B/C
INFO-01/A
6
B/C
INFO-01/A
6
B/C
MATH-02/B
6
B/C
MATH-05/A
6
B/C
MATH-02/A
6
B/C
ECON-07/A
6
B/C
INFO-01/A
6
B/C
MATH-03/B
6
B/C
MATH-01/A
6
B/C
MATH-03/A
6
B/C
MATH-06/A
12
B/C
MATH-01/B
6
B/C
MATH-02/A
6
B/C
PHYS-03/A
6
B/C
MATH-05/A
6
B/C
MATH-05/A
6
B/C
MATH-05/A
6
B/C
MATH-03/A
6
B/C
MATH-03/A
6
B/C
PHYS-03/A
6
B/C
MATH-03/B
6
B/C
MATH-03/B
6
B/C
MATH-03/B
Between the years: 1°- 2°
Further activities
6
F
-
Between the years: 1°- 2°
12
D
-

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Statistical learning (2026/2027)

Teaching code

4S008279

Credits

6

Coordinator

Paolo Dai Pra

Language

English en

Also offered in courses:

Scientific Disciplinary Sector (SSD)

MAT/06 - PROBABILITY AND STATISTICS

Courses Single

Authorized

Seminars 0

The teaching is organized as follows:

Part II
The activity is given by Statistical learning - Part II of the course: Master's degree in Data Science

Credits

3

Period

II semestre

Academic staff

Alberto Castellini

Lessons timetable
Part I

Credits

3

Period

II semestre

Academic staff

Paolo Dai Pra

Lessons timetable

Learning objectives

The objective is to introduce students to statistical modelling and exploratory data analysis. The mathematical foundations of Statistical Learning (supervised and unsupervised learning, deep learning) are developed with emphasis on the underlying abstract mathematical framework, aiming to provide a rigorous, self-contained derivation and theoretical analysis of the main models currently used in applications. Complimentary laboratory sessions will illustrate the use of both the key algorithms and relevant case studies, mainly by using standard software environments such as R or Python.