Life Science Informatics focuses on the computational handling and interpretation of next‑generation sequencing (NGS) data produced by sequencing the genetic material of humans, animals or plants. By turning raw sequencing reads into biologically meaningful results, researchers can identify genes and molecular markers that predict disease prognosis or response to treatment — essential work for personalized medicine and molecular diagnostics.
The field sits at the intersection of life sciences and applied computing: effective analysis requires both medical and biological understanding and practical computer science skills (e.g., algorithms, data handling, statistical analysis). The programme teaches bioinformatics through hands‑on, application‑oriented learning, so you gain practical experience working with real NGS datasets and the tools used in current biomedical research.
With these competencies you will be prepared to contribute to research and development on the cutting edge of biomedical science. Graduates typically move into roles such as bioinformatics analyst in research labs, biotechnology and pharmaceutical companies, clinical diagnostics, or continue into academic research — all areas where the ability to translate sequencing data into actionable biological insight is in growing demand. The course is offered in English, making it accessible for international students aiming to study in Germany.
Requirements / recommended preparation
This MSc programme runs across three semesters. The first and second semesters are devoted to taught coursework: a sequence of master‑level modules that build your theoretical understanding and practical skills in life science informatics. The third semester is reserved for a master's thesis, giving you the opportunity to carry out an extended research or project‑based piece of work that integrates and applies what you have learned.
All courses and the thesis are assessed and credited using the European Credit Transfer System (ECTS), so your workload and credits follow the standard European framework. On successful completion of the programme you are awarded the academic degree of Master of Science (MSc).
Learning outcomes and progression
Key points at a glance
This master's program expects applicants to enter with a solid, relevant undergraduate background and to demonstrate subject readiness through a formal assessment. Applicants should have already finished their Bachelor of Science studies in one of the two specified disciplines, so the program can build on that foundational knowledge.
In addition to the degree, admission depends on passing an assessment test. This test is part of the selection process and must be completed successfully before an offer of admission can be made. International applicants should plan time to take and prepare for this exam as part of their application timeline.
Admission requirements (summary)
Winter Semester (International)
15 June 2026
Winter Semester (EU/EEA)
15 June 2026
Graduates are prepared for roles that require hands‑on genomic data analysis, such as bioinformatician, NGS data analyst, computational biologist or specialist in molecular diagnostics within academic research groups, biotech and pharmaceutical companies, and clinical labs. The programme’s practical emphasis makes alumni attractive to employers working on personalised medicine, genomics‑driven drug development and agricultural genetics.
The MSc degree formally permits progression to doctoral studies for students aiming for research careers in universities or research institutes.