HSE University Receives Highest Grant under Priority 2030 Programme
HSE University has proved its leading position in the first group of the ‘Research Leadership’ field under the Priority 2030 programme. The university has also received the highest grant for teaching digital competencies to students, demonstrating its educational leadership in the fields of digital technologies and AI.
HSE University Vice Rector
‘Since 2017, HSE University has been continually developing its concept for the comprehensive teaching of digital and big data competencies to students across all educational programmes and fields. This produces results and lays the foundation of HSE University’s leadership in education in the field of AI. It will also allow us to further develop AI tools and work with big data in relation to various subject areas.’
With support from the Ministry of Education and Science and the Ministry of Digital Development, the Data Culture Project—now a required subject for all HSE University students—has been integrated into the ‘Digital Department’ project of the Priority 2030 programme since 2022.
Students in all fields learn methods and tools for analysing big data in order to solve professional tasks. Representatives of leading Russian digital companies are involved in independently assessing the development of comprehensive digital skills.
Head of the HSE University Big Data and Information Retrieval School and the Digital Department project
‘Today, Data Culture is a large system; every year, we attract more than a hundred teachers and assistants, develop new methodological materials, create online courses, and work with academic supervisors to develop new opportunities for students through courses and projects. Our teachers include developers and analysts from major IT companies, and our graduates are actively involved in the project. Without doubt, Data Culture is the foundation that has allowed us to take a leading position in teaching digital skills to students.
And this is only the start of the journey. There is a qualitative shift underway in the field of AI in relation to the emergence of large generative models and the growth in the amount of data available in many fields. Moden AI methods are largely rough around the edges and difficult to use. There are often no simple or easy-to-use tools, but we must still provide students of all fields with the skills to implement AI in their work. We are already designing and implementing courses on adapting neural network methods for applied tasks. In the near future, we will strengthen the project component of learning: every student must be able to demonstrate their digital competencies by completing a project using modern machine learning and AI methods. We believe that AI is an important tool which will transform many professions and processes, and our students will certainly be able to lead this transformation.’
HSE University is open to cooperation with other universities. The university’s educational IT module can be implemented not only within HSE double-degree programmes, but also independently in a hybrid or fully online format. The model developed at HSE University to integrate the digital competencies module into main educational programmes allows students in any field to attain digital competencies.
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HSE Shares Its Experience of Urban Strategies at International Summer School in China
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Scientists Develop Effective Microlasers as Small as a Speck of Dust
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‘Our Result Was Recognised Not Only Within the Project Defence but Also on International Scale’
This year, the European AI Conference (ECAI 2025) accepted an article titled ‘Multi-Agent Path Finding for Large Agents is Intractable’ by Artem Agafonov, a second-year student of the Applied Mathematics and Information Science Bachelor’s programme at HSE University’s Faculty of Computer Science. The work was co-authored by Konstantin Yakovlev, Head of the Joint Department with Intelligent Technologies of System Analysis and Management at the Federal Research Centre ‘Informatics and Management’ of the RAS and Associate Professor at the Faculty of Applied Sciences. In the interview, Artem Agafonov explained how he came up with the idea for the article and how he was able to present it at an A-level conference.
HSE Scientists Test New Method to Investigate Mechanisms of New Word Acquisition
Researchers at the HSE Centre for Language and Brain were among the first to use transcranial alternating current stimulation to investigate whether it can influence the acquisition of new words. Although the authors of the experiment have not yet found a link between brain stimulation and word acquisition, they believe that adjusting the stimulation parameters may yield different results in the future. The study has been published in Language, Cognition and Neuroscience.
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HSE University–St Petersburg and Universiti Teknologi Malaysia Release First Book of Mirror Laboratory
Malaysia hosted the AHIBS 'Weaving Horizons for Sustainable Impact' international conference, which featured the presentation of the first Russian–Malaysian book of research articles.