Data Science

The program produces high-demand professionals and allows graduates to work in various companies around the globe. In the modern digital world in any branch of human activity it is necessary to process data, find hidden patterns and predict the future behavior of an object based on its past state.

of study

120 ECTS Full-time mode

Informatics and Computer Technologies

Major # №09.04.01

Examination content

Tuition fee is 380 000 rubles per the 1st year (relevant for 2023/24 academic year).

Minimal entrance score is 40 points.

Head of the program

Alexander Gorbatov

Doctor of technical sciences, professor technical

International Students Services

Li Elina Valerevna

Chief specialist in professional navigation and work with applicants


By having acquired the Master’s degree our highly qualified specialists will be able to apply their skills in research, production sphere, in the sphere of management, etc. Graduates are in demand in various industries: banking, engineering production, research laboratories, medical centers, IT-companies in the sector, and others.


courses in project management, artificial intelligence, data warehousing, applied data science in digital projects, and others.

Research projects can be focused on the following fields:

  • Use of artificial neural networks for solving data analysis problems
  • Various applications of data analysis in discrete mathematics
  • Data science in Web-analytics
  • Applying data analysis in search engines.
  • Applications of data analysis for software engineering and business process models

Fundamental training via core and required courses:

  • Foreign Language (English / Russian)
  • Natural and Artificial Intelligence
  • Data Warehousing
  • Management of Quality
  • Project Management
  • Linux for Data Science
  • Mathematics in Data Science
  • Applied Data Science in Digital Projects


elective disciplines enable students to tailor the program to their needs

Machine Learning in Data Science

Data Science And Big Data Environment

Methods of Research and Modelling of Information Processes and Technologies

Artificial Neural Networks in Data Science

Discrete Mathematics

Modern IT-Systems in Economics and Industry and Digital Transformation for Metallurgy

Big Data and Complex Socio-Technical Systems

Computer-Aided Design of Software Systems

Operating Environment Innovative Software Systems

Tensor Method of Complex Systems Network Models

Object-oriented analysis and development. Development patterns using

Web-Services and SaaS-Services Design and Develop

Parallel Programming Technologies

Intelligent Software in Geological System

Research supervisors

Andrey Petrov

Doctor of Technical Sciences, Professor

Majors: Tensor method of complex systems network models and their application to technical and economic systems

Supervision Plan: 1-2 students per year

Denis Kalitin

PhD, Associate professor

Majors: Machine learning, Artificial neural networks, Graph theory, Simulation modeling

Supervision Plan: 1-2 students per year

+7 499 230-24-04

Nikolay Zakharov

Majors: Web-Analytics, Online marketing, Digital project development based on data analysis

Supervision Plan: 1-2 students per year

Artur Leonov

Agile Coach, Assistant

Majors: Majors: Agile for Data science, Agile project management, Applied data science in digital projects, Kanban Method

Supervision Plan: 1-2 students per year



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