Biomedical computing is a dynamic field of study that combines computer science with aspects of biology and medicine. Computer-assisted medical imaging technology plays a crucial role in modern clinical environments, as medical diagnosis and treatment are increasingly supported by imaging procedures. Consequently, there is a growing demand for specialists who are skilled in this particular field that lies at the intersection of computer science and medicine. The Master's in Biomedical Computing qualifies graduates for a range of exciting careers in research institutes or industry, in both theoretical and application-oriented fields.
The Master's in Biomedical Computing is taught in English over four semesters and is an interdisciplinary program involving the Department of Informatics and the TUM Medical School. The program bridges the gap between computer science and medicine, focusing on software and imaging-related solutions for computer-aided medical procedures. Topics covered include medical data acquisition and management, medical ontologies and physics of medical imaging, medical image processing, visualization, advanced user interfaces, and computer-aided medical solutions. Students participate in a mandatory clinical project and in medical courses delivered by experts from TUM Medical School. This provides a unique understanding of medical problems in imaging, interventions, and diagnosis. Students can also select related modules from the extensive range offered by TUM Informatics.
Students should hold a bachelor's degree in computer science, mathematics, physics, or electrical engineering (or a related subject). In addition, you will need to prove you have the following skills:
- A solid understanding of mathematics at an advanced level
- Knowledge of a modern programming language (e.g. C++, Java, Python, Fortran)
- Very good English language skills