Risk management. models and data science for finance, insurance and business

Description of Postgraduate Degree Course

General Information

Level: First-Level

Field of study: Legal, Economic and Social Sciences

Duration: Duration: 1 year

Mode of Delivery: In person

Location: Pisa

CFUs: 70

Admission application: Applications open until 30 June 2025

Start date: 03 November 2025

Website: http://masterriskmanagement.ec.unipi.it/

The postgraduate degree course “Risk Management. Models and Data Science for Finance, Insurance and Business” provides students with cutting-edge theoretical and practical skills to manage the main sources of risk characterising financial markets, insurance institutions, pension funds and companies.

The training programme is characterised by an interdisciplinary approach, which is essential in a globalised context, where managers able to analyse risk from different perspectives and suggest integrated solutions are needed.

Students acquire solid analytical tools and advanced methodologies for risk management, thanks to courses taught by both international academic lecturers and managers from financial, insurance and corporate institutions, and possible periods of corporate traineeship.

The postgraduate degree course is organised by the Department of Economics and Management of the University of Pisa, in collaboration with key Italian and international financial institutions, banks and pension funds.

Career opportunities

Graduates of the postgraduate degree course in Risk Management can find employment as risk managers, internal auditors and technical analysts in:

  • corporate institutions
  • international financial institutions
  • pension funds
  • insurance companies and banks

Fees

In person

Regular students:

6990 € payable in 4 instalments

  • 2796 € no later than 15 July 2025
  • 2445 € no later than 15 November 2025
  • 699 € no later than 15 December 2025
  • 1050 € no later than 15 January 2026

Auditors: 3400 € in a single installment

Tuition fee reductions are available for 4 students, awarded based on income and merit criteria.