Boost your talent and become a recognized developer of biomedical technologies. Gain confidence in designing electronic devices, understand the fundamental principles of medical imaging and enjoy practical experience in biology laboratories. Make yourself proud by understanding artificial intelligence, medical physics, cellular engineering and more! Satisfy your desire for biology, engineering and applied physics in fully equipped state-of-the-art laboratories.
When you graduate, you will be a respected specialist in science, industry and health care. Biomedical graduates guarantee cardiostimulators setting, analyse images from computer tomographs, develop therapeutic technologies and diagnostic software. You can also dedicate your research ambitions to working in centers of excellence or go for doctoral degree and share your passion at international conferences.
In a case of the Double Degree, students are studying their second year at the University of Applied Sciences Vienna.
Master technology for modern medicine
-
3 study fields
medical physics, signal analysis, medical devices
-
4 job areas
Academia, Industry, Healthcare, Environment
-
> 2 MEURO
spent on lab equipment you will work with
-
54 years
of experience in teaching of medical technology
1st year of study
Required courses
- Analysis of Biomedical Images (en)
- Digital Technics in Bioengineering (en)
- Biosystem diagnostics (en)
- Cardiac diagnostics (en)
- Machine Learning (en)
- Computer-Aided Medical Diagnostics (en)
- Acquisition Systems (en)
- Multidimensional Analysis of Biomedical Data (en)
- Imaging Systems with Nonionizeing Radiation (en)
- Safety of Electrical Devices (en)
- Methodology of Scientific Work (en)
Required optional course
- Differential Equations in Electrical Engineering (en)
- Solid State Physics (en)
- Plasma Physics and Diagnostics (en)
- Quantum and Laser Electronics (en)
- Materials for biomedical applications (en)
- Electromagnetic Field Modeling (en)
- Modern Physics (en)
- Nanotechnology (en)
- Non-Destructive Diagnostics and Physics of Dielectrics (en)
- Probability, Statistics and Operations Research (en)