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Regular version of the site

The Data Mining Programme is aimed at preparing master’s students with a deep fundamental knowledge in many areas of contemporary applied mathematics, including data analysis, language-processing tasks, applied computer and corpus linguistics tasks, machine learning, models and algorithms for solving optimization tasks, game theory, network analysis technology, modern probability theory, and mathematical statistics. Graduates of the Programme are given the necessary knowledge to develop new mathematical models and effective algorithms to solve complex tasks that arise in real life.

2 years
Full-time Programme
145 000 RUB/year
Tuition Fee in 2018
RUS
Instruction in Russian

News

First International Data Analysis Olympiad to Be Held in Russia

The IDAO (International Data Analysis Olympiad), created by leading experts in data analysis for their future colleagues, aims to bring together analysts, scientists, professionals, and junior researchers from all over the world on a single platform. This is the first time an event of this scale will be held in Russia. The HSE Faculty of Computer Science, Yandex and Harbour. Space University organize the Olympiad with the support of Sberbank.

Professor Pardalos is included in the top list of the most cited scientists in Computer Science

HSE Moves up 10 Positions in QS EECA Ranking

On its 25th anniversary, the Higher School of Economics (HSE) took 25th place in the QS EECA (Emerging Europe & Central Asia) Ranking, thus improving its result by 10 positions as compared with last year. This ranking includes 300 positions and takes into account higher education institutions in transitional European and Central Asian countries.

Congratulation to Dmitry Sirotkin

6th International Conference on Network Analysis Took Place at HSE Nizhny Novgorod

The conference on network analysis aims to bring together scientists and engineers, representatives from the government and universities to exchange knowledge and results on a broad range of topics related to the theory and practice of network analysis. The conference also covered algorithms on graphs, networks, discrete optimization and applications.