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.

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:

Bachelor's degree in Applied Mathematics - 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.

CURRICULUM TIPO:

2° Year   activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
C
SECS-P/01
6
C
SECS-P/01
English B2
6
E
-

3° Year   It will be activated in the A.Y. 2026/2027

ModulesCreditsTAFSSD
6
C
SECS-P/05
Final exam
6
E
-
activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
C
SECS-P/01
6
C
SECS-P/01
English B2
6
E
-
It will be activated in the A.Y. 2026/2027
ModulesCreditsTAFSSD
6
C
SECS-P/05
Final exam
6
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°
Between the years: 1°- 2°- 3°
Further activities
6
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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S008402

Coordinator

Cecilia Mancini

Credits

9

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/06 - MATHEMATICAL METHODS OF ECONOMICS, FINANCE AND ACTUARIAL SCIENCES

Period

I semestre dal Oct 1, 2026 al Jan 29, 2027.

Courses Single

Authorized

Learning objectives

The aim of the first smaller part of the course is to present some tools and topics of classical financial mathematics (compounding regimes, mortgages, bonds). The second larger part of the lecture provides an in-depth introduction to modern financial mathematics and stochastic methods in discrete time (stochastic processes and martingales in discrete time) that are useful in view of more advanced lectures on the topic. Students will have the opportunity to learn the terminology and the concepts that are useful for the understanding and use the techniques of classical and modern mathematical finance. The lecture provides important examples of applications of concepts from the lectures on probability.