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. 2025/2026 A.A. 2024/2025

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.

1° Year

ModulesCreditsTAFSSD
9
B
SECS-P/08
9
B/C
IUS/01 ,M-FIL/03
9
B
MAT/06
12
B
INF/01

2° Year  activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
Final exam
21
E
-
activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
Final exam
21
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
1 module among the following
6
C
M-FIL/02
6
C
IUS/02
6
C
IUS/17
6
C
SPS/07
6
C
IUS/04
Between the years: 1°- 2°
2 modules among the following
6
C
SECS-P/10
6
C
SECS-P/08
6
C
SECS-P/10
6
C
SECS-P/08
6
C
AGR/01
Between the years: 1°- 2°
1 module among the following 
- A.A. 2024/2025 Complex systems and social physics - Network science and econophysics - Statistical methods for business intelligence not activated
- A.A. 2025/26 Network science and econophysics not activated
6
C
FIS/02
6
C
FIS/02
6
C
SECS-S/01
Between the years: 1°- 2°
1 module among the following
6
B
MAT/09
6
B
MAT/06
6
B
MAT/08
Between the years: 1°- 2°
2 modules among the following
6
B
INF/01
6
B
ING-INF/05
6
B
ING-INF/05
6
B
INF/01
6
B
INF/01
Between the years: 1°- 2°
Further activities: International students (ie students who do not have an Italian bachelor's degree) must compulsorily gain 3 credits of Italian language skills level B2.
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

Continuous optimization for data science

Teaching code

4S009080

Credits

6

The course is given by  Foundation of data analysis (2024/2025) - Master's degree in Mathematics