This MSc programme trains students to carry out mathematical research and to pursue quantitative careers. The curriculum places particular emphasis on mathematical optimisation, stochastics and economic applications, with intensive training in contemporary mathematical methods forming the programme’s backbone. Instruction is delivered in English, making it accessible to international students.
Graduates leave with a blend of advanced technical expertise and practical quantitative problem‑solving skills, preparing them for roles across industry and research. The programme also includes targeted development of language and communication abilities, so alumni are equipped to work on the international job market and to collaborate with research teams in other countries.
Overview
All mathematics modules in this programme are delivered in English. You build a highly customisable curriculum by selecting from a broad range of mathematics courses and by choosing one economics specialisation to complement your quantitative training. The programme is research- and application-oriented: you will develop advanced skills in optimisation and stochastic methods, deepen your knowledge in additional mathematical areas, and apply these tools to a focused economics field before demonstrating your abilities in a 30‑credit Master’s thesis.
Key learning outcomes include the ability to formulate and solve complex quantitative models (deterministic and stochastic), apply mathematical techniques to economic and managerial problems, conduct independent research, and present results professionally. The 18 ECTS allocated to a minor and general key qualifications (ASQ) ensure you also acquire transferable competencies (e.g., communication, project work), and international students without at least A2 German may use German language classes to fulfil that minor requirement in many cases.
Core module areas and what you will gain from them
Programme requirements (ECTS and special rules)
Language/minor rule for international students
Available areas of specialisation in Economics
This program places heavy emphasis on mathematics and expects applicants to come with strong, demonstrable quantitative preparation. Admissions are competitive and require evidence of substantial coursework in advanced mathematics; applicants whose prior degrees focus mainly on business, accounting, or economics are generally unlikely to meet the mathematical prerequisites. You should also be comfortable with at least one advanced programming language, although you will not be asked to submit formal proof of programming skill.
If your first degree is in mathematics, you must additionally show grounding in business/economics subjects to ensure you can bridge into the programme’s applied aspects.
Admission requirements (bullet points)
Winter Semester (International)
31 May 2026
Summer Semester (International)
15 January 2027
Winter Semester (EU/EEA)
31 August 2026
Summer Semester (EU/EEA)
15 January 2027
Graduates are prepared for quantitative positions in industry and finance, such as quantitative analyst, risk analyst, data scientist or modelling specialist, as well as for roles that require strong mathematical and economic reasoning. The programme’s emphasis on research methods and advanced mathematics also provides a solid foundation for doctoral studies in mathematics, statistics or related fields.
Language and communication training further enable graduates to work in international teams and pursue opportunities with research groups or employers abroad.