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Wroclaw University of Technology Graduates' Career Paths

Author

Listed:
  • Zbigniew Malara
  • Rafał Miśko
  • Adam Sulich
Abstract
Graduates’ careers are the most spectacular and visible proof of excellent university education. It is also significant for the university performance assessment when its graduates can easily find a job in the labour market. Information about graduates matching their qualifications and fields of study versus undertaking employment is important for future students. The choice of a future career path is based on specific criteria, which were backed by surveys performed among graduates by the career office at the Wroclaw University of Technology. The aim of this article is to address questions about the most significant criteria for career paths among graduates of the Wroclaw University of Technology. In this article, the Bellinger’s multi-criteria method was explained and presented, then used to analyse chosen factors in graduates’ career paths; these were then compared with the Gale-Shapley algorithm results. The graduates’ career paths are not really connected with chosen jobs that matched their graduated fields of study; therefore, young graduates’ careers are not always the best benchmark for assessing university performance. Results obtained in this paper proved that a majority of students possess great awareness of the significance of self-development because they selected an education path that ensures future employment. Young graduates of WUT become well-versed in the requirements of the labour market very quickly and capable of formulating their own opinions.

Suggested Citation

  • Zbigniew Malara & Rafał Miśko & Adam Sulich, 2016. "Wroclaw University of Technology Graduates' Career Paths," WORking papers in Management Science (WORMS) WORMS/16/04, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
    • Handle: RePEc:ahh:wpaper:worms1604
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    File URL: https://worms.pwr.edu.pl/RePEc/ahh/wpaper/WORMS_16_04.pdf
    File Function: Final version, 2019
    Download Restriction: no
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    More about this item

    Keywords

    Gale-Shapley algorithm; The Bellinger Method; Career paths;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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