Bioinformatics (MSc)

This English‑taught MSc program combines bioinformatics, computer science, and life‑science courses to train students to tackle complex biological questions with computational approaches. The curriculum emphasizes hands‑on, research‑oriented learning: you will develop algorithmic thinking and gain practical skills in large‑scale data analysis, visualization, and mass data management, preparing you to work effectively with high‑throughput technologies.

Course topics cover a broad range of contemporary areas in the field, including genomics and transcriptomics, protein and drug design, microbiome analysis, and systems biology, among others. The program is designed to prepare graduates to contribute in interdisciplinary teams, applying bioinformatics methods to real biological problems in both academic and industrial settings.

Teaching focuses on applying advanced methods rather than only theory, so expect project work, lab collaborations and research opportunities that build practical experience. The international, English‑medium setting supports collaboration with peers from diverse backgrounds and helps prepare students for careers in research, biotech, pharmaceuticals, or data‑driven roles in life sciences.

Typical application requirements (confirm details on the program website):

• A relevant Bachelor's degree (e.g., bioinformatics, computer science, biology or related field)
• Academic transcripts and diploma
• Proof of English language proficiency (since the program is taught in English)
• Curriculum vitae and motivation letter
• Any additional documents or assessments specified by the university (e.g., references, interview)

This master's programme is offered in three tailored tracks that adapt to your undergraduate background: Variant A is designed for students who already hold a Bachelor’s in bioinformatics, Variant B for biologists and other life scientists, and Variant C for computer scientists. Applicants do not select a track themselves; if you meet the entry criteria you will be placed into the appropriate variant during the admissions process.

Teaching is largely conducted in English, and Variant A can be completed entirely in English. However, if you are placed into Variant B or C you must demonstrate German language ability at the GER B2 or C1 level. Assignment to a variant is determined after application and eligibility review—there is no self-selection.

Curriculum delivery is structured so that core interdisciplinary content is combined with variant-specific coursework that bridges gaps from your prior degree. The programme’s overall aim is to develop graduates who can operate at the interface of life sciences and computation: integrating biological understanding with computational methods, analysing complex biological datasets, and working effectively in interdisciplinary research or industry teams.

Practical points for international applicants

• Three study variants: A (bioinformatics background), B (biology/life sciences), C (computer science) — assignment is made by the programme after application
• Most courses taught in English; Variant A can be completed completely in English
• If assigned to Variant B or C, proof of German proficiency (GER level B2 or C1) is required
• Applicants should check specific eligibility criteria and required documentation carefully before applying (variant placement is decided post-application)

Graduates are prepared for research and development roles where computational and biological expertise intersect, such as research institutes, biotechnology and pharmaceutical companies, and clinical bioinformatics units. The programme also builds strong foundations for data-science and software roles that require handling large biological datasets.

The mix of algorithmic training, practical pipeline development and domain knowledge makes alumni competitive for doctoral study as well as industry positions in genomics, drug discovery, microbiome research and systems biology.