HSE University Establishes Cybersecurity Department

The HSE University Moscow Tikhonov Institute of Electronics and Mathematics (MIEM) has established a new Department of Cybersecurity. This move consolidates MIEM’s educational, scientific, and expert resources in information and computer security, expands its portfolio of educational programmes, strengthens partnerships with industry leaders, and enhances HSE’s position as a leading centre of cybersecurity competence.
Cybersecurity is developing rapidly. Cyber attacks on Russia’s critical information infrastructure have intensified, and information warfare has escalated. The exit of Western companies from the Russian market has created opportunities for domestic firms, though these are accompanied by obvious challenges—namely, a shortage of personnel and a technological backlog in several areas.
HSE MIEM has accumulated unique expertise in information and cybersecurity. The Institute runs five educational programmes at all levels (bachelor’s, specialist, and master’s degree), with approximately 1,200 students currently enrolled. These programmes are delivered by two departments and a Joint Department with InfoWatch.
The establishment of the Cybersecurity Department will allow the Institute to concentrate its accumulated expertise in one centre, upgrade collaboration with industrial partners—leading vendors and employers, —and focus more on strengthening priority research areas. It will eliminate the duplication of solved tasks and expand the portfolio of educational programmes for both higher and continuing education.
The new department will be headed by Oleg Evsyutin, Head of the Department of Cyber-Physical Systems Information Security and Academic Supervisor of the master’s programmes Information Security and Artificial Intelligence Technologies and Cybersecurity. Specialists from three departments—the Department of Cyber-Physical Systems Information Security, the Department of Computer Security, and the Joint Department with InfoWatch—will join the new department’s faculty and staff.
HSE University Vice Rector and Director of MIEM
‘The creation of the Cybersecurity Department is a natural step in the development of information security at MIEM. Ten to fifteen years ago, cybersecurity was a specialised technical area, but today it has become a strategic priority for business and government. The scale of the industry has changed: we are witnessing a massive increase in demand for personnel and research. MIEM has always been one of the leading universities in the information security segment. We have strong specialists, expertise, research groups, and an effective educational process. However, the new scale of the challenges we face requires structural changes. I am confident that the consolidated department, headed by Oleg Evsyutin, will help HSE University assume a leading position in the field of cybersecurity in Russia.’
The department will initially focus on reviewing the content of existing educational programmes with the involvement of expert practitioners from leading specialised organisations. New programmes will also be launched in cooperation with major technology and financial companies.
A key research task is to consolidate the efforts of HSE MIEM’s leading specialists, project teams, and research groups engaged in fundamental and applied work. Primary focus areas will include: the development of cryptographic information security systems (such as quantum and post-quantum cryptography and those using supercomputer methods); steganographic methods and digital watermarking; advanced wireless and quantum communication networks; automated information security systems; protection methods for the credit and financial sector; computer incident investigation systems; and artificial intelligence protection systems.
This last area has become particularly relevant, as information security tools are now being created using artificial intelligence technologies, which themselves require protection. Consequently, HSE University will launch a new Master’s Programme in Information Security of Artificial Intelligence Systems in 2026. This programme will be delivered entirely online.
Below is a list of educational programmes in information and cybersecurity currently offered by MIEM.
Bachelor’s programmes:
Specialist programmes:
Master’s programmes:
Information Security and Artificial Intelligence Technologies
Information Security in the Financial Sector
Information Security of Artificial Intelligence Systems (new programme, first intake in 2026)
The Department will also create a portfolio of Continuing Professional Development (CPD) programmes for both specialists and senior managers, covering topics such as information security methodologies, personal data protection, and secure development skills. These new CPD programmes will be delivered in partnership with leading experts and relevant organisations.
Head of the Cybersecurity Department
‘Our primary and most ambitious task is to strengthen HSE University’s position as a leading centre of excellence in information security. This means prioritising partnership in education, science, and applied research with industry leaders. We already have an impressive list of partners with whom we engage in numerous collaborations. Internally at HSE, we cooperate with the Joint Department with the Bank of Russia, the Faculty of Computer Science, and the Information Security Centre. Externally, we actively work with the Academy of Cryptography of the Russian Federation, the Bank of Russia and major banks, the Ministry of Education of the Russian Federation, the Netology educational platform, and leading information security companies such as InfoWatch, Positive Technologies, Solar, Infotecs, and many others. We plan to develop our educational and scientific cooperation further with both trusted partners and new high-tech companies.’
See also:
Researchers Discover How Spelling Errors Slow Down Reading in Russian
Psycholinguists from the Centre for Language and Brain at HSE University–St Petersburg have shown that words that are frequently misspelled are processed more slowly by readers, even when presented with the correct spelling. The researchers confirmed this effect for the first time using Russian-language materials and found that response speed is most strongly linked to how confidently individuals can distinguish the correct spelling of a word from an incorrect one. The study has been published in The Mental Lexicon.
Scientists Discover Why Europium 'Misbehaves'
Europium is a rare-earth metal responsible for the pure red glow in displays and other luminescent materials. For a long time, however, it refused to emit light when surrounded by certain organic molecules known as acylpyrazolone ligands. Chemists have now uncovered the reason: in europium complexes with these ligands, a 'black window' appears—a charge-transfer state in which the energy absorbed by the ligand is dissipated as heat rather than emitted as light. Understanding this mechanism opens the way to designing more efficient red-emitting materials for displays, fluorescent thermometers, and chemical sensors. The results have been published in Dalton Transactions.
HSE Economists Reveal How the Wage Gap Emerges Among Vocational School Graduates
HSE researchers examined the careers of 600,000 graduates of Russian secondary vocational education programmes and found that at the start of their careers, the gender wage gap reaches 23%, doubling after three years. This disparity is largely due to male and female students choosing different occupations when enrolling in vocational schools. These were the findings made by Sergey Roshchin, Natalya Yemelina, and Ksenia Rozhkova from of the HSE Faculty of Economic Sciences. The article has been published in Educational Studies.
HSE Researchers Make Aldehydes Perform Dual Function
Chemists from HSE University have discovered a way to carry out a reductive addition reaction without using an external reducing agent. Instead, the required 'resource' is supplied by the aldehyde itself, one of the reaction participants. This approach helps prevent unwanted side reactions, reduces toxicity, and simplifies the production and synthesis of organic molecules, including those used in the manufacture of medicines. The study has been published in Journal of Catalysis.
Tabular Data Anonymisation Solution for Safe Use in AI Systems Developed at HSE University
The AI and Digital Science Institute at the HSE Faculty of Computer Science has developed a tabular data anonymisation service designed to prepare corporate datasets for use in analytics and AI applications. The solution can identify personal data in structured datasets, apply consistent and reproducible anonymisation rules, and generate the artifacts required for quality control, auditing, and subsequent use of data in secure environments.
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
HSE Study Reveals Imbalance in the Generative AI Market
Researchers at HSE University analysed how effectively the global generative artificial intelligence market converts investment into real revenue, concluding that AI is currently developing faster than it is paying off. The results have been published in the journal Foresight and STI Governance.
‘Entering Robotics Now Means Growing with the Area’
Unmanned vehicles, courier robots, and smart speakers are rapidly becoming a part of our lives. In 2026, the HSE Faculty of Computer Science opens its new Bachelor’s Programme ‘Design of Intelligent Robotic Systems’ (DIRS). It will train specialists at the intersection of IT, artificial intelligence, and robotics. Academic Supervisor of DIRS Vadim Morgachev explains how studies are organised and why graduates of the programme ‘will definitely be accepted into the future.’
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.


