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Regular version of the site
109028, Moscow,
11, Pokrovsky boulevard.
Phone: +7 (495) 531-00-00 *27254
Email: computerscience@hse.ru
Administrations
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
Events
Nov 26 – Nov 30
Feb 19 2020 – Feb 22 2020
Bachelor’s and Master’s programmes
Bachelor’s programme
Applied Mathematics and Information Science
4 years
Full-time Programme
RUS
Instruction in Russian
Bachelor’s programme
HSE and University of London Double Degree Programme in Data Science and Business Analytics
4 years
Full-time Programme
ENG
Instruction in English
Bachelor’s programme
Software Engineering
4 years
Full-time Programme
RUS
Instruction in Russian
Master’s programme
Data Analysis in Biology and Medicine
2 years
Full-time Programme
RUS/ENG
Instruction in Russian and English
Master’s programme
Master of Data Science
2 years
eLearning programme
ENG
Instruction in English
Master’s programme
Data Science
2 years
Full-time Programme
ENG
Instruction in English
Master’s programme
System and Software Engineering
2 years
Full-time Programme
ENG
Instruction in English
Master’s programme
System Programming
2 years
Full-time Programme
RUS
Instruction in Russian
Master’s programme
Statistical Learning Theory
2 years
Full-time Programme
ENG
Instruction in English
Master’s programme
Financial Technologies and Data Analysis
2 years
Full-time Programme
RUS/ENG
Instruction in Russian and English
Article
Arzhantsev I., Kuyumzhiyan K., Zaidenberg M.
Advances in Mathematics. 2019. Vol. 351. P. 1-32.
Article
Sulimov P., Voronkova A., Danilova Y. et al.
Journal of Proteome Research. 2019. Vol. 18. No. 5. P. 2354-2358.
Article
Grachev A., Ignatov D. I., Savchenko A.
Applied Soft Computing Journal. 2019. Vol. 79. P. 354-362.
Book chapter
Makhalova T., Kuznetsov S., Napoli A.
In bk.: 2019 Data Compression Conference Proceedings. IEEE, 2019.
Article
Шеин А. В., Zaikin A., Poptsova M.
Scientific Reports. 2019. Vol. 9. No. 7211. P. 1-16.
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.
Seminars
Tag "Coursera" – News
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