Master of Science in Mathematics

MSc Mathematics – Master's Programme (TU Darmstadt) The English-taught Master's programme in Mathematics has a standard period of study of four semesters (two years). When applying, one of four fields of study must be chosen: 1. Mathematics Two advanced courses with one specialisation each must be chosen from the following seven research fields: Algebra Analysis Logic Numerical Analysis Optimisation Stochastics In the elective part, either a minor from the TU Darmstadt course catalogue or further mathematical Master's-level courses are selected. 2. Business Mathematics One of the following mathematical specialisations is chosen: Optimisation Stochastics The second specialisation comes from Economics. The mandatory minor is Computer Science. In the elective part, mathematical courses outside the chosen specialisation are selected. 3. Data Science Two data-focused mathematical specialisations are chosen from: Analysis Numerical Analysis Optimisation Stochastics The mandatory minor is Advanced Computer Science; extensive prior knowledge is required. 4. Interdisciplinary Mathematics  This field combines mathematics with a second subject. The mathematical specialisation is chosen from the following: Algebra Analysis Logic Numerical Analysis Optimisation  Stochastics The second, non-mathematical specialisation can be, for example, Computer Science, Physics, or Mechanical Engineering. The mandatory minor is typically based on the non-mathematical specialisation, but may vary. Interdisciplinary courses and the "Studium generale" are also part of the programme, offering opportunities for internships and non-mathematical courses. Qualifications upon graduation Graduates will be qualified to: classify recent research, present and reflect on mathematical issues, systematically solve mathematical problems, and apply expertise from other disciplines and engage in scientific discourse. PDF Download

Course details verified 09 Sep 2026 — intakes, entry requirements and course facts · official source

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English

E.G. telc English: telc English B2-C1 University TOEFL iBT Home Edition (since 2026): 4 Reading: 4 Listening: 4 Speaking: 4 Writing: 4 UNIcert® English: UNIcert® II TOEFL iBT (before 2026): 72 Reading: 18 Listening: 17 Speaking: 20 Writing: 17 IELTS Academic: 5.5

Prerequisites

In order to be admitted into our study programme, the requirements are the following: Successful graduation from a mathematical Bachelor's programme (a degree in engineering is not sufficient) Basic knowledge and methods at least in analysis, numerical analysis, algebra, stochastics Advanced knowledge and methods in three research fields of specialisation It is also possible to specialise in the following research fields if one has basic knowledge of the subject: optimisation, scientific computing, logics. For the study field of Data Science, extensive prior knowledge in computer science is necessary. For your application, please submit the following documents: Certified certificate of first university degree in mathematics (e.g. Bachelor's degree) Certified copy of your passport Diploma supplement or comparable documentation Module/course descriptions A short letter of motivation

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