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Quantitative Finance (MSc Finance)

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The Quantitative Finance track is for students with strong analytical skills and an interest in (big) data analysis and applications in finance. This track is one of 7 tracks you can opt for in our Master's in Finance.

Help develop the role of big data in finance

In many disciplines of finance, the use of quantitative tools is rapidly rising. So experts with a deep knowledge of quantative finance and data science are in high demand. In the Quantative Finance track we prepare you to become fluent in performing data driven analyses, for example in complex risk modelling for regulatory regimes like Basel III. Also, you will learn how to manage big data in other finance disciplines such as risk management, asset management and investment banking.

Do you have a mind for mathematics and an interest for data driven analysis applied to financial decision making? This may well be the track for you.

Why choose the Quantitative Finance track?

  1. Beside the 6 general courses of the MSc Finance in your curriculum, you will have 3 courses with focus on data-driven analyses and managing big data in finance.
  2. You will be lectured by professors and experts working in a wide range of financial organisations and fields. Therefore, you have access to up-to-date cases and learnings from the field of quantitative finance.
  3. After graduation, you have an excellent job prospect as e.g. all-round financial or business analyst, investment advisor, portfolio manager, derivatives trader, risk manager or business analyst at a fin-tech start-up.

Track-specific courses

Apart from the 6 general courses of the full programme, you will follow 3 track-specific courses and electives.

  • Computational Finance

    In this course we will familiarise you with the Python programming language and its ecosystem. You will be able to use this knowledge to solve problems in risk management and derivatives pricing. The following topics will be covered, along with their implementation in Python:

    • programming basics (control flow, data types, the Python ecosystem);
    • handling data (obtaining data, data-frames, regressions, plotting);
    • basics of risk management (Value at Risk);
    • derivatives pricing (binomial trees, Monte Carlo simulation, model calibration);
    • advanced topics in derivative pricing.
  • Electives, semester 2

    Choose 2 out of 3 courses:

    • Behavioural Finance
    • Advanced Risk Management
    • Quantitative Finance and Algorithmic Trading

Real-life cases 

As part of the programme you will work on real life business cases. Our student Coen Binnerts can tell you more about some of these cases in his podcast.

Contemporary issues

  • Quantitative trading funds are constantly searching for opportunities to profit from security mispricing and each positive 'alpha'. How can investors distinguish between strategies that genuinely outperform the market versus those that are exposed to rare, but massive hidden risks?
  • Basel IV: What are the challenges for market risk measurement and risk management? Which new tools are needed to implement the new standards?
  • What role does computer programming play in asset management and risk management? Can the latest advances in machine learning improve investment strategies? You learn the necessary to compete in the world of quantitative finance.

Career prospects

Graduates of the Master's in Finance/Quantitative Finance track have excellent job prospects for positions as investment banker, all-round financial or business analyst, investment advisor, portfolio manager, derivatives trader, treasurer and financial director, risk manager, business analyst with financial institutions or fin-tech start-ups, quantitative asset manager or hedge fund manager at Dutch and international companies, such as:

  • Optiver
  • Rabobank
  • ING
  • Ortec
Facts & Figures
Degree programme MSc
Mode Full-time
Credits 60 ECTS ECTS, 12 months
Language of instruction English
Accreditation EQUIS, AACSB
Starts in September
CROHO code 60046