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Dean — Ivan Arzhantsev
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
Phone: +7 (495) 772-95-90 * 12332
, 3 Kochnovsky Proezd (near metro station 'Aeroport').
Applied Mathematics and Information Science
HSE and University of London Double Degree Programme in Data Science and Business Analytics
Software Engineering
Data Analysis in Biology and Medicine
Mathematical Methods of Optimization and Stochastics
Data Science
System and Software Engineering
System Programming
Statistical Learning Theory
Financial Technologies and Data Analysis
Bienvenu M., Kikot S., Kontchakov R. et al.
Journal of the ACM. 2018. Vol. 65. No. 5. P. 28:1-28:51.
In press
Doikov Nikita, Richtarik P.
Proceedings of Machine Learning Research. 2018. No. 80. P. 1290-1298.
In press
Hushchyn M., Chekalina V.
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2018. P. 1-2.
In press
Naumov A., Spokoiny V., Ulyanov V. V.
Probability Theory and Related Fields. 2019. P. 1-42.
Shapoval A., Le Mouël J., Shnirman M. et al.
Astronomy and Astrophysics. 2018. Vol. 618. P. A183-1-A183-13.
The faculty trains developers and researchers. The programme has been created based on the experience of leading American and European universities, such as Stanford University (U.S.) and EPFL (Switzerland). Also taken into consideration when creating the faculty was the School of Data Analysis, which is one of the strongest postgraduate schools in the field of computer science in Russia. The wide range of elective courses will allow each student to create his or her own educational path. In the faculty, learning is based on practice and projects.
Education
In March 2014 HSE — together with Yandex, a major Russian IT company — opened its new Faculty of Computer Science. The Faculty aims at preparing highly qualified data scientists, software engineers, and computer science researchers for leading Russian and international IT companies and academic institutions.
Faculty alumni are expected to obtain a number of competencies that can be summed up as follows:
1. Coding skills, i.e., the ability to develop an elaborate software product both individually and as part of a team;
2. Knowledge of the branches of mathematics that are fundamental for computer science and ability to handle mathematical concepts;
3. Mastery of a specific area of expertise and ability to solve tasks within a specific application domain;
4. Fluency in English that is necessary for professional work in an English-speaking environment.
The Faculty of Computer Science offers three undergraduate programmes and six graduate programmes.
Bachelor’s programmes:
- Applied Mathematics and Informatics (in Russian)
- Software Engineering (in Russian)
- HSE and University of London Double Degree Programme in Data Science and Business Analytics (in English)
Master’s programmes:
- Data Science (in Russian with some courses in English)
- System and Software Engineering (in English)
- Statistical Learning Theory (in English)
- Data Analysis for Biology and Medicine (in Russian with some courses in English)
- Financial Technologies and Data Analysis (in Russian)
- System Programming (in Russian with some courses in English)
Doctoral programme:
In total, there are over 1518 students (including master’s and postgraduate students) studying at the Faculty in 2017/2018.
Our students are highly qualified. The Unified State Examination GPA of the freshmen enrolled in the Applied Mathematics and Information Science programme grew from 93.1 to 94.2 to 96.5 (out of 100) in 2014–2016; the GPA of those enrolled in the Software Engineering programme in 2014, 2015, and 2016 was 92.4, 92.0, and 94.9, respectively.