Medical Informatics
Medical Informatics
Specialisation
If you have any questions about the courses currently offered in Medical Informatics (see below), please contact the advisors for this specialisation.
Contents
Contents
Advancing digitalisation is permeating more and more areas of our lives. The use of innovative, digital solutions is also advancing in healthcare. Medical documentation is becoming increasingly digitalised, health-related data is being generated in large quantities in a variety of places thanks to new technologies, including portable ones, and intelligent data analysis methods are increasingly enabling the computer-based detection of critical values and the implementation of personalised therapies.
Digital technologies can make a valuable contribution to improving healthcare, but are also changing medical work in healthcare and research. As a result, there is a growing need for highly qualified specialists who are available to develop, use and support these medical information technologies and methods.
The"Medical Computing Science" specialisation teaches the skills required to use the methods and tools of Computing Science in the medical domain. This includes the ability to access, process, store and provide medical data and information as well as the targeted development and implementation of innovative technologies and (software) systems to improve healthcare. You will continuously learn how to deal with the special challenges in this sensitive, interdisciplinary field of application.
The specialisation offers a future-proof foundation for academic appointments in the healthcare sector, in medical-technical research and in the medical and healthcare industry in the private sector.
Study requirements
To obtain certification for the specialisation in Medical Computing Science, students must take modules worth at least 18 CP from the compulsory catalogue. Modules amounting to at least 12 CP must be taken from the elective catalogue. Furthermore, the Master's thesis and the project group should be thematically related to Medical Computing Science.
Module selection
Compulsory: Modules from the following list totalling at least 18 CP must be taken
Module | Module name | CP |
inf524 | Medical Basics | 6 |
inf525 | Medical Computing Science I | 6 |
inf526 | Medical Computing Science II | 6 |
inf527 | Big Data Analytics and Clinical Decision Support | 6 |
inf5403 | Medical data analysis with deep learning | 6 |
inf588 | Special Topics in Medical Computing Science I or Special Topics in Medical Computing Science II | 6 |
inf559 | 6 | |
inf590 | Current Topics in Medical Computing Science or Current topics of machine learning in (bio)medicine | 3 |
inf5452 | 3 |
Accent elective/non-Computing Science elective: Modules from the following list totalling at least 12 CP must be taken
Module | Module name | CP | |
inf100 | Human-machine interaction | 6 | |
inf108 | Requirements Engineering and Management | 6 | |
inf210 | Signal and image processing | 6 | |
inf305 | Medical Technology | 6 | |
inf307 | Robotics | 6 | |
inf535 | Computional Intelligence II | 6 | |
inf538 | Management of IT Services | 6 | |
inf540 | Data Challenge | 6 | |
inf852 | IT project management | 6 | |
we860 | Data protection law | 6 | |
inf5402 | Trusted machine learning | 6 |
|
inf5404 | Applied Deep Learning in PyTorch | 6 |
Contact persons
- Prof. Dr Antje Wulff (certificate)
- Prof Dr Susanne Boll
- Prof Dr Andreas Hein
- Prof Dr Nils Strodthoff