News

Three HSE students from the Faculty of Mathematics and the Faculty of Computer Science won medals at the Vojtěch Jarník International Mathematical Competition held in the Czech Republic. Nikita Gladkov, a mathematics student, scored maximum points and was recognized as the outright winner in his category.

Each year HSE holds the Student Project Contest, which allows projects deemed important for the development of the university at least and all of society at most to receive financial, organisational, or any other type of support to help them succeed.

On 27th of March the Faculty of Computer Science has hosted an international masterclass on data analysis at the Large Hadron Collider for high-school students. This worldwide event organized by CERN and coordinated by Technical University of Dresden has attracted more than 13000 students from 52 countries. The Moscow masterclass was performed in joint effort of Lyceum 1575 (Moscow), Lyceum 5 (Dolgoprudny, Moscow Region) and Kapitsa Phystech Lyceum (Dolgoprudny, Moscow Region). 

HSE has become one of three Russian universities to receive maximum points for the implementation of the Russian Academic Excellence Project. These results were announced following a meeting of the Council on Enhancing the Competitiveness of Leading Russian Universities among the Global Rresearch and Education Centres.

The Higher School of Economics has made it onto 13 subject and two subject area rankings in the QS World University Ranking thanks to the university’s achievements as part of the Project 5-100. In addition, HSE was in the top 100 ranking for three subjects – Economics & Econometrics, Politics & International Studies, and Sociology – and it was the only Russian school in the Accounting & Finance 101-150 ranking. As for total number of subject rankings, HSE was third in Russia.

The Higher School of Economics gradually takes higher positions in the authoritative World University Rankings. At the same time, the University is becoming more and more popular among international students. On the one hand, foreigners can apply to study for free through full-tuition scholarships which completely waive all tuition fees for select full-degree Bachelor's and Master's programmes at HSE. On the other hand, tuition fees in HSE appear to be lower than in many universities outside Russia. We have talked to English speaking graduates of the English-taught Master’s programme System and Software Engineering and found out about their experience of studying in HSE, life in Moscow, and what do they do as professionals now.

At the end of December new issue of Higher Education in Russia and Beyond journal was presented. The issue is dedicated to IT education and Computer Science developing in Russia. Several faculty staff participated in the issue’s preparation: speakers I. Arzhantsev, M. Gustokashin, A. Konushin, V. Kuliamin, A. Petrenko, V. Podolskii, A. Sobolevski, V. Shilov were speakers and guest editor S. Zavarin.

Sergey Shershakov is 2012 graduate of the HSE master’s programme in System and Software Engineering, lecturer of a course in Data Algorithms and Structures, a researcher at the Laboratory of Process-Aware Information Systems (PAIS Lab), and participant of the Young Faculty Support Programme in the Category ‘New Researchers’. Sergey told us what Process Mining is, how to keep your knowledge up-to-date without working in the industry, and why HSE graduates don’t have to ‘forget everything they’ve been taught’.

The Higher School of Economics and Université Grenoble Alpes (Grenoble Alpes University) have signed a cooperation agreement, initiated by HSE Faculty of Computer Science. Under the agreement the universities will organize academic exchange programmes, research and educational activities, and joint research projects.

On December 23, 2016, the HSE Academic Council approved the creation of four new laboratories: the International Laboratory for the Study of Russian and European Intellectual Dialogue, the International Laboratory for Population and Health Studies, the International Laboratory of Deep Learning and Bayesian Methods, and the International Laboratory for Supercomputer Atomistic Modelling and Multi-scale Analysis.