Overview
This English-language MSc combines advanced coursework with hands-on research across evolution, ecology and systematics. You will study a wide range of topics — including population biology, genetics, phylogenetics, population genetics, behavioural ecology, theoretical biology, molecular evolution, human evolution, botany, zoology, limnology, marine biology and bioinformatics — while taking part in research activities that anchor learning to current scientific questions.
The programme emphasizes practical exposure: students can complete several lab rotations in different research groups and are expected to join seminars and conferences to present and discuss work. You will also build transferable skills essential for a research career, such as scientific and grant writing, giving presentations and leading discussions, and performing statistical analyses. Teaching and supervision come from internationally recognised researchers and award-winning instructors, and research is conducted in excellent facilities at the modern “Biocenter,” located on the university’s HighTechCampus. The curriculum is organised into topic-related modules (lectures, seminars and practical courses) with a strong focus on embedding education in ongoing research projects. For a detailed overview of current research areas and the programme structure, see: https://www.bio.lmu.de/en/study/for-students/master-programs/ees/.
Key expectations / requirements for students
Overview This accredited international Master's programme is run jointly by the university’s Biology and Geosciences faculties together with the Max Planck Institute for Biological Intelligence (Seewiesen) and the Bavarian Natural History Collections (zoological and botanical state collections). The course is governed by a coordination team, admissions committee, curriculum committee and a board of directors, and is structured over four semesters. Every semester combines hands‑on research with targeted skills training.
Semester structure and core components
Key modules and components
Learning outcomes (what you will be able to do)
This structure is designed to prepare graduates for research careers (academic and applied) by combining laboratory/field projects, methodological training and professional skills development.
This programme expects applicants to hold a recognised three-year Bachelor's degree (minimum 180 ECTS) in biology or a closely related discipline. Suitable fields include biology, evolution, ecology, systematics, sustainability, agricultural sciences, bioinformatics, agricultural biology, forestry, chemistry, biochemistry, or biophysics. Degrees that are comparable in content and workload from other countries may also be acceptable — make sure your qualification clearly shows the subject focus and credit weighting.
If you have not finished your Bachelor’s yet, you can still apply provided you will complete the degree within the next few months; your application should indicate the expected completion date. All applicants must submit a transcript of records that shows the grade point average. Current Bachelor students should provide a recent transcript with their preliminary average grade.
Practical tips for international applicants: ensure your transcript clearly states ECTS or an equivalent credit/credit-hours measure and the grading scheme; if documents are not in English or German, check whether certified translations are required by the admissions office.
Admission requirements (summary)
Winter Semester (International)
28 February 2026
Winter Semester (EU/EEA)
28 February 2026
Graduates are prepared to pursue research careers (including PhD programmes) in evolutionary biology, ecology and systematics, or to work in research institutions, natural history collections and museums. The programme’s emphasis on independent projects, statistical analysis and scientific writing also suits roles in environmental consultancies, conservation organisations, governmental and non-governmental agencies, and industry positions that require bioinformatics or ecological expertise.
In addition to research and academic paths, skills developed in grant writing, science communication and data analysis can be applied in science policy, education/outreach and technical positions in biotech or environmental monitoring.