Master of Science in AI in Biomedicine
A research-oriented Master's programme bridging computer science, engineering, and medicine.
Best for:Best for students with a background in computer science or engineering who want to specialize in AI applications for the healthcare sector.
Overview
The AI in Biomedicine (AIBM) programme is a two-year, research-focused Master's degree offered by the Technical University of Munich in collaboration with Friedrich-Alexander-Universität Erlangen-Nürnberg. It is designed to train the next generation of experts who can apply advanced artificial intelligence techniques to complex biomedical challenges. Students gain deep technical knowledge in machine learning and data science while exploring their practical applications in healthcare, diagnostics, and biotechnology. The curriculum emphasizes methodological rigor, independent scientific thinking, and interdisciplinary collaboration. Graduates are prepared for high-impact careers in academic research or industrial innovation.
What you'll do
- Complete 120 credits of coursework covering AI foundations and biomedical applications.
- Select a focus subject to gain in-depth expertise in specific technical or medical domains.
- Engage in cross-cutting themes including entrepreneurship, science communication, and patient engagement.
- Conduct an independent Master's thesis project at TUM, FAU, or an industry partner.
- Participate in optional research projects to earn a Research Excellence Certificate.
Requirements
Degree required: BSc in Computer Science, Electrical and Computer Engineering, or equivalent.
Degree offered: Master of Science
Language: English; B2 level required (e.g., IELTS 6.5, TOEFL iBT 88, PTE 65, or C1 Advanced).
Instruction: English
- Strong background in mathematics
- Proficiency in machine learning
- Programming expertise
- Academic aptitude for research-oriented study
- Hold or be on track to complete a relevant Bachelor's degree.
- Successful completion of the two-stage aptitude assessment process.
Funding & terms
Programme and admissions
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How to apply
Deadline: 2027-05-31
Applications must be submitted through the official TUM online application portal. Candidates must undergo a two-stage aptitude assessment to evaluate their suitability for the programme.
- Academic transcripts
- English language proficiency certificate
- CV
- Letter of motivation
Contact
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