Data Science (online)

Data Scientist is the most in-demand job in the field of Big Data. Master the best practices and technologies of the rapidly developing IT sector at the intersection of intelligent technologies and business and work remotely from anywhere in the world. Data scientist key responsibilities are processing and analyzing large amounts of unstructured data, creating predictive models using mathematical methods, training neural networks, working on new products and optimizing key business processes for production and society.

According to recruiting agencies, thousands of companies in Russia are looking for specialists in the field of Data Science. The average salary of graduates employed in the IT sector is around 200,000 rubles and it has no upper limit in practice.

2 years of study

Online learning in Russian

College of Computer Sciences

Major # 09.04.01
Computer Science & Engineering

425 000 ₽
Admission for International Students

Via e-mail: welcome@misis.ru

Or you can do that personally by address: Moscow, Leninsky Prospekt 6, block 3, room G-369 (College of Mining/G-building).

International Students Service +7 499 230-24-09

Major details

14
subjects in the field of programming and data science

Python Programming Course

Mathematics for Data Science

Data Storage and Processing Systems

Teachers

Denis Vladimirovich Kalitin

Ph.D. in Engineering, Associate Professor, Deputy Head of the College of Computer Sciences

Scientific work is aimed at research in the field of artificial neural networks, simulation modeling of complex systems, as well as research in the field of discrete structures.

+7 495 638-44-74
kalitindv@misis.ru

Armine Seyranovna Hovhannisyan

Doctor of Technical Sciences, Professor of the Department of Computer-Aided Design and Engineering

oganesyan.as@misis.ru

Luiza Revmirovna Kim-Tyan

Ph.D. in Physics and Mathematics, Associate Professor, Deputy Head of the Department of Mathematics

+7(499)236-70-28
kim.lr@misis.ru

Evgeny Alexandrovich Kalashnikov

Ph.D. in Engineering, Associate Professor at the Department of Infocommunication Technologies

Research interests: modeling and optimization of production systems

+7 499 230-26-33
kalashnikov.ea@misis.ru

Professions

  • Data Scientist
  • Machine Learning Engineer
  • Computer Vision Engineer
  • AI Interaction Designer
  • System Integrator
  • Project Manager
  • IT Project Manager
  • System Analyst
  • Big Data Engineer
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The Master’s program is the continuation of the undergraduate program in Industrial Design and Engineering that has a multitrack format. Industrial design is a key element in product creation, an innovation driver, and the basis for stability in economics. The development of this field and the attraction of new specialists facilitate the competitive capacity of enterprises and hasten the process of transition to the digital era.

Data Engineering (online)

Immerse yourself in the field of Data Science and build a career as a data engineer. The program in Data Engineering produces in-demand and highly paid specialists to work in teams of developers and analysts in a wide variety of fields: IT, banking, marketing, online retail, manufacture, telecommunication.

The program has educational tracks. During the learning process you can choose one of three educational tracks: “Data Engineering”, “Python Developer” or “Machine Learning”. Only paid education is available.

Natural Language Processing

As data amounts increase every year in the modern world, many companies are interested in creating tools to filter, generate and identify workflow. The development of natural language processing (NLP) technologies helps businesses solve problems in text and speech analysis and computer processing using artificial intelligence and machine learning algorithms. During the Master’s program in Natural Language Processing, students will study major branches of traditional linguistics and applied data analysis algorithms, gain necessary skills for programming, learn how to create speech recognition systems and digital assistants (Alisa, Marusya, Siri) and will be able to process a large request and document stream, detect spam and define the emotional coloring of the text. Graduates will become in-demand NLP specialists who can work in high-profile IT companies as well as small startups connected with data analysis.