Modules for other degree programmes
The Master's Programme in Data Science offers the following modules to students of other programmes in the curriculum period 2020-2023. Individual lecture courses can also be taken by other students.

DATA90001 Basics of Data Science for other programmes (15-25 cr)

  • 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.)

DATA90002 Basics of Artificial Intelligence for other programmes (15 cr) 

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

DATA90003 Basics of Data Science and Artificial Intelligence for other programmes (25-35 cr) 

  • A combination of the two introductory modules above.

DATA90004 Machine Learning for other programmes (15 cr)

  • An 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).

DATA90005 Data Science Infrastructures for other programmes (15 cr)

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