AI in Biomedicine Technical University of Munich

Artificial Intelligence (AI) is rapidly transforming medicine, from diagnostics and drug discovery to personalised treatment and healthcare delivery. AI supports innovation in medicine and biotechnology, accelerates the development of new therapies and medical devices, and contributes to sustainable improvements in healthcare systems. 

The Elite Master's programme AI in Biomedicine (AIBM) 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. AIBM is a research-oriented two-year graduate programme, 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 programme emphasises independent scientific thinking, methodological rigour, and the ability to contribute to the advancement of AI technologies in biomedicine.

The technical themes of the AIBM programme 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-Centred AI that enables personalisation 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.

The AIBM programme is designed as a two-year full time Master's programme (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 (MSc) in AI in Biomedicine with the special grade "with Honours".

Elite Network of Bavaria (Elitenetzwerk Bayern) and Friedrich-Alexander-Universität Erlangen-Nürnberg

The selection process is based on an aptitude assessment, which is a two-stage process designed to evaluate the applicants' suitability for the specific requirements of the Master's programme. 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:

• BSc in Electrical and Computer Engineering
• BSc in Computer Science

Please refer to this page for more details: https://www.tum.de/en/studies/fees.

For information on the cost of living in Germany, please refer to the following link:
https://www.daad.de/en/studying-in-germany/living-in-germany/finances

Many international students can have their fees waived or receive scholarships to finance them. You can find more information on waivers and scholarships here: 
https://www.tum.de/en/studies/fees/tuition/scholarships-and-waivers
https://www.tum.de/en/studies/fees-and-financial-aid/scholarships/.

TUM supports students and alumni throughout their lives in terms of job search, career entry, and career development in Germany and worldwide: https://www.community.tum.de/en/career-service/.

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For more information, see:
https://www.tum.de/en/studies/during-your-studies/living-and-working/accommodations