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 magistrale in International Economics and Business - 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
B
SECS-P/07
9
B
SECS-P/02
9
B
SECS-P/01
6
B
SECS-S/06
9
B
IUS/13
9
B
SECS-P/08
9
B
SECS-P/05

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

ModulesCreditsTAFSSD
Two modules among the following
9
C
SECS-P/01
9
C
SECS-P/01
9
C
SECS-P/02
9
C
SECS-S/03
One module between the following
6
B
SECS-P/07
6
B
SECS-P/07
9
B
IUS/04
Stage
3
F
-
Final exam
12
E
-
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
Two modules among the following
9
C
SECS-P/01
9
C
SECS-P/01
9
C
SECS-P/02
9
C
SECS-S/03
One module between the following
6
B
SECS-P/07
6
B
SECS-P/07
9
B
IUS/04
Stage
3
F
-
Final exam
12
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
Further language skills
3
F
-
Between the years: 1°- 2°
9
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 analysis for international business  (It will be activated in the A.Y. 2022/2023)

Teaching code

4S008988

Credits

9

Scientific Disciplinary Sector (SSD)

SECS-S/03 - STATISTICA ECONOMICA

Learning outcomes

The course aims at providing the skills for integrating, representing, and analysing business and market data which are heterogeneous in terms of source, structure, and nature of the phenomena to which they refer. Part of the course is focused on the development of participants' skills in manipulating complex data structures and mastering the graphical representation methods of statistical information. Course participants are going to be taught some of the main statistical techniques for analysing business and market data, including those which are currently included in the realm of machine learning. A particular emphasis is devoted to the analysis of geographical and geo-referenced data, and their relation to the market analysis. The approach of the course is mainly applicative and aimed at developing and strengthening the participants' skills in obtaining useful and reliable information from data.