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
- Introduction to Health Data (CM2031) 3,5 credits
- Statistics for Biomedical Engineering (CM2018) 7.5 credits
- Healthcare ethics, legal and social impact (CM2029) 4 credits
- Health systems: production and logistics (CM2030) 7.5 credits
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Applied machine learning and Artificial Intelligence (CM2011) 7.5 credits
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Sociocultural Perspectives to Innovative Technologies (CM2010) 7.5 credits
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Advanced machine learning for data-driven health (CM2026) 7.5 credits
Recommended courses
Year 2
Mandatory courses
- Research Methodology in Technology and Health (CM2035) 3,5 credits
- Federated computing, privacy and security for health data (CM2028) 4 credits
- Degree project, 30 credits
Recommended courses
- Project in data driven health (CM2034) 15 credits
- Project in data driven health, advanced course (CM2033) 7.5 credits
- Deep Learning Methods for Medical Image Analysis (CM2003) 7.5 credits
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Scalable Machine Learning and Deep Learning (ID2223) 7.5 credits