This research-focused Master's programme is aimed at students who want to investigate biological questions using quantitative and computational methods. Taught in English, it prepares graduates for careers in academic research, industry, or other data-centred roles across the life sciences by blending hands-on laboratory work with modern computational approaches.
The curriculum brings together advanced experimental work at the interface of life sciences and chemistry with data science and digital innovation. Students experience a mix of bioscience, chemistry and computational training, reflecting the rising importance of AI and big data in biological research. The programme emphasises personalised mentorship, early laboratory rotations, and access to real-world research settings, enabling close collaboration with experienced researchers and contribution to publishable projects that help shape an individual research profile.
A multidisciplinary faculty supports training in both technical and transferable skills, including science communication and research commercialisation, so graduates are equipped to assume leadership roles in academia or industry. The structure and research emphasis make this degree a strong foundation for further academic study or for technical and data-driven positions within the broader life-science sector.
Typical application components (confirm exact requirements on the programme website):
To apply you will need to submit a compact application package that demonstrates your academic background, motivation for the program, and English language ability. The core items are a motivation letter, a CV, official university transcripts in either English or German, proof of a completed bachelor’s degree (or equivalent), two recommendation letters, and evidence of English proficiency.
If your official transcripts are in a language other than English or German, check the program page for whether a certified translation is required. Note that the bachelor’s degree certificate can be handed in later if it is not yet available at the time of application. References may come from university instructors or from professional supervisors—choose referees who can speak to your academic potential and/or relevant practical experience.
Be sure your motivation letter clearly explains your background, reasons for choosing this master’s track, and your academic or career goals. For the English test, consult the program information for which exams and minimum scores are accepted.
Winter Semester (International)
1 June 2026
Winter Semester (EU/EEA)
31 July 2026
Graduates are prepared for academic research paths (including progression to PhD programmes), as well as for roles in industry where quantitative and data-driven biology is central. Typical career destinations include research scientist positions in biotech and pharmaceutical companies, data scientist roles in life-science industries, and translational or commercialisation-focused positions.
The programme's combination of hands-on laboratory experience, computational training, and instruction in research communication and commercialisation also equips alumni for leadership roles in interdisciplinary teams or for entrepreneurial ventures that translate research into applied technologies.