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Research Methods for Data Science

Master’s level
7,5 credits (ECTS)


The following topics are covered in the course:

  • technical writing in data science, being practiced on a topic of free choice and on a research proposal
  • structuring a scientific text
  • communicating a topic to different audiences
  • theories on ethics, with examples from data science
  • identification and analysis of ethical and societal issues in data science
  • ethics and good practice in research and publishing

Prerequisites and selection


To be eligible to the course, the student should have a Bachelor's degree, and have successfully completed 15 credits of courses within the subject Data Science. Applicants must prove knowledge of English: English 6/English B or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.