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.
The Master's degree program in Biomedical Computing aims to provide the required education by pursuing an interdisciplinary approach, involving the faculty of computer science and the medical school at Technische Universität München (TUM).
The topics covered in the modules of the master's program include the following: Medical data acquisition and management, medical ontologies and physics of medical imaging, medical image processing, visualization, advanced user interfaces and computer aided medical solutions.
Interdisciplinarity. The Master's program in Biomedical Computing focuses on bridging the gap between computer science and medicine. Students are participating in a mandatory clinical project and dedicated medical courses, provided by experts from the Medical School of TUM. This enables the students to gain a unique understanding of medical problems in imaging, interventions and diagnosis.
Variety of Expertise. The Master's program in Biomedical Computing is open to Bachelors from the related disciplines of Mathematics, Electrical Engineering and Physics, thus creating the opportunity to benefit from different views and to exchange approaches for solving problems related to biomedical engineering. Students from each discipline, also Computer Science bachelors, are getting individual starting courses (so-called complementary courses), which provide the necessary synchronization of knowledge to create experts in the highly interdisciplinary field of biomedical image computing and computer assisted interventions.
Strong Focus. Students are provided with a set of courses that best fit typical professional requirements in the field of biomedical imaging and computer assisted interventions. Besides the courses designed specifically for the Biomedical Computing master's program, students are driven to select related courses from the extended offer of the Computer Science department.
Students can enter the Master's degree program in Biomedical Computing each winter semester, beginning 2009/10. In total, 120 ECTS credits are required to complete the degree program, evenly distributed across four semesters.
There are three main building blocks that structure the Master program's syllabus:
- mandatory courses in medical fundamentals,
- mandatory electives in visual computing and
- additional elective courses.
During the first semester, all students have to take mandatory fundamental medical science and technology courses worth of 20 credits. The remaining 10 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 medical fun-damentals and electives in 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 internship. The fourth semester is intended for the preparation of the Master's Thesis.
There is a multitude of job opportunities created by medical engineering companies and hospitals seeking skilled computer scientists. Exemplary companies include Philips, Siemens, GE, BrainLAB, TomTec, Definiens and Zeiss. Graduates holding a Master's degree in Biomedical Image Computing and Computer Assisted Interventions from TUM 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 surgeries, software for radiation treatment appli-ances and medical visualization techniques. Munich and its surroundings offer a vast array of potential em-ployers.
From an academic point of view, the target journals of experts in biomedical imaging and computer assisted interventions repeatedly have the highest impact factors in the Computer Science community, which clearly reveals a continuous demand for researchers in this field.Regular Duration of Studies:
4 SemestersBeginning of Studies:
Winter Terms onlyApplication Deadline:
...You should prepare the following documents for submitting your application:
- a written description (cover letter) of approx. 1-2 DIN A-4 pages, addressing the choice of this Master's program and the particular skills and interests of the applicant that make her/him most suitable for this master program
- an essay of max. 1000 words written in English on a specific topic ,
- a signed affirmation in which the applicant states that she/he composed the cover letter and the essay without external help and highlighted all external thoughts (citations) in the text,
- a résumé (short curriculum vitae, CV).