- Degree
- Master of Science (MSc)
- Course location
- Magdeburg
- Teaching language
- • English
- Languages
- The courses are held in English. German language courses are offered alongside the degree programme, as graduates have the career option of joining regional companies in the medical technology industry.
- Full-time / part-time
- • full-time
- Mode of study
- Hybrid
- Programme duration
- 4 semesters
- Beginning
- Winter semester
- Additional information on beginning, duration and mode of study
- Partly self-paced
Material is always available and students progress at their own speed, but consultations are provided assuming certain progress as well as lab courses.
- Application deadline
- 15 July
- Tuition fees per semester in EUR
- 4,165 EUR
- Additional information on tuition fees
- This hybrid Master's programme is tuition-based. The total tuition is 23,800 EUR, but a 30% scholarship reduces the fee to 16, 660. The scholarship is available for applications submitted until 15 July 2026.
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- Foundation Modules
• High Frequency Technology
• Circuit Technology for Medicine
• Radiation Physics and Radiation Protection
• Anatomy
• AI Basics
• AI Applications
• Sensor and Measurement Technology
• Medical Imaging
• Optimisation in Medical Imaging and QA
• IT Hardware
• Regulatory Affairs Ethics of AI and Technology
What will you learn?
• High frequency technology and circuit technology for medical applications
• Optimisation and quality assurance, medical imaging, regulatory affairs and AI in medical devices
• MRT and MRT development, CT and CT development, sensors and sensor development
• Develop expertise in implementing AI-driven solutions for diagnostics, patient care, and healthcare data management to enhance clinical outcomes and revolutionise medical workflows
Who is it for?
• Recent graduates in engineering, computer science, biomedical science or a related STEM field, eager to apply their skills to real-world health challenges
• One year job experience required
• Professionals in medical technology, healthcare IT, or clinical environments looking to deepen their AI expertise and stay future-proof
• Tech-minded problem-solvers with a passion for healthcare innovation, digital transformation, and improving lives through data
• Entrepreneurs or intrapreneurs exploring opportunities in digital health, SaMD development, or AI-driven diagnostics
• Candidates who excel in problem-solving and collaboration, poised to lead cutting-edge projects at the intersection of AI and medicine