The second-level Master’s in Financial Engineering for Portfolio and Risk Management trains highly qualified professionals in the financial sector, equipping them with advanced quantitative and computer science skills that are increasingly in demand to tackle the challenges of global financial markets. The curriculum emphasizes models, methods, and algorithms, ranging from classical approaches to those integrating artificial intelligence and quantum computing, for pricing financial instruments, conducting statistical arbitrage, developing trading strategies, and managing portfolios, risk, and wealth quantitatively, with a focus on financial, commodity, and energy markets.
The program also explores engineering, mathematical, and computer science techniques for designing, developing, and implementing new financial products and investment strategies, such as those employed in the active management of exchange-traded products. In addition, it covers regulatory aspects related to these activities.
Graduates of the Master’s program will be prepared to assume leadership roles in investment, portfolio, asset, risk, and wealth management, as well as positions such as hedge-fund manager, quantitative developer, quant trader, financial analyst, strategic consultant, financial data scientist, quantitative trader, model validation analyst, and structured products specialist.
Key facts
July 15th, 2026: Early Bird Scholarship Deadline
September 15th, 2026: Final Application Deadline
- € 7,900
- € 5,900: Early Bird by July 15th, 2026
Duration: 1 year Full time program.
Number of participants: 30
Classes start: 2nd of November, 2026
Campus: Milan
Taught in: English
Requirements & Career prospects
- Master’s Degree Science in Economics, Finance, Management, Mathematics, Statistics, Physics, Engineering, or Computer Science. The program is also open to students who expect to complete their degree by the final session of the 2025/2026 academic year (March–April 2027).
- Excellent command of the English language
The Master’s degree in Financial Engineering for Risk and Portfolio Management opens up professional opportunities in a wide range of fields, including:
- Asset and Risk Management
- Hedge Fund Management
- AI-powered Quantitative Investment
- Algorithmic and Systematic Trading
- Quantitative Wealth Management, Private Equity and Innovation
- Quantitative Finance and AI Quantitative Development
- Probabilistic Machine Learning Engineering
- AI-driven FinTech and QuantTech
- Designing and Trading of Structured Products
- Computational Finance and Quantum Computing