M.Sc. AI & Engineering for Medical Applications
Fact sheet
Graduation
Master, Master of Science (M.Sc.)
Taught language
Englisch
Specialization
Technologie
Program Emphasis
Artificial Intelligence, Data Science, Engineering, Medizin
Course options
Full-time study
Locations
Magdeburg
Contact
Contact person
Student Advisory
Student Advisory

- Specialized AI Training for Healthcare: Master AI applications tailored to medical technologies. Develop expertise in machine learning and data analytics to innovate healthcare solutions.
- Flexible Learning for Professionals: Balance your studies with your career through a fully online curriculum. Access course materials and lectures at your convenience.
- Global Networking Opportunities: Connect with a diverse cohort of professionals worldwide. Expand your professional network and gain international perspectives on management and innovation.
Requirements / Application
- Bachelor's degree in a relevant field (e.g., Medical Technologies, Electrical Engineering, Information Technology, Computer Science, or other closely related subjects)
- Proficiency in English at Level B2 or Equivelant
- An updated CV, An official copy of your university certificate, An academic transcript
- While we recommend at least one year of professional experience to fully benefit from the program, motivated candidates with strong academic backgrounds or relevant skills are also encouraged to apply.
- Advanced knowledge in Artificial Intelligence, Medical Technology, Mathematics, Programming, Machine Learning, and related disciplines
- Entry assessment can help demonstrate your readiness for the programme. This process is designed to be fair and accessible, and you’ll be guided every step of the way by the S-Next team. We’re here to help you succeed.
Tuition / Fees
*30% scholarship Limited time offer!
Duration of study
Career Perspective
- Medical AI Engineer
- Biomedical ML Scientist
- Digital-Health Product Manager
- AI Regulatory Affairs Specialist
- Healthcare AI Consultant
- PhD Researcher
Participants

- Recent graduate in engineering, computer science, biomedical science or a related STEM field, and eager to apply your skills to real-world health challenges.
- Professional in medical technology, healthcare IT, or clinical environments, looking to deepen your AI expertise and stay future-proof.
- Tech-minded problem-solver with a passion for healthcare innovation, digital transformation, and improving lives through data.
- Entrepreneur or intrapreneur 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.