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SEI UNO STUDENTE ISCRITTO?
SEI UN DOCENTE O UN MEMBRO DELLO STAFF
EN
Registration deadline : 15 September 2027

Faculty of : ECONOMICS

Financial Engineering for Portfolio and Risk Management

Milano

Academic Year
2027/2028
Language
English
Typology
Specialising Master Level II
Attendance
Full time
Delivery Mode
Blended

Program

For info about the Program

The Master's program in Financial Engineering for Risk and Portfolio Management is made up of fundamental, core and advanced courses. At the beginning of the program, participants will be involved in a team building experience.

Team Building Activities

In each course students are required to gather in small team to develop tasks. The goal of team building activities is to help participants to get to know each other, create a collaborative atmosphere in class and develop those quantitate, computational and practical skills essential for the financial industry.

FUNDAMENTAL COURSES

The goal of basic courses is to provide a solid background, and reinforce competencies, in measure theory, algebra, optimization, functional analysis, probability, econometrics and computer science that are required to the soul courses of the Master’s Program in Financial Engineering. The basic courses are:

  • Python for developers
  • Advanced calculus and scientific computing for finance
  • Advanced econometrics, probabilistic machine learning and AI models for investment strategies
  • Measure theory and stochastic processes, calculus and optimization

The students will have the possibility to enhance their knowledge on methods and techniques that are essential in financial engineering.

CORE COURSES

The goal of core courses is to provide an overview of the financial markets and of the regulatory frameworks, as well as to introduce students to the standard models, methods, techniques and practices for quantitative investments strategies, risk management, statistical arbitrage, hedging and pricing and designing of financial instruments. The core courses are:

  • Asset allocation and quantitative risk and portfolio management
  • Regulatory framework of financial markets
  • Pricing of risks, assets and derivatives
  • Trading and quantitative arbitrage strategies

The students will have the opportunity to deepen their knowledge of financial markets, their regulatory frameworks, as well as the traditional quantitative models and methods essential in financial engineering.

ADVANCED COURSES

The goal of advanced courses is to build up competencies in specific fields of financial engineering, to provide participants with advanced knowledge about how to design probabilistic machine learning techniques, AI-tools and quantum algorithms for pricing and managing risks, to conduct quantitative trading, to construct systematic investment, arbitrage and hedging strategies tailored to specific financial products and to specific markets, including private, energy and commodity markets. The core courses are:

  • Fintech algorithms for exchange-traded products, portfolio construction and hedging
  • Private markets and innovation
  • Quantitative arbitrage and hedging strategies for commodities, natural resources and energy markets
  • Quantum information and quantum computing for finance

During the advanced courses, students will deepen their technical and quantitative skills, essential for operating in financial markets and trading innovative financial instruments. They will gain solid expertise in Fintech algorithms for exchange-traded products, portfolio construction, and hedging and arbitrage strategies, learning to design quantitative solutions tailored to specific markets: equity markets, bond markets, derivatives markets, money markets, commodities and energy markets, and forex.

A strong emphasis is placed on AI tools and probabilistic machine learning techniques, enabling students to develop sophisticated models for risk management and return optimization. The program also covers private markets and financial innovation, equipping students with the skills to identify and evaluate investment opportunities in non-traditional markets and emerging financial business models.

Finally, advanced courses explore quantum information and quantum computing applied to finance, introducing cutting-edge technologies that, thanks to their elevated computational capabilities, open new possibilities in quantitative finance, risk management, and portfolio management.

Throughout the program, industry speakers will demonstrate the tools and practices commonly used by professionals for risk and portfolio management, providing students with practical insights into current market standards and applications.

 

Italian Language Course

To work in Italy, and to fully appreciate the 'Italian' cultural atmosphere in our country, might require a basic knowledge of Italian. To support and help our participants, beginners’ Italian classes are available on request.