Study modules for other degree programmes

The Master's Programme in Data Science offers several study modules to students of other programmes. Individual lecture courses can also be taken by other students.
Study modules offered in Curriculum period 2023-2026

In Curriculum period 2023-2026, the study modules offered to students of other programmes are the following:

  • An introductory module about data science, statistics, visualisation, databases etc.
  • Required background: good programming skills.
  • (The optional course "Bayesian inference" additionally requires studies in statistics and in mathematics.)

  • Introductory courses about artificial intelligence, data science, machine learning etc.
  • Required background: good programming skills.
  • Note that the optional course "Introduction to Machine Learning" additionally requires elementary probability theory and linear algebra as prerequisites.

  • A combination of the two introductory modules above.

  • A MSc-level module about core machine learning methods.
  • Required background: good programming skills, 5 credits in statistics and probability, 10 credits in mathematics (linear algebra, differential calculus and integral calculus).
Modules offered in Curriculum period 2020-2023

In Curriculum period 2020-2023, the programme offered five study modules to students of other programmes. Four of those modules were the same as in Curriculum period 2023-2026. In addition to them, the fifth module offered was the following: 

  • A MSc-level module about infrastructures for data science.
  • Required background: good programming skills. 

This module is not available anymore in Curriculum period 2023-2026.

More about the programme