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Regular version of the site
Contacts

109028, Moscow,
11, Pokrovsky boulevard

Phone: +7 (495) 531-00-00 *27254

Email: computerscience@hse.ru

 

Administrations
First Deputy Dean Tamara Voznesenskaya
Deputy Dean for Research and International Relations Sergei Obiedkov
Deputy Dean for Methodical and Educational Work Ilya Samonenko
Deputy Dean for Development, Finance and Administration Irina Plisetskaya
Article
Reconstruction of the coupling between solar proxies: When approaches based on Kuramoto and Van der Pol models agree with each other

Savostianov A., Shapoval S., Shnirman M.

Communications in Nonlinear Science and Numerical Simulation. 2020. Vol. 83. P. 105149.

Article
Prime Geodesic Theorem in the Three-dimensional Hyperbolic Space

Balkanova O., Chatzakos D., Cherubini G. et al.

Transactions of the American Mathematical Society. 2019. Vol. 372. No. 8. P. 5355-5374.

Article
Magnetohydrodynamic Modeling of the Solar Wind Key Parameters and Current Sheets in the Heliosphere: Radial and Solar Cycle Evolution

E. V. Maiewski, Kislov R. A., Khabarova O. V. et al.

Astrophysical Journal. 2020. Vol. 892. No. 1. P. 1-17.

Article
Multidimensional frontier visualization based on optimization methods using parallel computations

Afanasiev A., Krivonozhko V., Lychev A. et al.

Journal of Global Optimization. 2020. Vol. 76. P. 563-574.

Article
Convergence rates for empirical barycenters in metric spaces: curvature, convexity and extendable geodesics
In press

Ahidar-Coutrix A., Le Gouic T., Paris Q.

Probability Theory and Related Fields. 2020.

About

Facts and Figures

2 189
students
10
degree programmes
1
doctoral school
247
staff
12
laboratories
8
russian science foundation grants

The Faculty of Computer Science was created with the goal of becoming one of the world’s leading faculties for developers and researchers in data analysis, machine learning, big data, bioinformatics, system and software engineering, and system programming.

Computer Science & Information Systems

  • 2020: 151-200 
  • 2019: 201-250 
  • 2018: 251-300 
  • 2017: 351-400 
  • 2016: 401-500 

Mathematics

  • 2020: 101-150 
  • 2019: 101-150
  • 2018: 101-150
  • 2017: 151-200 
  • 2016: 251-300 

Computer Science

  • 2020: 301-400
  • 2019: 301-400

Mathematics

  • 2019: 76-100
  • 2018: 76-100
  • 2017: 101-150

Computer science is rapidly developing, and education in this area cannot always keep up with IT industry challenges. With this in mind, Yandex created the School of Data Analysis in 2007 to provide additional training for university graduates. Soon, the need for a complete education cycle in computer science became evident. In 2014, collaborating with HSE University, Yandex helped co-found the Faculty of Computer Science. Ivan Arzhantsev, then the head of Yandex academic programmes, was made dean of the new faculty.

In cooperation with major companies like Yandex, Sberbank, SAS, Samsung, 1C, and many others, the Faculty provides both deep theoretical knowledge and hands-on practical experience in many branches of contemporary computer science.

At the same time, the Faculty collaborates with leading research centres such as Kharkevich Institute for Information Transmission Problems, Federal Research Centre for Computer Science and Control, Ivannikov Institute for Systems Programming, CERN, and Skoltech. Researchers from these institutions are involved in teaching, student supervision, and joint research projects.

The Faculty of Computer Science offers three bachelor’s degree programmes and seven master’s degree programmes.

The bachelor’s degrees are in applied mathematics and computer science, and in software engineering (instruction in Russian with some courses offered in English). There is also a double-degree data science and business analytics programme created in collaboration with the University of London (instruction in English).

The master’s programmes are in system and software engineering, statistical learning theory, and data science (instruction in English), as well as in bioinformatics, system programming, and financial technologies and data analysis (instruction in Russian with some courses offered in English). We also offer a unique fully online master’s degree programme in data science with instruction in English and the ability to study from anywhere in the world.

Any graduate is expected to be a highly skilled specialist with sufficient training in mathematics, programming, and computer science, and practical experience in a particular field