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. 2026/2027 A.A. 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.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
9
B
IUS/04
9
B
SECS-P/05
9
B
SECS-P/11
9
B
SECS-P/11
9
C
SECS-P/11
6
B
SECS-P/01
12
B
SECS-S/06

2° Year   It will be activated in the A.Y. 2026/2027

ModulesCreditsTAFSSD
6
B
SECS-P/11
6
B
SECS-P/09
9
B
SECS-S/03
9
C
SECS-P/11
6 CFU to be chosen between stage and further activities
6
F
-
Final exam
9
E
-
It will be activated in the A.Y. 2026/2027
ModulesCreditsTAFSSD
6
B
SECS-P/11
6
B
SECS-P/09
9
B
SECS-S/03
9
C
SECS-P/11
6 CFU to be chosen between stage and further activities
6
F
-
Final exam
9
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
English B2
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

Financial statistics  (2026/2027)

Teaching code

4S00489

Teacher

Not yet assigned

Credits

9

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Period

Primo semestre LM dal Sep 28, 2026 al Dec 18, 2026.

Courses Single

Authorized

Lessons timetable Seminars 0

Learning objectives

The goal of the course is to introduce students to the modern econometric and time series tools for analyzing and modeling financial returns and volatility. The course provides students with theoretical and practical knowledge of the statistical and computational skills needed for the identification, estimation and test of stochastic processes used by the financial operators to manage risk and develop investment strategies. At the end of the course, students will be able to critically compare the price dynamic of different assets and to estimate the parameters of the stochastic processes that captures the main stylized facts observed in the financial markets.