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. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea in Economia e commercio - Enrollment from 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.

1° Year

ModulesCreditsTAFSSD
9
A
IUS/01
9
A
SECS-P/07
9
A
SECS-P/01
9
A
SECS-S/06
9
B
SECS-P/08
9
C
SECS-P/12
3
E
-

2° Year  activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
6
A
IUS/04
6
B
SECS-P/07
9
B
SECS-P/01
9
B
SECS-P/07
9
B
SECS-P/03
9
B
SECS-S/01
9
C
SECS-P/09

3° Year  activated in the A.Y. 2023/2024

ModulesCreditsTAFSSD
9
B
IUS/07
9
B
SECS-P/05
9
B
SECS-S/06
6
B
SECS-P/02
2 MODULES TO BE CHOSEN AMONG THE FOLLOWING
6
C
SECS-P/02
6
C
SECS-S/01
6
C
SECS-P/01
6
C
SECS-S/06
6
C
SECS-P/05
6
C
SECS-P/02
6
F
-
Prova finale
3
E
-
ModulesCreditsTAFSSD
9
A
IUS/01
9
A
SECS-P/07
9
A
SECS-P/01
9
A
SECS-S/06
9
B
SECS-P/08
9
C
SECS-P/12
3
E
-
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
6
A
IUS/04
6
B
SECS-P/07
9
B
SECS-P/01
9
B
SECS-P/07
9
B
SECS-P/03
9
B
SECS-S/01
9
C
SECS-P/09
activated in the A.Y. 2023/2024
ModulesCreditsTAFSSD
9
B
IUS/07
9
B
SECS-P/05
9
B
SECS-S/06
6
B
SECS-P/02
2 MODULES TO BE CHOSEN AMONG THE FOLLOWING
6
C
SECS-P/02
6
C
SECS-S/01
6
C
SECS-P/01
6
C
SECS-S/06
6
C
SECS-P/05
6
C
SECS-P/02
6
F
-
Prova finale
3
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°
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

Data Analytics and Big Data  (It will be activated in the A.Y. 2023/2024)

Teaching code

4S008960

Credits

6

Scientific Disciplinary Sector (SSD)

SECS-S/01 - STATISTICA

Learning outcomes

The course aims at introducing the basics of statistical learning and the techniques for manipulating and analysing large datasets with complex structures. Particular emphasis is devoted to regression and classification methods, which are studied both from a statistical and a computational perspective. All techniques are illustrated with real-data examples using statistical software. The application-oriented approach of the course aims at developing participants' skills in analysing data and applying statistical methods and algorithms appropriately.

Educational offer 2024/2025

ATTENTION: The details of the course (teacher, program, exam methods, etc.) will be published in the academic year in which it will be activated.
You can see the information sheet of this course delivered in a past academic year by clicking on one of the links below: