About this minor

The profound impact of the financial sector on our daily lives has become increasingly evident, especially considering the significant developments of the last fifteen years. This has heightened the importance of not only understanding but also gaining insights into the financial world. Today, there is a pronounced demand for individuals skilled in interpreting financial mathematical models and applying them effectively to real-world market scenarios.

Stocks and bonds are central to the financial market. Companies issue stocks to gather funds for their investments. Meanwhile, investors, including pension funds, insurance companies, and private individuals, engage in stock investment, seeking profitable returns. Banks are not only participants in stock and option trading but also innovators in creating diverse financial products like options.

The Finance minor offers an opportunity to explore the nuances of these financial instruments. You will learn to evaluate their value and understand the intricate relationships among options, stocks, and bonds using mathematical tools. The ability to adeptly handle mathematical models, particularly in uncertain financial environments, is a skill with wide-ranging applications.

The curriculum of the Finance minor includes:

  • Option Valuation Methods
  • Time Series Analysis
  • Data Science in Finance
  • Introduction to Mathematical Finance
  • Principles of Asset Trading
  • Current Issues in Finance
  • Risk Management
  • Finance Clinic (office hour)

Together, these courses thoroughly equip you with the necessary skills and knowledge for expert navigation and analysis in the complex field of financial mathematics.

Learning outcomes

After successful completion of the minor program, the student:

  • is able to explain the workings of a number of financial products and the interaction between products in financial markets;
  • is familiar with methods to assess and control financial risk;
  • has acquired insight in the application of probabilistic and statistical methods in financial and economical problems;
  • has acquired skills to implement and interpret basic machine learning methods related to finance.

Good to know

Registration for this thematic minor is on a first-come, first-served basis and available places. (No lottery draw).

All (TU Delft) students, provided they possess the prerequisite skills and knowledge. Specifically required: probability and statistics at the level of TU Delft courses based on A modern introduction to probability and statistics by Dekking et al, or equivalent. Basic knowledge of and enthusiasm for mathematics as well as familiarity with Python or R is helpful (several courses require programming).

Student at Leiden University, TU Delft or Erasmus University Rotterdam?
Check the eligibility matrix to see if your bachelor’s degree programme offers access to this and other minors at

Student at another educational institution?
First read the whole registration procedure at

For information about the courses, visit the TU Delft study guide.
For additional information on this minor, visit the TU Delft minor page.

Teaching method and examination

Lectures, exercises, computer exercises, projects. Written and computer exams.

Check the detailed overview of courses, learning activities and study load at

Link to more information

  • Credits
    ECTS 30
  • Level
  • Contact coordinator
  • Selection minor
If anything remains unclear, please check the FAQ of TU Delft.
There are currently no offerings available for students of Leiden University