Budapest University of Technology and Economics

19 Programs 3 Degree levels

A three-year (6 semester, 180 ECTS) BSc in Physics taught in English that combines theoretical and experimental training with mathematics, programming and laboratory work. It suits students aiming for research or R&D roles, or those seeking analytical careers where modelling and quantitative skills are essential.

What you'll study

The curriculum balances foundational courses, laboratory practice, informatics and specialised physics topics. Key taught areas and credit allocations from the programme are:

  • Foundations / Experimental Physics – Mechanics, Electricity, Thermodynamics, Introduction to Modern Physics (24 credits).
  • Mathematics – Linear Algebra, Calculus, Probability, Mathematical Methods in Physics (35 credits).
  • Informatics & Electronics – Programming, Numerical Methods, Measurement Techniques, Electronics, Chemistry (18 credits).
  • Laboratory exercises – intensive experimental work (22 credits).
  • Additional skills – management and social sciences plus free-choice subjects (13 credits total: 4 + 9).
  • Advanced Physics – Theoretical Mechanics, Quantum Mechanics, Electrodynamics, Statistical Physics, Optics, Solid-State Physics (31 credits).
  • Specializations – Physicist Specialization (theory and programming) or Applied Physics Specialization (application-oriented subjects, extra labs and informatics) (27 credits).
  • Thesis work – 10 credits.

Entry requirements

Applicants need an eligible high-school degree, proof of English language proficiency and must pass the programme admission steps. Admissions proceed by: (1) pre-screening using secondary-school results and motivation/recommendation documents; (2) an online admission test in mathematics and physics; (3) if successful, an online interview in English assessing preparedness, communication, motivation and attitude; (4) final admission decision. The programme starts in September.

Career prospects

Graduates commonly continue into academic research or R&D positions. Employers in industry hire them for roles in semiconductor and sensor technology, optical instrumentation, automotive and medical instrumentation, nuclear energy, and in data science, artificial intelligence and financial analysis. The course also supports transitions into roles requiring strong mathematical modelling and analytical skills, such as economic modelling or consulting.

Scholarships & funding angle (general)

The programme page references tuition fees and scholarship opportunities but does not list specifics. Prospective applicants should consult the university's admissions and scholarship pages for available funding options and eligibility rules.

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Programme details are indicative and may change — always verify current information with the official university website before applying.