This Master's programme takes a strongly application- and computer-oriented approach to mathematics. Teaching and research at the institute focus on analysis, computer algebra, optimisation, discrete mathematics, stochastics and numerics, and most students build their course programme from these areas. Typical topics you can expect include functional analysis and partial differential equations, variational calculus and mathematical physics, computational commutative or differential algebra, cryptography and coding theory, discrete optimisation and combinatorics, numerical analysis of ODEs and PDEs, and stochastic modelling, simulation and processes.
The curriculum encourages interdisciplinarity: in addition to mathematics, every student selects a minor subject (options include physics, computer science, nanoscience or economics) and roughly one-fifth of the courses come from that minor. There are no compulsory mathematics courses — you choose each semester from the offered Master's courses and seminars, so you can tailor the programme to your interests and career goals. The Master's degree culminates in a six-month thesis based on a student research project.
Teaching is organised in small groups with close contact between students, lecturers and tutors. Courses are supported by tutorials, weekly homework assignments and individual feedback from tutors, which helps consolidate understanding and provides personalised guidance — a helpful environment for international students adapting to a new academic system.
Program requirements and structure (summary)
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You must hold an undergraduate degree in mathematics (B.Sc. or equivalent) or in a closely related field that is judged to be equivalent to the Bachelor's degree offered at the University of Kassel. Admissions staff evaluate whether your prior degree provides the same depth and orientation in pure mathematics as Kassel’s Bachelor programme.
Degrees in engineering, computer science or education are normally not regarded as sufficiently “closely related.” In those programmes, mathematics is typically taught with a different focus and methodology than in a pure mathematics degree, so they usually do not meet the comparability requirement.
Admission requirements (summary)
Winter Semester (International)
31 July 2026
Summer Semester (International)
15 January 2027
Winter Semester (EU/EEA)
31 July 2026
Summer Semester (EU/EEA)
15 January 2027
Graduates are prepared for further academic research (PhD) or for specialised roles in industry and applied research where advanced mathematical and computational skills are required. The programme’s emphasis on numerical methods, optimisation, stochastic modelling, cryptography and computational algebra equips students for positions in data science, finance, software and IT security, engineering modelling, and interdisciplinary research teams.
The combination of a mathematics major with an applied minor further broadens employment options across sectors that use quantitative and computational methods, such as technology companies, research institutes and consulting firms.