Dean — Ivan Arzhantsev
First Deputy Dean— Tamara Voznesenskaya
Deputy Dean for Research and International Relations - Sergei Obiedkov
Deputy Dean for finance and administration - Irina Plisetskaya
Phone: +7 (495) 772-95-90 * 12332
125319, Moscow, 3 Kochnovsky Proezd (near metro station 'Aeroport').
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.
Osokin A., Chessel A., Carazo Salas R. E. et al.
In bk.: Proceedings of the IEEE International Conference on Computer Vision (ICCV 2017). Venice: IEEE, 2017. P. 2252-2261.
Vsevolod L. Chernyshev, Tolchennikov A. A.
Regular and Chaotic Dynamics. 2017. Vol. 22. No. 8. P. 937-948.
Vereshchagin N., Kaced T., Romashchenko A.
IEEE Transactions on Information Theory. 2018. Vol. 64. No. 5. P. 3610-3615.
Nesterov Y., Shikhman V.
European Journal of Operational Research. 2018. P. 1-10.
Decrouez G. G., Grabchak M., Paris Q.
Bernoulli: a journal of mathematical statistics and probability. 2018. Vol. 24. No. 3. P. 1910-1941.
The Faculty of Computer Science was created in March 2014 with the goal of becoming one of the world’s top 30 faculties in training developers and researchers in the field of big data storage and processing, system and software engineering and system programming.
The computer sciences (informatics, applied mathematics, and programming) are developing rapidly, and education in this area cannot always keep up with the changes and the real needs of the IT industry. With this problem in mind, Yandex opened the School of Data Analysis almost seven years ago in order to provide additional training for master’s students. The company has now decided to include bachelor’s students as well. Yandex has been working with the Higher School of Economics for a long time, and the HSE supports this initiative.
Yandex developed the concept of the faculty, and together with the HSE, an educational programme has been created. The head of Yandex’s academic programmes, Ivan Arzhantsev, has been named dean of the new faculty.
The new faculty includes three departments and four joint departments. Two of the departments are based on existing HSE divisions: the School of Software Engineering, headed by Sergey Avdoshin, and the Department of Data Analysis and Artificial Intelligence, overseen by Sergei Kuznetsov. Another department – the Department of Big Data and Information Retrieval – is based on the Joint Department with Yandex. The head of the Big Data and Information Retrieval Department will be Vladimir Podolskii, and of the Joint Department – Maxim Babenko. The new faculty also includes the Department of Technologies of Complex Systems Modeling, which was created in cooperation with the Institute for Information Transmission Problems of the Russian Academy of Sciences and will be headed by Alexander Kuleshov, a member of the Russian Academy of Sciences. The Joint Department with the Institute for System Analysis of the Russian Academy of Science will be headed by the director of the institute, Yuri Popkov, who is an academician of the Russian Academy of Sciences. The Joint Department of System Programming was established in 2015 in conjunction with the Institute of Systems Programming (ISP), which is part of the Russian Academy of Sciences, headed by Viktor Ivannikov and later by Arutyun Avetisyan.
Faculty members include employees from tech companies including Yandex and ABBYY, many of which have won championships such as the ACM International Collegiate Programming Contest- the gold standard of computer science education in Russia. Yandex will organize workshops, internships, and academic seminars and will also be a potential employer for the students.
In addition, representatives from leading Russian IT groups – the Institute for Information Transmission Problems (Kharkevich IITP RAS), the Institute for Systems Analysis (ISA RAS), and the Dorodnitsyn Computing center (CC RAS) – will be involved in teaching at the faculty. Such individuals will also take part in developing topics for term papers, theses and research projects.
Where should you apply?