Master of Science in Quantitative Finance

Master of Science in Quantitative Finance

Program of study: 
Master of Science in Quantitative Finance
Credits: 
120
Language of instruction: 
English
Study mode: 
Full-time
Associate Dean: 
Federico Gavazzoni
Candidate Profile

The globalisation and digitalisation of today's financial markets have led to increased international competition that requires a growing need for candidates with superior quantitative skills, a sound understanding of the industry, and good knowledge of financial theory. Our Master of Science in Quantitative Finance is designed to meet these needs by training highly motivated students on how to apply advanced quantitative and data science tools to pressing financial problems.

The courses will provide you with quantitative and programming skills focusing on numerical analysis, stochastic modelling, and data science. The comparative advantage of this programme is that you will be taught by scholars from one of the top Finance departments in Europe who will train you on how to apply financial theory correctly and responsibly to real-world problems.

The programme focuses on certain areas within finance such as asset and risk management, derivatives pricing, trading and hedging, fixed income, and long -term investing. These areas are crucial for tackling the growing challenges that arise from the sustainability transition, ageing population, and increased uncertainty.

Our Master of Science in Quantitative Finance is a cutting-edge programme that will equip successful candidates with special knowledge and skills that are in high demand in the international financial industry. As such, it will prepare you to pursue a career at the world’s top organisations and create value for our modern societies.

Learning outcome - Knowledge

With this program you will learn:

  • The role and value of finance in the modern global economy and society.
  • The fundamental principles, tools and concepts in finance.
  • Stochastic methods for pricing and hedging derivative instruments and other financial and real assets.
  • Advanced statistical and econometric methods and tools to analyse data and model risk.
  • Fundamental and advanced asset management and portfolio strategies.
  • Gain an international perspective and a broad overview of the financial industry.
Learning outcome - Skills

Upon completing the programme, you will be able to:

  • Structure, model, validate, analyse and visualize various types of data.
  • Model and analyze risk using advanced statistical and numerical methods, and manage risk using static and dynamic strategies.
  • Apply and develop models for pricing and hedging financial instruments.
  • Develop and implement asset management strategies, involving equities, bonds and derivatives. 
Learning outcome - General Competence

Upon completing the programme, you will gain the competence to:

  • Combine advanced analytical and digital methods in quantitatively analysing various problems, informing decisions and carrying out independent research.
  • Face challenges using innovative analytical and quantitative approaches, through independent critical thinking and the ability to perform under pressure, work in teams and adapt to changes.
Course models
Master of Science in Quantitative Finance
Information

In the 3rd semester, students can do an Internship (6 ECTS) and one specialisation elective, or choose two specialisation electives (6+6 ECTS), or go on Exchange for one semester (24 ECTS).

The Internship period is typically 8 weeks in May-August in the 2nd semester (spring). Exam is in the following 3rd semester (autumn).

It is possible to apply for summer schools courses abroad to replace electives.

Please be aware that the study plan and courses can be subject to change.

Approved in the Programme Committee
Monday, October 30, 2023