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An Analysis of Data Science Curriculum in Korea

  • Journal of the Korean Society for Library and Information Science
  • 2020, 54(1), pp.365-385
  • DOI : 10.4275/KSLIS.2020.54.1.365
  • Publisher : 한국문헌정보학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : February 4, 2020
  • Accepted : February 19, 2020
  • Published : February 28, 2020

Lee Hye Won 1 Han, Seung Hee 1

1서울여자대학교

Excellent Accredited

ABSTRACT

In this study, in order to analyze the current status of the data science curriculum in Korea as of October 2019, we conducted an analysis of the prior studies on the curriculum in the data science field and the competencies required for data professional. This study was conducted on 80 curricula and 2,041 courses, and analyzed from the following perspectives; 1) the analysis of the characteristics of data science domain, 2) the analysis of key competencies in data science, 3) the content analysis of the course titles. As a result, data science program in Korea has become a research-oriented professional curriculum based on an academic approach rather than a technical, vocational, and practitional view. In addition, it was confirmed that various courses were established with a focus on statistical analysis competency, and interdisciplinary characteristics based on information technology, statistics, and business administration were reflected in the curriculum.

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