Quantitative Finance

Profile of MSc Finance

The Quantitative Finance profile focuses on the application of advanced mathematical, statistical, and computational methods to solve complex financial problems.

You will learn how to design and analyze financial models, optimize investment strategies, and pricing of complex derivatives. Real-world applications include:

algorithmic trading,
portfolio opimization,
risk management.

These tools drive innovation, efficiency, and decision-making in modern financial markets.

Course list

All MSc Finance students will take the following mandatory courses:

Advanced corporate finance
Portfolio theory
Research methods for finance

If you follow the Quantitative Finance profile, you will take three additional mandatory courses:

Derivative instruments
Asset pricing
Computational finance

Beyond these requirements, you can tailor your studies by selecting from a wide range of elective courses. To round off your programme, you will write an individual thesis on a topic of your choice within your chosen profile, allowing you to dive deeper into an area that matches your interests and career goals. You can find a full list of courses that make up this profile here.

After your studies

If you join the Quantitative Finance profile, you will acquire advanced knowledge about how statistical and quantitative methods are used to analyze financial markets and securities and how these are used to produce robust investment strategies. Some career possibilities include (but are not limited to):

Investment banks: building models for pricing derivatives or structuring products.
Trading firms: developing algorithms for high-frequency trading.
Risk management departments: analyzing and mitigating financial risks.
FinTech companies: leveraging AI and machine learning for innovative financial solutions.

Take me back to the MSc Finance page

Last modified:

28 January 2025 1.48 p.m.