Education in End-to-end Technologies in Russian Universities: Scale of Implementation and Features of Management

Abstract

The article is devoted to the issues of managing education in end-to-end technologies, in particular big data analytics and artificial intelligence, in Russian universities. The article presents statistical data on the scale of the implementation of big data and artificial intelligence training programs in Russian universities. The authors note that to process a significant amount of information, algorithms for working with big data were used, such as Google Chrome extensions for extracting data from Instant data scraper and Table Capture web pages. Based on the results of the study, the key features of managing the development and implementation of training programs for big data and artificial intelligence in the top 15 universities of the country were identified and analyzed. It is noted that most of the programs have been developed “at the intersection” of academic disciplines and are aimed at training universal specialists, which dictates the integration of university faculties during their creation and close interaction with representatives of the professional community. Judgments are given that the most dense integration of universities and business is the automatic employment of students during the period of study. It is revealed that the management of the development of training programs for big data and artificial intelligence involves collaboration with EdTech platforms and the implementation of programs in a remote form that combines the advantages of a classical university program and the convenience of online learning, in particular, communicative comfort. The study showed that learning management also involves the development of “soft skills” among specialists in the field of data analytics and artificial intelligence.