This Master’s programme provides a broad, research-oriented education in physics with a flexible curriculum that lets you specialise in one of several internationally recognised fields: astro- and geophysics; biophysics and physics of complex systems; solid-state and materials physics; nuclear and particle physics; or theoretical physics. The department’s close collaboration with local Max Planck Institutes and other research centres on the Göttingen Campus gives you exceptional access to advanced projects and facilities while you study.
The structure combines one year of taught coursework with a second year focused on a research thesis carried out within one of the department’s groups. Thanks to the campus partnerships, you can choose your thesis supervisor from more than 60 research groups, and an internship module is built into the programme to get you involved in research early on. Students also highlight the modern research infrastructure, favourable student–teacher ratio, supportive study advisory services, and a strong faculty community — all helpful when relocating from abroad and settling into graduate study in Germany.
Requirements (check the programme website for full details)
Further information and official admission details:
This MSc curriculum is structured to build from focused coursework in the first year to an intensive, research-based master’s thesis in the second year. In year one you begin with an introductory lecture for your chosen specialization, progress to advanced lectures, and complete at least two seminars. Practical experience is emphasised: you choose between advanced laboratory courses, computational physics modules, or an internship (which can take place in a research group or at an external research institution or company and may be credited toward the degree). Subsidiary subjects let you broaden your profile by deepening mathematical and natural science knowledge or by taking a language course to prepare for a semester abroad.
The second year is devoted to your master’s thesis and the methodical preparation leading up to it, for example via a main research lab course. During this phase you work intensively on a specific research question while being fully integrated into the research activities of your host group. Students who take the research networking module also prepare for and aim to participate in a scientific conference. Thesis projects are carried out at one of the programme’s ten affiliated institutes or elsewhere on the Göttingen Campus (for example at Max Planck Institutes).
Learning outcomes
Key curriculum elements / requirements
For the full study plan and detailed module descriptions consult the programme web pages and the digital module catalogue:
This master's program admits students who hold a bachelor's degree in physics or a closely related discipline. Applicants with degrees in related subjects must have completed at least three years of study and meet a specific credit composition to demonstrate sufficient preparation in physics and supporting sciences.
Non‑EU applicants are required to submit GRE Physics Test results. For full application procedures and any additional documentation details, consult the program website (link below).
For more information and application details: https://www.uni-goettingen.de/de/594492.html (application)
Winter Semester (International)
15 April 2026
Summer Semester (International)
15 October 2026
Winter Semester (EU/EEA)
15 June 2026
Summer Semester (EU/EEA)
1 December 2026
Graduates are prepared for research careers in academia and research institutions (including Max Planck Institutes and other Göttingen Campus partners) as well as for technical and R&D roles in industry. The programme’s emphasis on integration into research groups, internships, advanced lab/computational training and conference participation supports progression to PhD programmes and positions requiring strong experimental, theoretical or computational physics skills.
Beyond pure research, alumni are also well suited for jobs in high-tech industry, instrumentation, data science, consulting and finance where quantitative, modelling and problem-solving abilities are valued. The programme’s flexible specialisations and networking opportunities facilitate transitions into both specialist scientific careers and broader technology-driven roles.
Friedrich Schiller University Jena — Jena
Technical University of Munich — München
Johannes Gutenberg University Mainz — Mainz
University of Regensburg — Regensburg