Artificial Intelligence (AI) is rapidly transforming medicine, from diagnostics and drug discovery to personalized treatment and healthcare delivery. The Elite Master's Program AI in Biomedicine (AIBM) of the TU Munich bridges the gap between computer science, engineering, and medicine to train future generations of AI experts who combine deep technical expertise in cutting-edge AI techniques with domain knowledge about biomedical applications. Applications for the winter semester 26/27 are now possible until 31 May 2026.
AI supports innovation in medicine and biotechnology, accelerates the development of new therapies and medical devices, and contributes to sustainable improvements in healthcare systems.
AIBM is a research-oriented two-year graduate program, with an optional Research Excellence Certificate, offered at the Technical University of Munich in cooperation with Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). It is designed to prepare students for careers in academic research and high-impact industrial innovation. The program emphasizes independent scientific thinking, methodological rigor, and the ability to contribute to the advancement of AI technologies in biomedicine.
The AIBM program’s technical themes span the full landscape of AI, machine learning, data science, and related topics, such as
- Trustworthy AI that is accepted and adopted by clinicians, patients and citizens;
- Human-Centered AI that enables personalization and effective collaboration between humans and AI to improve healthcare outcomes;
- and Multi-Modal and Generative AI that leverages emerging capabilities of AI systems to learn from complex data and generate new, meaningful samples.
Key Data
- Professional Profile: Data Science and Artificial Intelligence (PP DSAI)
- Study Mode: Full-time
- Language of Instruction: English
- Duration of Studies: 4 Semesters
- Credits: 120 ECTS + optional 30 ECTS for Research Excellence Certificate
- Main Location: Garching
- Program Start: Winter Semester
- Costs: Semester Fees and Tuition Fees for Non-EU/EEA/Swiss
- Information on scholarships and waivers for international students can be found here: Scholarships and Waivers
How Is the Program Structured?
The AI in Biomedicine program is designed as a two-year full time Master's program (120 credits), with an optional Research Excellence Certificate (REC, additional 30 credits). Each academic year consists of two semesters.
The curriculum will be divided into four main topics: Foundations of AI courses offer knowledge about algorithmic and mathematical aspects of AI, while Applications of AI in Biomedicine and Healthcare courses introduce students to AI implementations in the medical and health sectors. Additionally, students will choose a Focus Subject to gain in-depth insights into foundations and/or applications of AI. Finally, the Cross-Cutting Themes topic enables students to gain skills in entrepreneurship & innovation, science communication, public and patient engagement. The curriculum is rounded off by the Master's thesis at TUM or FAU, or at one of our academic or industry partners.
Research Excellence Certificate (REC): Students can earn at least 30 credits in addition to the curriculum to graduate with the REC. For this, the students will select an additional Cross-Cutting Themes course, as well as a second focus subject with an additional elective course, an additional seminar and an additional research project. Students completing the additional REC (120 credits+ 30 credits) will be awarded a Master’s degree (M.Sc.) in AI in Biomedicine with the special grade "with Honours".
More details on the Degree Program Contents
Application
The selection process is based on an aptitude assessment, a two-stage process designed to evaluate the applicants' suitability for the specific requirements of the Master's program. Applicants are expected to have a sufficient background in areas such as mathematics, machine learning, and programming, and should hold or be on track to achieve one of the following qualifications or their equivalent:
- B.Sc. in Electrical and Computer Engineering
- B.Sc. in Computer Science
Application Timeline
- Submission Period: February 1 - May 31
- Interview Period: between May and September
- Interview Invitation Notification: at least a week's notice
More information on the application process, modules and mentoring etc. can be found here.