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Vysshee Obrazovanie v Rossii = Higher Education in Russia

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The Modern World Landscape of Data Science Online Education

https://doi.org/10.31992/0869-3617-2022-31-4-129-147

Abstract

Data science as an emerging branch of applied knowledge and a new field of study is showing a strong momentum. Besides, the corresponding sphere of educational research is actively developing. At the same time, most of the scientific publications are aimed at studying specific issues related to the content of the programs and their methodological support. The wider context and especially the international perspective are lacking for the necessary attention of researchers.
In this regard, the purpose of our study was to summarize and systematize information about training programs in the field of data science presented on online platforms of the main macro-regions – America, Europe and Asia. For this purpose, we found out what elements the corpus of data science training programs consists of, as well as how courses are distributed on educational platforms by countries, organizational providers, level of education and duration of study. Based on the data obtained, we conducted a comparative interregional study of educational programs presented on online platforms.
The findings made it possible to draw conclusions about the specifics of the global landscape of data science online education, as well as to determine the specifics of the Russian segment and to formulate recommendations for solving significant problems of the domestic economy using data science online education.

About the Authors

V. S. Nikolskiy
Moscow State Polytechnic University
Russian Federation

Vladimir S. Nikolskiy – Dr. Sci. (Philosophy), Prof., Chief Editor of the journal of “Higher Education in Russia”

SPIN-code: 7196-8065

38, B. Semenovskaya str., Moscow, 107023



M. A. Lukashenko
Moscow University for Industry and Finance “Synergy”
Russian Federation

Marianna A. Lukashenko – Dr. Sci. (Economics), Prof., Head of the Department of Corporate Culture

2, Izmaylovskiy val str., Moscow, 105318



E. A. Sharova
Russian Institute for Strategic Studies
Russian Federation

Ekaterina A. Sharova – Cand. Sci. (Economics), Deputy Head of the Research Coordination Center

SPIN-code: 8611-5298

15B, Flotskaya str., Moscow, 125413



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ISSN 0869-3617 (Print)
ISSN 2072-0459 (Online)