Specialisations in the Master's Degree Programme in Medical Informatics
To support a thematically coherent selection from the modules defined in the examination subjects, five specialisations are available, combining modules from the examination subjects. Students must choose one area of specialisation and complete courses amounting to at least 24 ECTS credits from the modules listed in that area of specialisation. The modules without an asterisk (*) provide the foundations within an area of specialisation; it is therefore recommended that these be completed first.
Bioinformatics
- Bioinformatics
- Introduction to Molecular Biology
- Advanced Machine Learning in Healthcare
- Medical Visualization and Visual Analytics
- ML in Medical Imaging and Precision Medicine
- Modeling and Simulation for Medical Informatics
Neuroinformatics
- Introduction to Neuroscience
- Neuroinformatics
- Advanced Machine Learning in Healthcare
- Medical Signal Processing and Imaging
- Computational Neuroscience
- Medical Visualization and Visual Analytics
- ML in Medical Imaging and Precision Medicine
Public Health Informatics
- Methodological Foundations of Public Health Informatics
- Public Health Policy and Healthcare Management
- Advanced Machine Learning in Healthcare
- Data Stewardship
- Generative AI, General AI
- Modeling and Simulation for Medical Informatics
- Standardized Health Information Management
Mobile Health, Wearable, and Assistive Technologies
- Assistive Technologies
- Wellbeing Technologies
- Artifact-based Design
- Prosthetics and Control Theory
- Responsible Digital Ethics
- Standardized Health Information Management
AI and Analytics in Clinical Decision Making
- Medical Visualization and Visual Analytics
- ML in Medical Imaging and Precision Medicine
- Advanced Machine Learning in Healthcare
- AI Ethics
- Medical Signal Processing and Imaging
- Generative AI, General AI
- Human-Centered AI
- Logic-based Artificial Intelligence