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Mathematics (M.Sc.)

Better preparded for research and the economy! This research-oriented degree programme offers numerous options for individual specialisation. With excellent capacity for analytical thought, graduates of Göttingen have been in high demand in various areas of research and the economy for years. This degree also allows students to pursue doctoral studies, for example in one of the interdisciplinary research training groups at the University of Göttingen. This degree programme takes place in an international and interdisciplinary atmosphere which characterises the reputation of Mathematics at Göttingen.


Programme name: Master programme in Mathematics
Degree: Master of Science
Standard period of study: 4 semesters
Starting semester: winter semester and summer semester
Admission: limited admission (application to the Faculty)
Admission requirements: (cf. bottom)
Language requirements: German or English knowledge (cf. bottom)
Application deadline: Applications can be submitted at any time. In the middle of the first month of each quarter, the admission committee decides about the received applications.
Application: Information



Programme description
English is the default language of instruction for mathematics in this programme.
The Master's programme goes beyond the objectives of the Bachelor's programme: Knowledge of the main mathematical disciplines, their interrelationships, handling current mathematical research literature, as well as the ability to scientifically process and depict mathematical problems.

Succesful completion of the Master's programme qualties graduates for:
- mathematical tasks in industry and business for which they are solely responsible,
- heading projects concerning analysing, modelling and solving scientific, economic or technical problems,
- fulfilling planning, developmental and research tasks in business and public institutions,
- occupation as a research employee at institutes of higher education,
- admission to a PhD programme.

The subject in Göttingen, subject areas, research foci
Four specialisations are offered according to the four research foci of the Faculty. Two of the specialisations are based on the pure mathematics:

SP1: Analysis-Geometry-Topology,
SP2: Algebra-Geometry-Number Theory Analysis

and two specialisations are application-oriented:
SP3: Numerical and Applied Mathematics
SP4: Mathematical Stochstics.

Teaching at the Faculty of Mathematics is research-oriented and at a high level with a large range of courses offered. The Faculty offers excellent opportunities for doctoral studies, for the most part third-party funded (for example in research training groups and the doctoral programme). The Faculty of Mathematics takes a leading role in two interdisciplinary centres: the Centre for Informatics and the Centre for Statistics.

Admission requirements


  • at least 16 ECTS in real analysis (differentiation and integration)
  • at least 16 ECTS in analytical geometry and linear algebra
  • a total of at least 8 ECTS in the following topics: analysis on manifolds, functional analysis, complex analysis, advanced algebra (group-,ring-, field theory, galois theory)
  • at least 8 ECTS in measure and probability theory
  • at least 8 ECTS in numerical mathematics
  • at least 90 ECTS in mathematics all together




Subject combinations
Mathematics is always studied together with a minor subject. Possible subjects are Computer science, Theoretical Physics, Experimental Physics, Astrophysics, Business, Economics and Philosophy. The minor subject may be chosen independently from the minor subject selected in the Bachelor's programme.

Occupational fields:
Graduates who have succesfully completed the Master's programme have very good career opportunities in banks, insurance companies, consulting firms and commercial enterprises, in research and development departments of larger firms, in the consulting and sales departments of firms of the technical branch as well as in the data processing and advertising sectors. They are neede in almost all areas in which scientific, economic or technical problems need to be analyzed, modelled and solved.

Language requirements:
English proficiency at level C1 or higher (e.g. IELTS Band 7,0 or iBT TOEFL 94), alternatively German proficiency at level C1 or higher (e.g. DSH-2).