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Is higher education adequately preparing graduates for the new Data professions?

Author

Listed:
  • Daniel Lang

    (LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], IMT-BS - TIM - Département Technologies, Information & Management - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris])

Abstract

The advent of Artificial Intelligence (AI) is bringing about profound changes, particularly in terms of the new professions involved. These technologies are creating a need for new skills specific to Data. The aim of our contribution is to identify the skills gaps between the higher education courses that train students in the fields of Artificial Intelligence and Data, and the needs of the job market. To do this, we have - extracting Data training programs from the websites of higher education establishments - scraping a job vacancy website. We then developed an analysis based on a text mining approach, using Python code for natural language processing. Our in-depth analysis using natural language processing algorithms provides a better understanding of the components needed to best train new generations in the new professions driven by Data. This study can help shape educational programs to meet the demands of the new professions market.

Suggested Citation

  • Daniel Lang, 2024. "Is higher education adequately preparing graduates for the new Data professions?," Post-Print hal-04728484, HAL.
    • Handle: RePEc:hal:journl:hal-04728484
    as

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