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A typology of Russian regions by educational profile

https://doi.org/10.24182/2073-9885-2026-19-2-61-67.

Abstract

The contemporary system of higher education in the Russian Federation exhibits pronounced regional heterogeneity, driven by differences in the structure of specialist training. This article presents the results of a cluster analysis based on the 2024 Federal Statistical Observation VPO31, covering all 83 federal subjects and 56 fields of study.

Using Principal Component Analysis (PCA) and the k–means algorithm, a stable two–cluster structure was identified: the first cluster comprises scientific–technical and multidisciplinary centers, focused on STEM disciplines and creative industries; the second includes peripheral regions with a practice–oriented profile, dominated by socio–humanitarian and locally relevant fields.

The study demonstrates that Information Technology (IT) fields do not constitute a separate «digital» cluster but are inherently embedded within a broader scientific–technical ecosystem. These findings underscore the need for a differentiated approach to regional higher education policy. 

About the Author

K. S. Krayushkin
Academy of Labour and Social Relations
Russian Federation

Postgraduate student

Moscow



References

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For citations:


Krayushkin K.S. A typology of Russian regions by educational profile. Entrepreneur’s Guide. 2026;19(2):61-67. (In Russ.) https://doi.org/10.24182/2073-9885-2026-19-2-61-67.

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ISSN 2073-9885 (Print)
ISSN 2687-136X (Online)