Budapest University of Technology and Economics

What you'll study

The curriculum emphasises probability, statistics and analysis alongside core mathematical subjects and applied options. The programme includes:

• Scientific foundations – measure theory, probability, stochastic processes and related topics (18 credits).
• Core mathematics – analysis, algebra, geometry, operations research and numerical methods with some elective choice (28 credits).
• Applied and specialised – statistics, information theory, advanced stochastics and financial processes (30–31 credits, specialization dependent).
• Electives – courses selected to match individual interests (13–14 credits).
• Research – project work and seminars (10 credits) plus a 20-credit master’s thesis.

Entry requirements

Applicants need an eligible BSc (for MSc entry). Admission involves an online test and a personal interview (which may be remote) that probe mathematical foundations—especially calculus and linear algebra—and competency and interest in probability and statistics. Candidates gain points for relevant BSc coursework. Foundational courses are available for those who need them.

Career prospects

The programme prepares graduates to work with industry, finance and insurance professionals who apply mathematics. Alumni have moved into positions at organisations such as Morgan Stanley, Citibank, Google, the National Bank of Hungary and into academic posts at universities including Birmingham (Alabama), Bonn, Bristol, Eindhoven, Toronto, Zürich and Warsaw.

Scholarships & funding angle (general)

The university lists tuition fee and scholarship information and operates preparatory support and housing guidance. Prospective students should consult the programme website and the institution’s e-admission pages for detailed funding opportunities and deadlines.