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Experts in computer technology from HSE University and the Joint Institute for Nuclear Research (JINR) discussed collaboration and joint projects at a meeting held at the Meshcheryakov Laboratory of Information Technologies (MLIT). HSE University was represented by Lev Shchur, Head of the Laboratory for Computational Physics at the HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM), as well as Denis Derkach and Fedor Ratnikov from the Laboratory of Methods for Big Data Analysis at the HSE Faculty of Computer Science.

In early February, the HSE Cultural Centre hosted ‘IT Session: Immersion in the Data World’, a winter school on analytics and data science organised by the Continuing Education Centre of the Faculty of Computer Science. More than four hundred participants attended lectures by speakers from Yandex, T-Bank, MTS, Okko, Kuper, Avito, Bank of Russia, Beeline, as well as FCS experts. The event gathered both early-career analysts and students, as well as experts seeking to better understand how analytics and data science can be applied in various industries.

Starting from 2025, HSE University applicants will be able to enrol in a Bachelor's programme in Game and Digital Product Development—the only programme of its kind in Russia. The course will combine design, programming, mathematics, production, management, and marketing. It will enable students to master the full cycle of digital product development from creation to effective promotion. The programme is taught in Russian.

A special session of HSE Science Battles has taken place at the HSE Cultural Centre. This time, the speakers represented their student organisations and scientific fields. The evening brought together ideas about the future—from metaverses and deciphering ancient languages to neuromodular chips and the prospects of social sciences.

Pavel Voloshchuk has been developing and researching educational products for 14 years. Since August 2024, he has led two master's programmes at the HSE Faculty of Computer Science: ‘Research and Entrepreneurship in Artificial Intelligence’ and ‘Master of Data Science.’ In this interview, he talks about his career path, time management, and the specifics of academic supervision.