Unravelling the skills of data scientists: A text mining analysis of Dutch university master programs in data science and artificial intelligence

The growing demand for data scientists in both the global and Dutch labour markets has led to an increase in data science and artificial intelligence (AI) master programs offered by universities. However, there is still a lack of clarity regarding the specific skills of data scientists. This study addresses this issue by employing Correlated Topic Modeling (CTM) to analyse the content of 41 master programs offered by 11 Dutch universities and an interuniversity combined program. We assess the differences and similarities in the core skills taught by these programs, determine the subject-specif... Mehr ...

Verfasser: Mol, Mathijs J.
Belfi, Barbara
Bakk, Zsuzsa
Dokumenttyp: Artikel
Erscheinungsdatum: 2024
Reihe/Periodikum: PLOS ONE ; volume 19, issue 2, page e0299327 ; ISSN 1932-6203
Verlag/Hrsg.: Public Library of Science (PLoS)
Schlagwörter: Multidisciplinary
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26668607
Datenquelle: BASE; Originalkatalog
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Link(s) : http://dx.doi.org/10.1371/journal.pone.0299327