ВМК МГУ имени М.В. Ломоносова

What ВМК МГУ имени М.В. Ломоносова does

The Faculty of Computational Mathematics and Cybernetics (ВМК) is an academic and research unit within Lomonosov Moscow State University, founded in 1970 and headquartered in Moscow, Russia. It is not a standalone commercial entity; rather, it operates as a public, state-funded higher-education faculty delivering bachelor's, master's, and doctoral programs in computational mathematics, cybernetics, applied mathematics, AI, data science, cybersecurity, and supercomputing. The faculty serves primarily domestic Russian students at the undergraduate and graduate levels, with an international cohort drawn from 75+ countries, and operates branch campuses in Kazakhstan, Sevastopol, and Tashkent.

Its core research and product outputs are unusually diverse for an academic unit. These include: (1) Chess King — an AI-driven chess-learning course suite with 100+ courses, over 1 million training tasks, AI-based task classification, and tens of millions of mobile downloads; (2) SAPFOR — an automated source-code parallelization tool for Fortran/scientific programs; (3) DVM — a parallel program execution system for cluster computing; (4) a Cloud Security Educational Polygon built on Yandex Cloud for CTF competitions; (5) a Safe Compiler methodology conforming to Russian state standard ГОСТ Р 71206-2024, adapted from Clang and targeted at DO-178C aviation onboard systems; and (6) the VSRQAD dataset for video super-resolution quality assessment, published in IEEE Access. Underlying technology spans computational mathematics, machine learning, computer vision, NLP, mathematical modeling, parallel and supercomputing, and information security.

The economic model is primarily state-financed via MSU's parent-entity budget, supplemented by fee-based supplementary education programs, international student tuition, and limited commercial monetization of selected tools (notably Chess King via mobile platforms). Revenue is not publicly disclosed at the faculty level. Pricing for paid educational services is not transparent, and the faculty's partnership model emphasizes industry-employer pipelines (career fairs), international academic exchanges (e.g., MSU-BIT Winter School with Beijing Institute of Technology), and infrastructure alliances (Yandex Cloud).

Name

ВМК МГУ имени М.В. Ломоносова

Legal name

Факультет вычислительной математики и кибернетики МГУ имени М.В. Ломоносова

Website

https://cs.msu.ru

Company type

Private

Founded year

1970

Operating status

Operating

Headcount range

11–50 employees

Short description

The Faculty of Computational Mathematics and Cybernetics (ВМК МГУ) is a 1970-founded academic unit of Lomonosov Moscow State University that trains students in computational mathematics, cybernetics, AI, and supercomputing, and develops research outputs including the SAPFOR parallelization tool, VSRQAD video-quality dataset, and AI-based Chess King learning courses.

Ownership category

akta.pro rank

Product category

Higher Education and Academic Research

NAICS

Colleges, Universities, and Professional Schools (61131), Computer Training (61142)

SIC

Services-Educational Services (8200), Services-Computer Programming Services (7371)

akta.pro primary industry

Public Research Universities with Multi-Campus Systems (EDAHAAAI)

akta.pro secondary industries

Technical Universities with Specialized Engineering Domains (EDAHAEAI), Online International & Cross-Border Universities (Global/Transnational Providers) (EDAHALAL)

Keywords

• Higher education programs
• Computational mathematics research
• Cybersecurity training
• Parallel computing software
• Artificial intelligence education

GTM type

B2C

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Infrastructure, Marketing or Sales

Distribution channels4 records

Marketing channels5 records

Core offering

ВМК МГУ is a faculty of Lomonosov Moscow State University that delivers higher education degree programs (bachelor's, master's, doctoral) in computational mathematics, cybernetics, and computer science, alongside supplementary professional computer courses and preparatory courses. It also develops and offers proprietary research tools and educational products, including the SAPFOR automated parallelization system, DVM parallel programming system, cloud security training infrastructure, AI-based chess learning courses, and a video quality assessment dataset. The faculty operates branch campuses in Kazakhstan, Sevastopol, and Tashkent to extend its educational and research mission.

Product overview

ВМК МГУ is a higher education institution (faculty of Lomonosov Moscow State University) that develops and offers educational programs and research tools in computational mathematics and cybernetics. The portfolio includes specialized AI-based learning products like Chess King courses with AI task classification, scientific computing tools such as SAPFOR and DVM for automated program parallelization, cloud security training infrastructure using Yandex Cloud, and safe compilation technologies for embedded systems. The institution also produces research datasets like VSRQAD for video quality assessment and runs specialized educational programs including the Academic Program on AI launched in 2020. These products range from educational tools and scientific software to specialized datasets and cloud-based training platforms, supporting the faculty's mission in education and research.

