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. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021

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
12
C
MAT/06
12
B
INF/01

2° Year  activated in the A.Y. 2021/2022

ModulesCreditsTAFSSD
9
B/C
IUS/01 ,M-FIL/03
Training
6
F
-
Final exam
22
E
-
activated in the A.Y. 2021/2022
ModulesCreditsTAFSSD
9
B/C
IUS/01 ,M-FIL/03
Training
6
F
-
Final exam
22
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
1 module among the following (1st year: Big Data epistemology and Social research; 2nd year: Cybercrime, Data protection in business organizations, Comparative and Transnational Law & Technology)
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 courses among the following (1st year: Business analytics, Digital Marketing and market research; 2nd year: Logistics, Operations & Supply Chain, Digital transformation and IT change, Statistical methods for Business intelligence)
6
B
SECS-P/10
6
B
SECS-P/08
6
B
SECS-P/10
6
B
SECS-P/08
6
B
SECS-S/01
Between the years: 1°- 2°
2 courses among the following (1st year: Complex systems and social physics, Discrete Optimization and Decision Making, 2nd year: Statistical models for Data Science, Continuous Optimization for Data Science, Network science and econophysics, Marketing research for agrifood and natural resources)
6
C
FIS/02
6
C
MAT/09
6
C
AGR/01
6
C
MAT/06
6
C
MAT/08
6
C
FIS/02
Between the years: 1°- 2°
2 courses among the following (1st year: Data Visualisation, Data Security & Privacy, Statistical learning, Mining Massive Dataset, 2nd year: Machine Learning for Data Science)
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°
8
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 (2021/2022) - Master's degree in Mathematics