HSE University Becomes Absolute Leader in AI Alliance Ranking of Universities
The AI Alliance Russia has announced a new ranking of Russian universities based on the quality of education in the field of AI. A total of 203 universities from 68 Russian regions participated in the ranking. HSE University was the first to join the highest A++ group.
This is the third time the ranking has been released. It features universities offering bachelor's and specialist's programmes in artificial intelligence that are divided into groups depending on the quality of training.
HSE University has become the absolute leader of the list, having entered the highest A++ category—a new group formed for the first time this year.
The assessment is based on open data and independent research by the AI Alliance Russia, including an extensive survey of employers (more than 150 companies), a survey of students on the quality of the educational environment (over 12,000 students), as well as data verification through universities' accounts, which has increased the transparency and reliability of analytics.
Valery Falkov
‘The AI Alliance Russia brings together representatives from the university community and business who discuss the challenges faced by the higher education system as artificial intelligence is increasingly integrated into various sectors of the economy. One significant outcome of this collaboration was the establishment of a university ranking based on the quality of AI education,’ said Valery Falkov, Minister of Science and Higher Education of the Russian Federation.
Alexander Vedyakhin
Alexander Vedyakhin, First Deputy Chairman of the Executive Board of Sberbank and Chairman of the Supervisory Board of the AI Alliance, is convinced that the university's ranking of AI education quality not only reflects the level of Russian education in this field, but also serves as a roadmap for the development of Russia’s digital economy and technological sovereignty. ‘Investments in human capital and collaboration of science, education, and business create a solid foundation for innovation, driving national progress and enhancing the country's global competitiveness in the age of AI,’ he stressed.
Nikita Anisimov, HSE University Rector
‘Our success in the AI Alliance ranking results from the efforts of the entire ecosystem of the university and its partners, leaders of the IT industry. Today a high level of digital culture is common among both students and staff of HSE University, and research in artificial intelligence is becoming increasingly multidisciplinary.
Cooperation with leading Russian technology companies is our priority. We jointly implement degree programmes, conduct fundamental research, and introduce applied projects. Our goal is not only to strengthen AI competencies, but also to use new technology to help the country address key national development challenges.’
At HSE University, the leader of the AI Alliance ranking, students of all majors gain digital skills and learn how to use AI technologies. The Faculty of Computer Science and other departments of the university, together with leading industrial partners, have launched degree programmes in artificial intelligence. AI is also being actively developed at other HSE campuses.
Ivan Arzhantsev, Dean of the HSE Faculty of Computer Science
HSE University has achieved the top position in the AI Alliance rankings for universities based on the quality of their education in the field of AI. This is a significant achievement for us. We believe that it is the result of our strategy that combines fundamental research in AI with industrial partnerships. At the Faculty of Computer Science, we focus not only on training specialists but also on creating an ecosystem where science, education, and industry go hand in hand to drive innovation and development in the field of artificial intelligence.’
Mikhail Mukhin, Dean of the School of Computer Science, Physics and Technology at HSE Univesity in St Petersburg
‘The leading position of HSE University in the AI Alliance ranking is a reflection of our systematic efforts to provide the best education in this field. By launching the School of Computer Science, Physics, and Technology at our St. Petersburg campus, in collaboration with VK, we have created a unique ecosystem for training AI professionals. Our success demonstrates the power of combining academic excellence with practical experience from industry partners.’
Sergey Roshchin, HSE University Vice Rector
‘The ranking results are extremely significant for our university. First of all, this is an external assessment by leading employers in the BigTech field, united in the AI Alliance. This evaluation confirms the high standard of education and the effectiveness of the educational model we have chosen, which provides that all university students acquire digital competencies and skills for working with AI. In addition, it’s should be noted that HSE managed to move into the A++ group for the first time. This indicates recognition of our successful development, ability to respond to new challenges, and achievement of technological leadership.’
