Teaching

Elite Master's programme

AI in Biomedicine

Our chair takes part in this Elite Master’s programme, with Prof. Daniel Rückert as programme speaker. A research-oriented two-year degree at TUM in cooperation with Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), it bridges computer science, engineering and medicine to train AI experts who pair technical depth with biomedical domain knowledge, and prepares them for academic research and industry.

An optional Research Excellence Certificate is available.

Programme website →

Degree
Master's, two years, research-oriented
Partners
TUM and FAU Erlangen-Nürnberg
Programme speaker
Prof. Daniel Rückert
Applications
February 1 – May 31, every year
Contact
app-msaibm.asa@xcit.tum.de

Courses

Teaching and education are an integral part of our institute’s mission. All of our courses—which are heavily influenced by our research—are taught in English. We offer lectures for students from various disciplines, but our core lectures are aimed at computer science students:

Winter semester 2026/27

Current
Practicals
IN2106 · IN4314
Lectures
Künstliche Intelligenz in der Medizin I
IN2403
Foundations of AI in Biomedicine — exclusively for AI in Biomedicine students
CIT423005
Multimodal AI in Medicine
CIT423009
Trustworthy AI for Medicine
CIT423007
Seminars
Research Skills and Methods — exclusively for AI in Biomedicine students
CIT422000
Master's Seminar: Large Language Models in Medicine
IN2107
Master's Seminar: AI Research in the Large Language Models Era
IN2107
Earlier semesters

Summer semester 2026

Practicals
IN2106 · IN4314
Lectures
Artificial Intelligence in Medicine II
IN2408
Seminars
IN2107
IN2107

Winter semester 2025/26

Practicals
IN2106 · IN4314
Lectures
Künstliche Intelligenz in der Medizin I
IN2403
Multi-modal AI in Medicine
CIT423009
Seminars
Trustworthy AI for Medicine
IN2107 · IN45048
IN2107 · IN45072

Practicals and seminars take the individual subject areas further, with students applying what they learn in direct contact with our lecturers.

For medical students we offer the elective Computer Science for Medical Students: AI methods, above all neural networks, and their use in medicine. Students learn the theory, write their first Python, and train a network of their own.

Work with us

Theses, internships and student positions

In addition to lectures, seminars, and internships, we offer a range of bachelor's, master's and IDP projects. All current openings are listed on the CIT thesis portal.

Browse our open projects →