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.

It will be activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
Two modules among the following
9
C
SECS-P/01
9
C
SECS-P/01
9
C
SECS-P/02
9
C
SECS-P/05
One module between the following
6
B
SECS-P/07
6
B
SECS-P/07
9
B
IUS/04
3
F
-
Final exam
12
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
9
D
-
Between the years: 1°- 2°
Further language skills
3
F
-

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

Quantitative methods for international markets  (It will be activated in the A.Y. 2025/2026)

Teaching code

4S008983

Credits

9

Scientific Disciplinary Sector (SSD)

SECS-P/05 - ECONOMETRIA

Learning objectives

Econometrics is the application of statistics and mathematics to economic and business data. In today’s world data are largely available and econometric techniques are crucially important to conducting reliable data analyses in private and public institutions. This course introduces students to regression methods for cross-sectional, time series, and panel data in order to analyze data in business and economics. After presenting the basic theoretical features of each method, the module will offer students the opportunity to practically implement estimation and hypothesis testing techniques in various empirical contexts. The main goal of the course is to provide students with a solid background in econometrics, to stimulate their abilities to apply such techniques on diverse datasets, and to enable them to critically analyze empirical studies in economics, business, and finance.