Courses for Data-driven Health
The two-year master's programme in Data-driven Health consists of three terms of courses and one final term dedicated to the master's degree project. Each term consist of approximately 30 ECTS credits. The courses presented on this page apply to studies starting in autumn 2025.
Year 1
Mandatory courses
- Sociocultural Perspectives to Innovative Technologies (CM2010) 7.5 credits
- Applied Machine Learning and Artificial Intelligence (CM2011) 7.5 credits
- Statistics for Medical Engineering (CM2018) 7.5 credits
- Advanced Machine Learning for Data-driven-Health (CM2026) 7.5 credits
- Databases and Data Models (CM2027) 7.5 credits
- Healthcare Ethics, Legal and Social Impact (CM2029) 4.0 credits
- Health Systems: Production and Logistics (CM2030) 7.5 credits
- Introduction to Health Data (CM2031) 3.5 credits
Recommended courses
Year 2
Mandatory courses
Recommended courses
- Cognitive Interaction Design (CH2010) 7.5 credits
- Deep Learning Methods for Medical Image Analysis: a hands-on course (CM2003) 7.5 credits
- Project in Data-driven Health, advanced course (CM2033) 7.5 credits
- Project in Data-driven Health, continuation course (CM2034) 15.0 credits
- Applied GPU Programming (DD2360) 7.5 credits
- Machine Learning and Data Science (EQ2415) 7.5 credits
- Scalable Machine Learning and Deep Learning (ID2223) 7.5 credits