Master in computational finance

A new interdisciplinary master program

Unlock your potential and become an expert in quantitative finance and advanced computational methods with the Computational Finance master program at the University of Padova. In recent years, quantitative methods have been playing an increasingly important role in finance, insurance and energy markets. Artificial intelligence techniques are driving a rapid transformation of these sectors, providing efficient solutions to challenging problems. The Computational Finance master is a highly interdisciplinary program at the interface of four fields: economics, mathematics, statistics, computer science.


interdisciplinary knowledge

strong market demand

Deadline: July 15, 2024, at 12:00 p.m. (CEST)

Two scholarships for Computational Finance students

apply now

Start October 2024
Pre-courses starting end of September, 2024

Duration 2 years (120ECTS)

Language English

Access Open access with admission requirements

Location Padova

Four reasons to enroll in the Computational Finance master


The master is jointly run by three departments:

  • Department of Mathematics;
  • Department of Economics and Management;
  • Department of Statistics.

An interdisciplinary faculty.


Strong market demand of professional profiles corresponding to the graduates in Computational Finance.


The unique combination of skills of a Computational Finance graduate enables her to identify financial problems, proceed with their quantitative analysis, and propose effective operative solutions.


Close interaction with the financial industry. Professional seminars allow the students to be in touch with professionals from the industry.

Discover the Computational Finance master program


Gain insights and knowledge from a high-level faculty, with proven teaching qualifications and international experience.

Claudio Fontana

Claudio Fontana

Director of the MSc degree in Computational Finance, Dept. of Mathematics

Giorgia Callegaro

Giorgia Callegaro

professor of mathematical finance, Dept. of Mathematics

Marco Ferrante

Marco Ferrante

professor of probability, Dept. of Mathematics

Giovanni Da San Martino

Giovanni Da San Martino

professor of computer science, Dept. of Mathematics

Massimiliano Caporin

Massimiliano Caporin

professor of statistics, Dept. of Statistics

Bruno Maria Parigi

Bruno Maria Parigi

professor of financial economics, Dept. of Economics and Management​