This English‑taught Master's programme combines rigorous mathematics with practical applications in economics and finance. You will deepen your mathematical expertise while focusing on techniques used in forecasting, modelling and simulation, as well as methods for measuring and limiting financial and operational risks. The curriculum also treats optimisation of processes and production flows as central tools for business decision‑making.
The degree is application‑oriented and includes a minor in economics, so you gain both the quantitative foundation and the economic context needed to apply those methods in real workplaces. Graduates are prepared for careers across the financial and business sectors, particularly in areas such as risk management, statistics, auditing and management consulting.
For exact entry requirements, application deadlines and course structure, consult the programme's official admissions information as these details can vary.
Applicants must already hold a first university degree in mathematics before applying. In practical terms, this usually means a Bachelor's degree (or an equivalent undergraduate qualification) where mathematics is the primary field of study.
If your undergraduate degree was completed outside the country where this program is offered, be prepared to show that your qualification is comparable to a domestic first degree in mathematics. International applicants should have official degree certificates and transcripts ready, and provide certified translations if documents are not in English or the program’s teaching language.
Requirements (summary)
Winter Semester (International)
15 July 2026
Summer Semester (International)
15 January 2027
Winter Semester (EU/EEA)
15 September 2026
Summer Semester (EU/EEA)
15 March 2026
Graduates are prepared for quantitatively demanding roles in finance and economics such as risk management, actuarial work, quantitative analysis, statistics, auditing and management consulting. The combination of rigorous mathematical training and a minor in economics makes alumni attractive to banks, insurance companies, auditing firms, consulting companies, and statistical or data-driven departments across industry and the public sector.
The programme also provides a solid foundation for research or doctoral studies in mathematical finance, econometrics or applied mathematics, and offers transferable skills (modelling, simulation, optimisation, statistical inference) that are in demand for data science and analytics positions.