This course offers you a rich blend of lectures, guest lectures from industry representatives, readings, exercises and cases in the area of corporate finance. You will cover topics such as corporate investment strategies, corporate governance, bankruptcy, equity offerings, and mergers and acquisitions, all while discussing state-of-the-art research methodologies. You will extend your theoretical framework as well as understand how these theories are implemented in the real business world.

This course provides you with a hands-on treatment of the field of market microstructure - the area of finance that studies price formation in securities markets.

In this course you expand your knowledge about regression analysis applied to finance topics, a powerful tool in empirical finance for analysing empirical relationships. You will review estimation and testing of the basic linear regression model and subsequently will focus on various applications and extensions of the basic model.

In this course you will be familiarised 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. Topics that will be covered are, e.g. programming basics, handling data, basics of risk management and derivatives pricing.

Choose 1 out of 2 courses: Advanced Investments or Derivatives.

In this course you will focus on the current statistical methodology used in empirical work and the practical implementation of data analysis using STATA. You will attend methodology lectures on how to use the university’s databases and tutorials in which you present and receive feedback on empirical group assignments. Also you will write a first thesis proposal.

This course prepares you for writing your Master's thesis. It brings you up-to-date knowledge and professional skills. Also, you will learn how to acquire a critical view on your own work and that of fellow students. In the course you will develop your thesis plan as well as learn to present, discuss and referee other’s work.

Choose 2 out of 3 courses: Behavioural Finance, Advanced Risk Management or Quantitative Finance and Algorithmic Trading.

Choose 1 out of 2 courses: Ethics and Professional Skills in Finance or Sustainable Finance.

The academic programme culminates in a thesis, which allows you to engage with state-of-the-art data analysis and statistical techniques. The Master’s thesis is the final requirement for your graduation. It is your chance to dive deep into a topic in your field of choice (track) that you are enthusiastic about, and allows you to do an independent research project in Finance. A professor of your track will supervise and support you in writing your thesis.