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Computer Science: Applied Data Science, Master's Program (Two-Year)

The course contains the following elements:

The course focuses on how modern information technology and data processing gives rise to new kinds of ethical dilemmas. The course uses case studies to convey principles and guidelines for managing:

- Data quality
- Data integrity and responsible management of sensitive data (e.g. GDPR, consent)
- Data security (including data ownership, block chain techniques, threats and risk analysis)
- Data-driven and evidence-based decision making
- Neutrality, transparency, reliability, accountability and personal self-determination in a data-driven society.
- Interpretability in machine learning models
- Susceptibility to bias and discrimination as a potential effect of information systems replacing manual processing
- Ethical perspective on data science

Syllabus - here you can also find course literature

Earlier syllabuses

The University provides students who are taking or have completed a course with the opportunity to share their experiences of and opinions about the course in the form of a course evaluation that is arranged by the University. The University compiles the course evaluations and notifies the results and any decisions regarding actions brought about by the course evaluations. The results shall be kept available for the students. (HF 1:14).