This two-year (four-semester) Master’s program (120 ECTS) is taught in English and combines rigorous mathematical analysis with practical modelling techniques. One semester—typically the third—is spent at a university abroad; if you choose one of the program’s partner institutions in France, Italy or Spain, you may be eligible for a double degree. The curriculum is designed to give international students both the theory and the international exposure valued in academia and industry.
Mathematical modelling and analysis are central to advances across natural sciences (physics, chemistry, biology, meteorology, medicine), engineering and architecture (mechanics, civil, computing), and the social sciences (economics, psychology, sociology). This broad applicability creates steady demand for graduates not only in research and higher education but also across many sectors of the labour market and business.
The program aims to provide highly qualified students with a strong grounding in applied mathematics. Graduates leave with proven methods for solving complex problems and practical experience using powerful computational software—skills that prepare them for careers in research, industry, consulting, or further doctoral study.
Key facts & requirements
Curriculum overview
The programme is structured over four semesters. In the first two semesters you follow lectures and seminars focused on mathematical analysis and modelling while based in Augsburg. These semesters also include a substantial software project and a package of soft-skill courses — for example academic and professional skills plus language classes to support study and life in Germany. The third semester is spent at a partner university abroad, giving you an international academic experience and exposure to different research and teaching styles. The fourth semester is dedicated to the Master's thesis and its public defence.
What you will learn
Across the taught courses and project work you develop advanced theoretical knowledge in mathematical analysis together with practical modelling skills for translating real-world problems into quantitative frameworks. The software project gives hands-on experience in implementing algorithms and computational solutions. Language and soft-skill classes strengthen communication, teamwork and presentation abilities that are essential for international collaboration. The semester abroad broadens your academic perspective and network, and the thesis trains you to conduct independent research, write a substantial scientific report and defend your results orally.
Program requirements (components you must complete)
Applicants are required to hold a recognised Bachelor’s degree in mathematics. For international degrees this generally means a university-level qualification that the programme or the relevant German authorities consider equivalent to a German mathematics bachelor; if you are unsure about equivalence, contact the admissions office well in advance for guidance.
In addition, admission depends on successful completion of the programme’s aptitude test. The test is designed to assess your mathematical knowledge and readiness for graduate-level study (core topics typically include areas such as analysis, linear algebra and mathematical problem solving), so allow time to review key undergraduate material before taking it. The department may provide sample questions or further information about format and scheduling.
International applicants should prepare certified transcripts, degree certificates and, where needed, official translations to support the recognition process. If your undergraduate degree is not strictly titled “mathematics” but includes a strong quantitative foundation, ask admissions whether it may meet the entry requirement.
Winter Semester (International)
15 June 2026
Winter Semester (EU/EEA)
15 June 2026
Graduates are prepared for careers that require advanced modelling and analytical skills in academia, research institutes and industry sectors such as engineering, IT/scientific computing, finance, environmental modelling, meteorology, and various areas of applied science and technology. The programme’s combination of theoretical analysis, practical software projects and an international semester makes alumni attractive for roles involving mathematical modelling, data analysis, simulation, and algorithm development.
The degree also provides a solid foundation for doctoral studies in mathematics or applied disciplines. Employers benefit from graduates’ ability to formulate mathematical models, apply numerical methods and use powerful computation software to solve interdisciplinary problems.