University of Szeged

What you'll study

The programme typically runs as a two-year master’s course combining taught modules, seminars and an independent research project leading to a master’s thesis. Core topics available across specialisations include real and complex analysis, functional analysis, algebra and algebraic structures, differential equations, numerical analysis, computational methods, probability and stochastic processes, mathematical statistics, optimisation and mathematical modelling.

Students choose from advanced elective modules to construct a pathway emphasising either pure mathematics (for example algebraic geometry, topology, operator theory), applied and computational mathematics (numerical linear algebra, finite element methods, scientific computing, inverse problems), or probabilistic and statistical methods (stochastic processes, statistical inference, time series). Research seminars, reading courses and problem classes develop proof skills and research techniques. The programme culminates in an extensive master’s thesis carried out under the supervision of a faculty member.

Entry requirements

• Academic background: A recognised bachelor’s degree in mathematics or a closely related subject with a substantial component of mathematics (for example mathematical physics, statistics, computer science with strong maths content). Candidates whose undergraduate programme lacks specific modules may be required to complete supplementary courses.
• Transcripts and documentation: Official transcripts and a degree certificate are required. Applicants usually submit a curriculum vitae and a statement of purpose describing academic interests and intended area of specialisation.
• References: One or two academic references are normally requested to support the application.
• Language requirements: Proof of proficiency in the language of instruction is required for applicants whose previous education was not in that language. The University accepts a range of recognised English language qualifications for English-language streams; knowledge of Hungarian may be required for Hungarian-taught options.
• Interview/assessment: Selection may include an interview or a short written assessment to establish mathematical preparedness and research potential.

Career prospects

Graduates leave with strong analytical, problem-solving and quantitative skills that are highly valued across many sectors. Typical career routes include academic research and progression to PhD programmes, teaching at secondary and tertiary levels, and roles in research institutes. In industry, alumni work in data science, quantitative finance, risk and actuarial analysis, software development, optimisation and operations research, cryptography and information security, and scientific computing. Mathematical training also suits careers in government, consulting and technology-intensive start-ups.

Why study at University of Szeged

The University of Szeged’s Faculty of Science and Informatics has an active mathematics community with research groups covering both classical and contemporary areas of mathematics. Students benefit from close supervision by research-active staff, participation in seminars and workshops, and opportunities to collaborate with regional research institutes and international partners. The department maintains computing and laboratory facilities for numerical and applied work and supports progression to the university’s Doctoral School of Mathematics for those interested in a research career. Szeged itself is a compact university city offering a supportive student environment and good links to broader academic and industrial networks in Hungary and Central Europe.