Data Science

In the modern digital world, more and more in-demand professionals have competencies in Data Science. The knowledge gained through this program will allow graduates to work in various companies around the 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. This is all a specialist area of expertise in Data Science.

2

years
of study

120 ECTS Full-time mode

Informatics and Computer Technologies

Major code №09.04.01

Brochure
Curriculum
Examination content

Tuition fee 265 000 rubles/year

Minimal entrance exam score — 40 points

Head of the Program

Alexander Gorbatov

PhD & DSc

+7 499 230-24-04
apd@misis.ru

International Students Services


Svetlana V. Dubrovskaya

Head of the International Students Services

+7 499 230-24-09

mp@misis.ru

Program

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.

15

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

7

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

PhD

Research focus: 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

Research focus: Machine learning, Artificial neural networks, Graph theory, Simulation modeling

Supervision Plan: 1-2 students per year


Nikolay Zakharov

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

Supervision Plan: 1-2 students per year


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