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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.

New programme

This is a new programme expected to open for application in October 2024. The courses on this page are preliminary. Check back when the application for a complete list of courses.

Year 1

Mandatory courses

  • Introduction to Health Data, 2,5 ECTS Credits
  • Statistics for Biomedical Engineering, 7,5 ECTS Credits

  • Databases, datamining, datamodels and datawarehouse for health 7.5 ECTS Credits

  • Healthcare ethics, legal and social impact, 5 ECTS Credits
  • Healthcare Logistics, 5 ECTS Credits
  • Applied machine learning and data mining, 7,5 ECTS Credits
  • Project in data driven health, 7,5 ECTS Credits
  • Sociocultural Perspectives to Innovative Technologies 7.5 ECTS Credits
  • Advanced machine learning for data-driven health 7.5 ECTS Credits

Year 2

Mandatory courses

  • Scientific methods in Technology and Health 3,5 ECTS Credits

  • Federated computing, privacy and security for health data 4 ECTS Credits

  • Project in data driven health, 15 ECTS Credits
  • Degree project, 30 ECTS Credits

Elective courses

  • Deep Learning Methods for Medical Image Analysis, 7.5 ECTS Credits
  • Machine Learning and Data Science, 7,5 ECTS Credits