Differentiator

Problem solved

Functional benefit

Products and services

• Higher Education Degree Programs (Bachelor's, Master's, Doctoral) in Computational Mathematics and Cybernetics State-funded and paid degree programs at undergraduate, master's, and doctoral levels covering computational mathematics, cybernetics, AI, data science, cybersecurity, and supercomputing, for Russian and international students.
• Chess King Courses (Шахматные курсы Chess King) AI-based chess educational course series with over 100 courses and more than 1 million training tasks, from beginner to advanced levels, using AI-based task classification and distribution by themes.
• SAPFOR Automated Parallelization Tool (Инструмент автоматизированного распараллеливания программ) Automated parallelization tool that analyzes and adapts sequential Fortran scientific programs for execution on multiprocessor computing systems, with incremental parallelization and parallelization region merging capabilities.
• DVM Parallel Programming System (Система выполнения параллельных программ) Parallel program execution system that transforms sequential code into parallel code, reducing labor costs for preparing programs for cluster computing.
• Cloud Security Educational Polygon (Учебный полигон по безопасности облачных технологий) Educational training infrastructure for practical preparation in cloud technology security, using Yandex Cloud for laboratory work, cyberattack modeling, and Capture the Flag competitions.
• Safe Compiler (Безопасный компилятор) Compilation technology developed according to Russian standard ГОСТ Р 71206-2024, adapted from Clang compiler for embedded mission-critical systems in aviation and other safety-critical domains (DO-178C compliance).
• VSRQAD Dataset (Набор данных VSRQAD) Video quality assessment dataset for super-resolution evaluation, containing over 2,000 videos processed by 11 SR algorithms with subjective quality scores from over 11,000 human participants.
• Academic Program on Artificial Intelligence (Академическая программа «Искусственный интеллект») Specialized AI education track covering machine learning, deep learning, computer vision, neural network methods, NLP, and data analysis, with 15 students graduating in 2026.
• MSU-BIT Winter School International winter school on computational mathematics and control conducted jointly with Beijing Institute of Technology, providing cross-cultural academic exchange and specialized coursework.
• Preparatory Courses for School Students Pre-university preparatory courses, olympiads, and evening math school to help high school students prepare for university admission.
• Professional Computer Courses Supplementary professional computer courses and additional educational programs offered through vmk-edu.ru for working professionals and lifelong learners.

Quantifiable outcome

• Chess King educational system with over 100 courses and 1 million+ problems, tens of millions of downloads on mobile platforms
• +2 more outcomes

Segments4 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration1 record

AI capability9 records

Feature6 records

Recent moves7 records

Expansion highlights5 records

Direct peers

• ITMO University: Saint Petersburg-based technical university consistently ranked as one of Russia's top CS and computer science institutions, with strong international student intake. Directly comparable in mission (CS-focused higher education and research) and competitive for the same domestic and international applicant pool.
• Saint Petersburg State University, Faculty of Mathematics and Computer Science: Top Russian university faculty offering degree programs and research in mathematics, computer science, and cybernetics — closely overlapping VMK's mission and competing for the same top-tier Russian and CIS students.
• Faculty of Mechanics and Mathematics, MSU: Sister faculty within Lomonosov Moscow State University offering the closely related pure and applied mathematics curriculum. Shares the same parent brand, student pipeline, and faculty resources, and competes directly for students choosing between math and computational-math tracks at MSU.
• Skolkovo Institute of Science and Technology (Skoltech): Moscow-based research university with concentrated strength in computer science, AI, and computational science, closely aligned with VMK's research mission. Competes for graduate students, international talent, and industry-funded research partnerships in the same Russian ecosystem.
• Moscow Institute of Physics and Technology (MIPT): Leading Russian technical university with strong programs in applied mathematics, computer science, and AI research. Competes with VMK MSU for top STEM students and faculty and operates parallel research-output and graduate-training infrastructure in the same Russian higher-education market.
• HSE Faculty of Computer Science: Faculty of Computer Science at HSE University in Moscow, Russia's strongest direct competitor for top CS talent and a leading Russian institution for applied mathematics, machine learning, and AI education. Operates in the same Moscow market for undergraduate, graduate, and international students in computational sciences.
• Tsinghua University, Department of Computer Science: Top Asian CS department with research strength in AI, computer vision, parallel computing, and large-scale educational outreach — directly comparable in technical scope. As Asian students form a major share of MSU's international body, Tsinghua represents the principal regional competitor for that segment.

Broad incumbents

• MIT EECS / CSAIL: World-leading computer science and electrical engineering department with overlapping research areas in AI, parallel computing, computer vision, and safe systems. Functions as a broad global incumbent whose research profile and educational model shape the standard VMK benchmarks itself against.
• ETH Zürich, Department of Computer Science: One of Europe's leading CS departments, comparable in research depth (parallel computing, AI, computer vision) and international student mix. Operates as a broader, more resource-rich institution but serves as the international benchmark for top CS faculties of VMK's caliber.
• Carnegie Mellon University, School of Computer Science: Top global CS school with comparable research depth in AI, machine learning, cybersecurity, and software systems. Used as an international reference point for top CS faculties and competes loosely for international graduate talent.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• Xx.com/cmcmsu
• LinkedInlinkedin.com/company/%D0%B2%D0%BC%D0%BA-%D0%BC%D0%B3%D1%83-%D0%B8%D0%BC%D0%B5%D0%BD%D0%B8-%D0%BC-%D0%B2-%D0%BB%D0%BE%D0%BC%D0%BE%D0%BD%D0%BE%D1%81%D0%BE%D0%B2%D0%B0

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles14 records

Subsidiaries3 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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