News

Admissions are open from January, 14 till February, 28

Mark Garnitsky, a student of the Data Analysis in Biology and Medicine master's programme is studying for one year at Ghent University in Belgium. We asked Mark to tell us about his story at the Faculty of Computer Science, his academic mobility experience and the social life during the pandemic.

On December 23, HSE Rector Nikita Anisimov and HSE President Alexander Shokhin granted awards to staff members for their outstanding multi-year contribution to the development of HSE University

The HSE Faculty of Computer Science, Yandex, and Otkritie Bank are holding the fifth International Data Analysis Olympiad (IDAO). There will be two competition stages: the qualifying round will last from February 1 to 28, 2022, and the finals will take place from April 16-17. Registration for the event is already underway.

Students of the Data Science and Business analytics double degree programme receive awards and letters of commendation for their academic achievements.

Ten universities and institutes have announced a partnership to construct an electron-positron collider in order to study the production and properties of charmed particles and tau leptons. The new experiment will be part of the Super C-Tau Factory project. It was founded by two international teams and eight from Russia, including HSE University.

Master of Data Science is Russia's first English-language master's programme delivered entirely online on the Coursera educational platform.

On October 26-30, Statistics, Artificial Intelligence, Machine Learning, Probability, Learning Theory Event (SAMPLE) conference took place in Gelendzhik, Russia.

35th Conference on Neural Information Processing Systems (NeurIPS 2021) is one of the world's largest conferences on machine learning and neural networks. It takes place on December 6-14, 2021.

Researchers of the Laboratory of Complex Systems Modeling and Control have proposed a missing component of the mechanism of self-organized criticality, which will enable the reproduction of power-law patterns observed in the real world. According to the researchers, this can be used to improve our understanding of the the processes leading to strong earthquakes, forest fires, financial market crashes, and a sudden synchronization of social networks. The results of the research were published in the Scientific Reports journal.