바로가기메뉴

본문 바로가기 주메뉴 바로가기

Journal of the Korean Society for Library and Information Science

Article Contents

Prev Next
e-Submission

Vol.54 No.1
Citation Share

An Analysis of Data Science Curriculum in Korea

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2020, v.54 no.1, pp.365-385
https://doi.org/10.4275/KSLIS.2020.54.1.365


& (2020). An Analysis of Data Science Curriculum in Korea. Journal of the Korean Society for Library and Information Science, 54(1), 365-385, https://doi.org/10.4275/KSLIS.2020.54.1.365
  • Downloaded
  • Viewed
PDF Download

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.

keywords
Data Science, Curriculum, Curriculum Analysis, Content Analysis, Competency of Data Professional, Data Science Lifecycle, 데이터과학, 교육과정, 교과목 분석, 내용 분석, 데이터 전문가 역량, 데이터과학 생명주기

Journal of the Korean Society for Library and Information Science

e-Submission OA Policy