Courses for Data-driven Health

New programme

This is a new programme opening for application on 15 October 2024. Some courses are not yet available in our course catalogue; hence, links are missing from the list below. The entire course content will be available by mid-November.

Year 1

Mandatory courses

• Introduction to Health Data, 3,5 credits
• Statistics for Biomedical Engineering (CM2018) 7.5 credits

• Databases and datamodels, 7.5 ECTS Credits

• Healthcare ethics, legal and social impact, 4 credits
• Health systems: production and logistics, 7.5 credits

• Applied machine learning and Artificial Intelligence (CM2011) 7.5 credits

• Sociocultural Perspectives to Innovative Technologies (CM2010) 7.5 credits

• Advanced machine learning for data-driven health, 7.5 credits

Recommended courses

• Project in data driven health, 7.5 credits

Year 2

Mandatory courses

• Research Methodology in Technology and Health, 3.5 credits

• Federated computing, privacy and security for health data, 4 credits

• Degree project, 30 credits

Recommended courses

• Project in data driven health, 15 credits

• Project in data driven health, advanced course, 7.5 credits

• Deep Learning Methods for Medical Image Analysis (CM2003) 7.5 credits

• Machine Learning and Data Science (EQ2415) 7.5 credits

• Scalable Machine Learning and Deep Learning (ID2223) 7.5 credits

• Cognitive Interaction Design (CH2010) 7.5 credits

• Applied GPU Programming (DD2360) 7.5 credits

MSc Data-driven Health

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