Master's in Mathematics International

This English-language master's program lets you deepen your mathematical training by choosing one of several focused tracks that span pure theory, applied methods, and computational tools. You will study advanced topics, work on problem-solving and modelling, and complete a research-oriented master's thesis or project that links theory with applications. The curriculum is designed to suit students aiming for doctoral studies, research positions, or quantitatively oriented roles in industry and finance.

You can specialise in one of these areas:

• Algebra, Geometry and Computer Algebra — including algebraic geometry, singularity theory, number theory, computer algebra and cryptography
• Analysis and Stochastics — including functional analysis, differential equations, computational stochastics and stochastic analysis
• Financial Mathematics, Statistics and Probability — including stochastic control, insurance mathematics and time series analysis
• Industrial Mathematics: Modelling and Scientific Computing — including partial differential equations (PDE), differential–algebraic equations (DAE), systems and control theory, numerical methods, simulation and biomathematics
• Optimisation — including linear and non-linear optimisation, location theory and scheduling theory

The programme emphasises both rigorous theory and practical computation: depending on your track you can expect coursework, computational labs and project work that apply mathematical methods to real-world problems. Interdisciplinary collaborations (for example with engineering, computer science or economics) are possible through project work or thesis topics, enabling you to tailor the degree to academic or professional goals.

Requirements (typical expectations)

• Bachelor's degree or equivalent in mathematics or a closely related discipline
• Solid grounding in core mathematical areas relevant to your chosen specialisation (e.g., algebra, analysis, probability, numerical methods)
• Proficiency in English (program language: English)
• Motivation to pursue a specialised track and to complete a research-oriented master’s thesis
• Standard application documents (transcripts, CV, and usually a statement of motivation; referees and proof of language proficiency may be requested)

This Master's in Mathematics International is built to let you tailor advanced study to your interests while ensuring a broad, rigorous mathematical foundation. You choose one of several specialisations — ranging from abstract areas like Algebra, Geometry and Computer Algebra to application-oriented tracks such as Financial Mathematics and Statistics, Industrial Mathematics (Modelling and Scientific Computing), and Optimisation — and combine specialist courses with substantial coursework in both pure and applied mathematics. The programme includes seminars to develop presentation and research skills and culminates in a 30-credit Master’s thesis carried out in the final semester.

The curriculum balances depth and breadth: specialist modules deepen subject-matter expertise, pure mathematics courses consolidate theoretical foundations, and applied mathematics modules provide modelling, numerical and statistical training relevant for industry or research. A small non-mathematical component encourages interdisciplinary competence (for example, skills in computing, economics, or another complementary field). Overall learning outcomes include the ability to conduct independent research, apply advanced mathematical methods to practical problems, and communicate results effectively—preparing graduates for doctoral study or professional roles in research, finance, technology and engineering.

Key requirements and structure

• Specialisations (choose one): Algebra, Geometry and Computer Algebra; Analysis and Stochastics; Financial Mathematics and Statistics; Industrial Mathematics: Modelling and Scientific Computing; Optimisation
• Total credits required: 120–132 CP
• Seminars: 6 CP total (across two seminars)
• Master’s thesis: 30 CP, written during the last (4th) semester
• Course credit distribution:
  • Specialisation courses: 36–40 CP
  • Pure Mathematics: 18–21 CP
  • Applied Mathematics: 24–27 CP
  • Non-mathematical subject: 6–8 CP
• Programme length: 4 semesters (the 4th semester is reserved for thesis work)
• Academic year and lecture periods:
  • Winter semester: 1 October – 31 March (lectures typically late October – late February)
  • Summer semester: 1 April – 30 September (lectures typically late April – late July)
• Programme start: normally in the winter semester, with an option to begin in the summer semester

Graduates are well prepared for research careers (including doctoral studies) and for professional roles that demand high-level mathematical expertise. Possible employers include universities and research institutes as well as R&D departments in industry where modelling, simulation and numerical methods are needed.

The diverse specialisations also open direct pathways into sectors such as finance and insurance (quantitative analysis, time series and stochastic control), data science and statistics, cryptography and cybersecurity, and industrial applications (systems and control, optimisation, biomathematics and computational engineering).