The Master's Programme in Medical Informatics takes a total of four semesters and 80semester hours.
A majority of these hours consists of mandatory modules and core topic combinations. In addition, the students choose electives to deepen their knowledge and finally they dedicate themselves to their thesis, which also needs to be defended orally.
In the core subject combinations, students can complete projects instead of the mandatory courses required by the curriculum. The coordinator for the corresponding core subject combination will then act as advisor for the project.
The Programme Structure at a Glance
Basics - Databases, Networking and Evaluation Systems
- Medical Databases
- Networking of the Healthcare System
- Information Retrieval and Information Extraction
Interdisciplinary Informatics - Intelligent Data Analysis
- Syntactical and Statistical Pattern Recognition
- Machine Learning and Neural Computation
Knowledge-Based Systems
- Knowledge-Based Systems
- Formal Logic and Fuzzy Systems
Advanced Software Engineering
Core Subject Combinations
Block on Bioinformatics
- Introduction to Bioinformatics
Block on Neuroinformatics
- Introduction to Neuroscience
Block on Clinical Informatics
- Simulation models: Clinical and Research Examples
- Visualisation of Medical Data
Block on Public Health
- Public Health Policy
- Healthcare Management
Basics - Semantic Technology and Interfaces
- Taxonomy and Ontology
- Text Mining
- Man-Machine Interfaces
Field of Application - Statistics for Medical Information Scientists
- Introduction to Biostatistics
- Planning and Execution of Medical Studies
Field of Application - Medicine for Medical Information Scientists
- Methods of Medicine
- Telemedicine
Field of Application - Systems Analysis, Image and Signal Processing
- Systems Analysis, Modelling and Simulation
- Image Processing in Medicine
- Clinical Signal Processing
Core Subject Combinations
Block on Bioinformatics
- Applied Bioinformatics
- Extended Fundamentals of Bioinformatics
- Bioinformatics Internship
Block on Neuroinformatics
- Introduction to Neuroinformatics
- Simulation models: Clinical and Research Examples
- Advanced Medical Imaging
- Functional Magnetic Resonance Imaging
- EEG Signals Analysis
Block on Clinical Informatics
- Interdisciplinary Clinical Informatics
- Advanced Medical Imaging
- Clinical Use of Biomedical Technology
- Hospital Information Systems
- Decision Support, Diagnosis and Therapy Planning
Block on Public Health
- Epidemiology
- Special Methods of Biostatistics
- Hospital Information Systems
- Decision Support, Diagnosis and Therapy Planning
- Thesis Seminar
- Master's Thesis