Moscow Institute of Physics and Technology

Russia
1 Scholarships 5 Programs 3 Degree levels
Bachelor

Programmnaya ingheneriya (09.03.01)

DegreeBachelor
FieldSoftware Engineering

The Bachelor programme Programmnaya ingheneriya (09.03.01) at Moscow Institute of Physics and Technology trains students in rigorous software engineering founded on strong mathematical and physical principles. It suits students who want a deep theoretical grounding alongside extensive practical programming, systems design and research opportunities leading to roles in industry or further academic study.

What you'll study

This four‑year Bachelor programme combines core computer science and software engineering topics with intensive mathematics and physics foundations. The curriculum covers algorithm design and analysis, data structures, programming paradigms, compilers and programming languages, operating systems, computer architecture and networks. You will study software engineering processes including requirements engineering, software design, testing, verification and maintenance, together with practical modules in databases, distributed systems, human‑computer interaction and cybersecurity.

Advanced and elective topics commonly available include formal methods and program verification, numerical methods, machine learning and data analysis, embedded and real‑time systems, cloud and large‑scale systems, and specialised seminars in programming language theory. Practical work is a major component: laboratory courses, team software projects, industrial internships and an individual bachelor thesis or final project demonstrating design, implementation and documentation of a substantial software system.

Entry requirements

  • Secondary school completion or equivalent qualification with strong performance in mathematics; physics is highly recommended.
  • Successful performance in national or institutional entry examinations; applicants typically need to pass mathematics and/or informatics tests. International applicants should consult MIPT admissions for the accepted examinations.
  • Evidence of programming aptitude is often expected — prior experience in one or more programming languages, coursework, competitions or portfolio projects are advantageous.
  • Language requirements: the primary language of instruction is Russian for most tracks; applicants who do not speak Russian should demonstrate proficiency or follow preparatory language pathways. Some courses, seminars or supervisor arrangements may be available in English, depending on the programme and supervisor.
  • Additional selection may include interviews, problem‑solving tasks or entrance olympiads for especially competitive places.

Career prospects

Graduates are prepared for roles as software engineers, systems programmers, backend and frontend developers, embedded systems engineers, devops and infrastructure specialists, database and cloud engineers, cybersecurity analysts, and data scientists. The strong theoretical training also equips graduates for research and development positions in industrial research labs or for further study at the Master and PhD levels in computer science, applied mathematics or related disciplines.

Alumni work across a range of sectors including technology companies, telecommunications, finance and fintech, defence and aerospace, research institutes and startups. The programme’s emphasis on practical projects and internships facilitates links to industry employers and entrepreneurial pathways.

Why study at Moscow Institute of Physics and Technology

  • Rigorous mathematics and physics grounding that gives software engineers a deeper analytical toolkit for tackling complex problems and systems.
  • Close integration of theory and practice: coursework is complemented by laboratory work, team projects and opportunities for industry internships and applied research.
  • Access to research groups and laboratories in computer science, applied mathematics and related fields; opportunities to work with faculty on cutting‑edge problems.
  • Strong ties with industry and research organisations, providing routes into internships, industry projects and collaborative initiatives with technology companies and research centres.
  • A culture that emphasises problem solving, algorithmic thinking and technical excellence, suitable for students aiming for technically demanding careers or further academic study.

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