AI in Biomedicine

Technical University of Munich · Munich, Germany

Level
Master's
Award
Master of Science
Language
English
Duration
4 semesters
Study mode
Full-time
Campus
Garching b. München
Apply by
Register by 31 May 2027
Starts
Winter semester
Tuition
€12,000

Entry requirements and how to apply

Entry requirements
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
English language requirement
B2 required, please provide an official language certificate, e.g.: PTE Academic: 65 TOEFL iBT (before 2026): 88 Cambridge English Qualifications: C1 Advanced IELTS Academic: 6.5
German language requirement
No minimum language level required
Application period
The following is valid for applicants from: all countries 1 February - 31 May
Apply through
Please check this website .

About this programme

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

Related pages

Other degree programmes at Technical University of Munich