Overview
This postgraduate Master of Science in Epidemiology delivers an advanced, interdisciplinary curriculum to deepen methodological skills and expand competencies for conducting epidemiologic research. The programme is tailored to help students strengthen quantitative and analytic approaches used in clinical and population-health studies, with a strong emphasis on research methods and their practical application.
Teaching and partnerships
Coursework reflects current research and professional practice through extensive collaboration with public health and health-policy institutions. Instruction is provided by experienced faculty from Charité and partner organisations, including the Robert Koch Institute, the Max Delbrück Center, the Berlin Institute of Health, Bayer AG, and the Hasso Plattner Institute—connecting students directly with leading German research centres and agencies.
Career outcomes and context
Graduates are prepared for roles as research scientists in areas such as clinical trials, outbreak investigation, infection control, and disease surveillance, both in academic settings and within government or public-health organisations. Based in Berlin, the programme offers access to a dense network of research institutions and public-health stakeholders that can support practical training and professional networking.
Admissions profile / key facts
This MSc curriculum combines a concentrated core of epidemiologic methods, specialised electives, and an independent research project culminating in a Master's thesis. The five core methods modules build a firm foundation in both the theory and practical application of epidemiologic research, and are delivered as seminar-style courses that encourage interaction and cross-disciplinary exchange. Electives let you deepen skills in specific areas, while the integrated research project and thesis let you design and carry out an original study under faculty supervision.
By the end of the programme you will have: a comprehensive set of theoretical and applied epidemiologic research skills; specialised methodological expertise in at least one application area; experience designing and conducting an independent research study; and strengthened communication and collaborative abilities through seminar work. The thesis project also provides a practical bridge to research groups and potential employers. The programme’s flexible format allows full‑time completion in 12 months or part‑time completion over two years (four semesters), and supports individualized course plans if additional time is needed.
Requirements (concise)
This master's programme is designed for students who already hold a university degree and who bring professional experience to the classroom. It targets mid-career professionals who want to deepen their methodological and research skills in epidemiology, biostatistics, medical informatics, and health data science. Applicants with varied academic backgrounds enrich seminar discussions; the programme welcomes candidates from social sciences, humanities, natural sciences, and medicine.
Successful applicants should be comfortable working in English and prepared for quantitative coursework. A basic mathematical aptitude and solid grounding in statistics are expected, along with an interest in learning and using statistical software to analyse health data.
Winter Semester (International)
31 January 2027
Winter Semester (EU/EEA)
15 May 2026
Graduates are prepared for research-focused roles in clinical trials, outbreak investigation, infection control, disease monitoring and public health surveillance. Typical employers include academic research groups, government public health agencies (e.g. national institutes of public health), and industry partners in pharma and biotech.
The programme’s strong methodological training in epidemiology, biostatistics, medical informatics and health data science equips alumni to work as research scientists, data analysts, or policy advisors, and to take on leadership roles in surveillance, health policy, clinical research and applied epidemiology settings.