This Master's program takes an interdisciplinary engineering approach to healthcare, expanding the technical foundations you acquired during a technical Bachelor's degree and focusing on applying that knowledge in medical contexts. Building on prior training in engineering and the natural sciences, the curriculum provides advanced study across the core areas of medical systems engineering—especially medical technology, medical informatics, and medical physics—so you learn both theoretical concepts and their practical use in medicine.
Practical application is emphasised throughout the course: consolidation modules and project work let you tackle real clinical questions, while elective specialisations let you develop deeper expertise in areas such as medical imaging, neuroscience, medical interventions, and deep learning. Strong links with the Magdeburg University Hospital give students exceptional access to clinical environments—students may observe surgeries and everyday clinical routines, identify real problems, and work on solutions that support physicians and patients.
Entry requirements and expectations
The programme is organised modularly into required core modules and selectable specialisation modules. Most compulsory modules are taught in the first semester and are designed to give all students a solid grounding across the main areas of medical technology. In subsequent semesters you move into elective focus modules, allowing you to tailor your studies toward specific technical or clinical interests.
Students can choose from a wide range of specialisations that cover both hardware- and data-oriented aspects of medical systems. Options include medical imaging, radiation and medical physics, MR theory and engineering, mechanical- and flow-simulation for medical applications, medical visualisations and interventions, AI in image and signal processing, physiological and biological systems modelling, microsystems engineering and orthopaedic engineering. Together these modules prepare graduates to design, analyse and evaluate medical devices and systems, process and interpret biomedical signals and images, model physiological processes, and apply simulation and AI tools in clinical and research contexts.
There is also a research-oriented pathway ("Research Track") for students who want early, project-based research experience. In this track you can undertake a 15-credit research project starting from the second semester, carried out within universities, research institutions or industry projects. The university’s extensive cooperative network in medical technology supports these practical placements, offering opportunities to gain hands-on experience and to build contacts useful for research careers or industry employment.
Applicants should hold a relevant bachelor's degree (or an equivalent qualification) in a technical or medical-technical field and demonstrate solid academic performance. The program expects a minimum overall grade of "good" — up to 2.5 in the German grading scale — and a technical foundation shown by specific subject-area credit totals.
"CP" refers to ECTS credit points. If your degree was completed outside Germany, make sure your transcript clearly shows the ECTS-equivalent credits and the grading scheme so your qualification can be assessed against the requirements below.
Admission requirements (minimum)
Winter Semester (International)
Internationals: 15 December (starting from 15 October via uni-assist)Nationals: 15 March
Summer Semester (International)
15 December 2026
Summer Semester (EU/EEA)
15 March 2026
Graduates are prepared for technical and research roles in the medical technology sector, clinical engineering departments, hospitals and research institutions. Typical jobs include medical device development, imaging and signal processing engineer, clinical applications specialist, biomedical systems designer, and roles in AI-driven diagnostics or medical software development. The programme's clinical contacts and practical project opportunities also facilitate transitions into industry collaborations, product development teams, regulatory affairs and startups.
Graduates who wish to pursue academia can continue with research and PhD programmes, particularly in fields such as medical imaging, medical physics, computational modelling, and biomedical engineering. The Research Track and cooperative network support students aiming for research-oriented careers or positions in R&D departments of companies and research institutes.
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