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  • Professional Characteristics and Employment Biographies of the Graduates Master's Program "Human Resource Management" Higher School of Economics

Professional Characteristics and Employment Biographies of the Graduates Master's Program "Human Resource Management" Higher School of Economics

Student: Kim Elena

Supervisor: Elena Varshavskaya

Faculty: Graduate School of Business

Educational Programme: Human Resource Management (Master)

Final Grade: 7

Year of Graduation: 2017

This dissertation is dedicated to the work biographies of HSE alumni, who have graduated as HRM masters from 2008 to 2016. The paper concerns the research approaches used to study the topic. As the result of the research, the paper describes the alumni’s level of contentment with their education, their first and current job. These data, along with some social and demographic parameters, were retrieved using online questionnaires. National Research University «Higher School of Economics» (NRU HSE), as well as some other Russian universities, allow their students to study HRM at bachelor’s or master’s level. Professional characteristics and work biographies of graduate students have always been an interesting research topic, both for the alumni and the university itself. For the students, this information may be of a great use for the purpose of choosing the learning area and considering possible future risks. For the university, research in this field helps to evaluate the quality of the education they give, and develop better strategies of giving the students some key professional competences. In order to analyse the professional characteristics and the work biographies of HRM graduate students, the students were divided into two groups: those who are targeted on HRM, and those who are not. The groups were distinguished by the students’ level of interest in HRM and their desire to work in this sphere. The practical use of this work is that the retrieved data array can be used for further analysis of HRM program at HSE, as well as for optimisation the future research strategies for this field.

Full text (added May 22, 2017)

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