Business Education as a Component of the General Algorithm of Postgraduate Education

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Abstract

The article discusses possible ways of postgraduate education for graduates of various specialties, mainly with the prospect of entering the global labor market. Particular attention is paid to business education as the most demanded by modern standards component of higher education in general. The role of business education is not only to prepare graduates for practice in the fourth industrial revolution, particularly in a crisis but also to make them able to take advantage of the potential opportunities offered by the business education they receive, such as mastering new prestigious professions such as HR business partner. The relevance of the article lies in the fact that it evaluates various criteria of possible options of additional education, in particular: the content of education, quality of education, recognition in the global labor market, compliance with the goals of the student, time and cost of training, additional stress, including psychological. The main methods used were analyzing articles, dissertation research, monographs, and Internet resources containing material on this topic; the method of content analysis, i.e., the study of texts and documents to select the optimal options; the classification method, i.e., grouping the collected data array by individual criteria; the method of comparing possible education options. The background of the study is the identification of specific factors influencing the choice of an appropriate algorithm for postgraduate training, taking into account the additional workload factor. The practical implications of the work are that it can really help a graduate navigate the options offered by Russian and foreign educational institutions of postgraduate education and choose the best option, taking into account various factors.

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APA

Markova, T. S. (2022). Business Education as a Component of the General Algorithm of Postgraduate Education. In Lecture Notes in Networks and Systems (Vol. 380 LNNS, pp. 674–683). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-94245-8_92

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