See also:
Scientists Test Asymmetry Between Matter and Antimatter
An international team, including scientists from HSE University, has collected and analysed data from dozens of experiments on charm mixing—the process in which an unstable charm meson oscillates between its particle and antiparticle states. These oscillations were observed only four times per thousand decays, fully consistent with the predictions of the Standard Model. This indicates that no signs of new physics have yet been detected in these processes, and if unknown particles do exist, they are likely too heavy to be observed with current equipment. The paper has been published in Physical Review D.
HSE Scientists Reveal What Drives Public Trust in Science
Researchers at HSE ISSEK have analysed the level of trust in scientific knowledge in Russian society and the factors shaping attitudes and perceptions. It was found that trust in science depends more on everyday experience, social expectations, and the perceived promises of science than on objective knowledge. The article has been published in Universe of Russia.
Institute for Robotics Systems Established at HSE University
As decided by the HSE University Academic Council, a new Institute for Robotics Systems will be established at HSE, and with a strong fundamental base. It will cooperate with relevant departments across the university and engage students and doctoral candidates in research and development (R&D). First Vice Rector of HSE University and Director of the Institute for Statistical Studies and Economics of Knowledge, Leonid Gokhberg, discussed the expected practical results and the framework for cooperation with an industrial partner.
Final of International Yandex–HSE Olympiad in AI and Data Analysis Held at HSE University
Yandex Education and the HSE Faculty of Computer Science have announced the results of the international AIDAO (Artificial Intelligence and Data Analysis Olympiad) competition. Students from 14 countries took part. For the second year in a row, first place went to the team AI Capybara, which developed the most accurate AI model for an autonomous vehicle vision system.
AI Lingua Included in Compilation of Best International AI Practices in Higher Education
HSE University has been acknowledged internationally for its pioneering efforts in integrating artificial intelligence into higher education. The AI Lingua Neural Network developed at HSE was included in the renowned international collection ‘The Global Development of AI-Empowered Higher Education: Beyond the Horizon.’ The compilation was prepared by the Institute of Education (IOE) of Tsinghua University with the support of the Ministry of Education of the People's Republic of China and a global advisory committee, which included experts from Oxford, UCL, Sorbonne, Stanford, and other leading academic centres.
Technological Breakthrough: Research by AI and Digital Science Institute Recognised at AI Journey 2025
Researchers from the AI and Digital Science Institute (part of the HSE Faculty of Computer Science) presented cutting-edge AI studies, noted for their scientific novelty and practical relevance, at the AI Journey 2025 International Conference. A research project by Maxim Rakhuba, Head of the Laboratory for Matrix and Tensor Methods in Machine Learning, received the AI Leaders 2025 award. Aibek Alanov, Head of the Centre of Deep Learning and Bayesian Methods, was among the finalists.
HSE Tops Ranking of Universities Participating in Priority 2030 Programme
The Russian Ministry of Science and Higher Education has published an updated list of participants in the Priority 2030 programme. A total of 106 universities will receive support this year. HSE University was included in the first group and topped the ranking.
HSE Psycholinguists Launch Digital Tool to Spot Dyslexia in Children
Specialists from HSE University's Centre for Language and Brain have introduced LexiMetr, a new digital tool for diagnosing dyslexia in primary school students. This is the first standardised application in Russia that enables fast and reliable assessment of children’s reading skills to identify dyslexia or the risk of developing it. The application is available on the RuStore platform and runs on Android tablets.
HSE University to Join Physical AI Garage Project by Yandex
Yandex is collaborating with leading Russian universities to launch a new educational programme called Physical AI Garage. This initiative unites five universities—HSE University, ITMO, MIPT, MAI, and MEPhI—to train future professionals in physical artificial intelligence by tackling real-world industrial challenges. The programme is free, and participants will receive scholarships.
HSE Scientists Optimise Training of Generative Flow Networks
Researchers at the HSE Faculty of Computer Science have optimised the training method for generative flow neural networks to handle unstructured tasks, which could make the search for new drugs more efficient. The results of their work were presented at ICLR 2025, one of the world’s leading conferences on machine learning. The paper is available at Arxiv.org.