Zur Unterstützung einer inhaltlich kohärenten Auswahl aus den in den Prüfungsfächern definierten Modulen stehen fünf Schwerpunktbereiche zur Verfügung, welche die Module der Prüfungsfächer kombinieren. Studierende müssen einen Schwerpunkt wählen und Lehrveranstaltungen im Umfang von mind. 24 ECTS aus den in diesem Schwerpunkt aufgeführten Modulen absolvieren. Die Module ohne Stern (*) vermitteln die Grundlagen innerhalb eines Schwerpunkts, daher wird empfohlen, diese zuerst zu absolvieren.
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