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1997 - 2019
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© TU München (TUM)
© TU München (TUM)
© TU München (TUM)

Why Biomedical Computing?

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 that are skilled in this very particular field at the intersection of computer science and medicine.

Hands-on Hospital Experience

Biomedical Computing focuses on bridging the gap between computer science and medicine. The possibilities for a clinical project and several newly created courses by the medical school provide students with a unique understanding of medical problems in imaging, interventions and diagnosis. Many events take place in the hospitals of our medical school to provide students with a proper insight into clinical routine. Only this understanding can foster innovative thinking from an engineering perspective.

Compiling your Study Plan

In Biomedical Computing we introduce a novel scheme for individual study counseling. Students are assigned to study advisors to discuss and approve their curriculum. The advisor has a counseling function and a meeting together with each student is required before lectures can be attended. Thus students are driven to select related courses from the extended offer of the Informatics department to enjoy their individually tailored but well focused study plan.


Biomedical Computing (BMC) is an international Master‘s program of the Technische Universität München that aims at motivated above-average students holding a Bachelor’s degree in informatics, mathematics, physics or electrical engineering. Focusing on biomedical image computing and computer assisted interventions, BMC allows students to get introduced to medical data acquisition and management, medical terminology as well as physics of medical imaging. Furthermore, students get familiarized with medical image processing, visualization, advanced user interfaces and computer aided medical solutions.


More than twelve professors from fields like medical data acquisition and management, physics of medical imaging, orthopedics and trauma surgery, medical image processing, visualization, advanced user interfaces and computer aided medical solutions guarantee an excellent education.

Program Overview

During the first semester, all students have to take mandatory fundamental medical science and technology courses. Remaining credits for the first semester are filled with complementary courses that depend on the students‘ previous education. Computer Science majors can choose from advanced courses in mathematics, whereas mathematics and physics majors can select from a set of computer science courses. In the second and third semesters, students are taking additional mandatory courses related to medicine and visual computing. Missing credits can be earned by attending courses from a list of general-interest lectures. Students can acquire practical experience by participating in lab courses and in a clinical project. The fourth semester is intended for the completion of the Master‘s thesis.


There is a multitude of job opportunities created by medical engineering companies and hospitals seeking skilled computer scientists. Graduates holding a Master‘s degree in Biomedical Computing can pursue a career in research institutes or industry, in both theoretical and application-oriented fields. To name just a few, typical topics to work on include: imaging technologies for medical diagnosis, computer aided navigation in treatment and surgery, software for radiation therapy and medical visualization techniques. Especially Munich and its surroundings offer a vast array of potential employers.

Duration of study: 4 semesters
Degree: Master of Science
Start: winter semester
Application deadline: winter semester 31. May
Application / Admission: Aptitude test, further information here >
Costs per Semester: student union fee + basic semester ticket fee = 117 € per semester.
Teaching language: English

Flyer Master Program >


Academic Advising:

Dr. Angelika Reiser, Vivija Simic
Tel. +49 89/289-17284, -17296

Website >

Technische Universität München
Fakultät für Informatik
Boltzmannstraße 3
85748 Garching

You can find further Information on the following Websites.
To the Website >
Augemented Reality in Medicine >