The Master in Finance is held in English and aims to train professionals capable of undertaking highly qualified jobs in the financial sector at an international level.

Graduates will be able to develop and master specific skills in quantitative finance, with particular focus on portfolio management, risk measurement and mitigation, derivatives valuation, and data analysis and modeling.

The study program includes courses in econometrics, economics, mathematics, probability and stochastic calculus, statistics, coding (Matlab and Python), and data analysis, with an emphasis on machine learning methods. In addition to a solid theoretical foundation, graduates will develop applied skills to meet the needs of a sector that is becoming increasingly technological.

The courses are taught by professors from the Departments of Economics and Management, Physics, and Mathematics.

STUDY PLAN

Asset Pricing and Macroeconomics; Capital Markets and EU Company Law; Econometrics; Economic Models; Financial Econometrics; Firm Valuation and Capital Market Instruments; Laboratory on Financial and Ethical Behaviour; Portfolio Theory; Probability and Stochastic Processes; Quantitative Finance; Real Analysis; Statistics for Finance; Topics in Portfolio Management; two elective courses (recommended: Advanced Quantitative Finance, Algorithms for Optimization, Computational Methods); Final project.