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
GIUR-02/A
9
B
ECON-05/A
9
B
ECON-09/B
9
B
ECON-09/B
6
B
ECON-01/A
12
B
STAT-04/A
9
C
ECON-09/B

2° Year   It will be activated in the A.Y. 2027/2028

ModulesCreditsTAFSSD
6
B
ECON-09/B
6
B
ECON-09/A
9
B
STAT-02/A
9
C
ECON-09/B
6 CFU to be chosen between stage and further activities
6
F
-
Final exam
9
E
-
It will be activated in the A.Y. 2027/2028
ModulesCreditsTAFSSD
6
B
ECON-09/B
6
B
ECON-09/A
9
B
STAT-02/A
9
C
ECON-09/B
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 level
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

Stochastic Models for Finance  (2026/2027)

Teaching code

4S02482

Teacher

Marco Minozzo

Coordinator

Marco Minozzo

Credits

9

Language

Italian

Scientific Disciplinary Sector (SSD)

STAT-01/A - Statistics

Period

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

Courses Single

Authorized

Lessons timetable Seminars 0

Learning objectives

The course provides to students in economics and finance an overview of the theory of probability at an intermediate level. Prerequisite to the course is an elementary knowledge of probability at the level of an undergraduate first or second year introductory course in probability and statistics. In particular, a basic knowledge of the following topics is recommended: most common univariate discrete and continuous distributions; weak law of large numbers; central limit theorem. The final objective of the course is to give an introduction to the advanced theory of conditional expectation, of stochastic processes in the discrete and continuous time domains and to stochastic integration.