What the programme studies Medical informatics applies computational methods to the capture, management, storage, processing and provision of data, information and knowledge in medicine and healthcare. It is an interdisciplinary field that bridges computing with clinical and life‑science contexts to make medical data useful for diagnosis, treatment, research and health-system management.
What you will learn The MSc combines core computer‑science principles, concepts and methods with targeted teaching in human medicine and the natural sciences. Through this mix, you gain the technical foundations (data handling, modelling, software and systems) as well as the domain knowledge needed to design, implement and evaluate IT solutions for clinical and public‑health problems. The programme prepares graduates to collaborate closely with healthcare professionals to develop, apply and manage computational tools that address a wide range of medical questions.
Why this matters for international students The curriculum is structured so that, by choosing the appropriate English‑taught modules, you can complete the entire degree in English—making it accessible to internationals who do not speak German. The interdisciplinary training is useful for careers in hospitals, industry, research and public health, where professionals need both technical skills and an understanding of medical workflows and data.
Key programme requirements and expectations
This Master's curriculum brings together medicine, life sciences and computer science to prepare you for technical and research roles in healthcare. Core and advanced coursework covers foundational topics such as Biomedical Informatics and Computer Science, extends into applied areas like Medicine–Medical Technology, and deepens specialist knowledge with Advanced Medical Informatics and Advanced Bioinformatics. Practical, hands‑on experience is provided through a dedicated Research Practice in Medical Informatics course that links theory to real research or development projects.
Courses are designed to be complementary: medical and medical-technology modules supply clinical context and domain knowledge, computer-science modules provide the algorithms and software-engineering skills, and the advanced informatics and bioinformatics classes focus on applying computational methods to clinical and biological data. Together they aim to equip you to work at the interface of healthcare and information technology, whether in clinical research, industry or further academic study.
As an international student, expect a programme that emphasizes interdisciplinary communication and research competence. The research practice component gives you supervised experience in designing and executing a project, which is valuable for careers in research, product development or for continuing to PhD studies.
Key modules (programme components)
Typical learning outcomes
Applicants should hold an undergraduate degree in a directly relevant subject area. Suitable backgrounds include Medical Informatics, Computer Science, or Life Sciences; comparable bachelor-level qualifications from related disciplines may also be considered.
If your degree title differs, admissions will look at the content and level of your prior study to determine equivalence. International students whose qualifications are similar in scope and academic level to the listed degrees are encouraged to apply and to contact the admissions office for guidance on eligibility.
Winter Semester (International)
15 July 2026
Summer Semester (International)
15 January 2027
Winter Semester (EU/EEA)
15 September 2026
Summer Semester (EU/EEA)
15 March 2026
Graduates are prepared for roles designing, implementing and managing computational solutions in healthcare and medical research. Typical positions include medical/health informatician, clinical data scientist, health IT specialist, developer of clinical decision-support systems, and bioinformatics analyst in hospitals, health technology companies, medical device manufacturers, research institutes, and public health organisations.
The programme’s emphasis on applied research and close collaboration with healthcare professionals also provides a pathway to doctoral studies and research careers. The combination of computer science and medical domain knowledge enhances employability both in Germany and internationally, particularly in interdisciplinary teams working on digital health, electronic health records, and data-driven clinical applications.
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