Journal of Korean Library and Information Science Society (한국도서관정보학회지)

Korean Library and Information Science Society (한국도서관정보학회)
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Data Science Degree and Curriculum in Korea and its Implications for the Information Field

국내 데이터사이언스 학위 및 교과 운영 현황과 문헌정보학과로의 함의

  • 박형주 (충남대학교 문헌정보학과) ;
  • 이희진 (충남대학교 문헌정보학과)
  • Received : 2022.08.23
  • Accepted : 2022.09.09
  • Published : 2022.09.30
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Abstract

This study examined data science degree programs and courses offered by universities, and those offered by the Library and Information Science (LIS) degree programs, to understand its implications for the LIS programs in Korea. This research assessed the status of data science degrees from 439 schools using the list released by the Korea Educational Development Institute in 2022. To be specific, this study analyzed universities, colleges, majors, sub-majors, interdisciplinary majors, convergence majors, micro-degrees, nanodegrees, tracks, modules, and industry-university cooperative programs within the data science field. This research examined 1,148 courses offered by data science degree programs and 1,325 courses offered by LIS degree programs. Data science degrees in Korea offer courses such as introductory, technical, practical, applied, and in-depth subjects related to data science. Although the LIS programs in Korea do not always offer data science, the courses included topics such as the introduction to data science, database, data visualization, data curation, metadata, big data, and information technology, when courses were offered. The researchers hope the findings of this study will be useful as a starting point for the development and revisions of LIS curriculum on data science in Korea.

본 연구의 목적은 국내 대학에서 수여하는 데이터사이언스 학위 및 교과 운영 현황과 국내외 정보대학의 데이터사이언스 교과 운영 현황을 이해함으로써, 국내 문헌정보학과의 데이터사이언스 교과 운영에 대한 함의를 살펴보는 것이다. 데이터 수집의 대상은 2022년 한국교육개발원에서 공개한 국내 439개 학교의 데이터사이언스 학위였다. 분석의 대상은 데이터사이언스 학위를 운영하는 국내의 대학교, 단과대학, 학부, 학과, 세부 전공, 연계전공, 융합전공, 마이크로 학위, 나노 학위, 트랙, 모듈, 산학협동 과정 등이었다. 교과 분석을 위해서 국내 데이터사이언스 학위 과정에 개설된 1,148개의 교과 명을 분석했다. 국내 문헌정보학과 학사 과정의 1,325개의 교과 명을 분석해서 국내 문헌정보학과의 데이터사이언스 교과 운영 현황을 확인했다. 국내의 데이터사이언스 학위는 개론, 기술, 실습, 응용, 심화 교과 등 데이터사이언스 교과를 골고루 개설하고 있었다. 국내 문헌정보학과는 데이터사이언스와 관련된 교과 개설에 적극적이지 않았으나, 개설한 경우에는 데이터사이언스 개론, 데이터베이스, 데이터시각화, 데이터큐레이션, 메타데이터, 빅데이터, 정보 기술 교과가 개설되어 있었다. 본 연구의 결과는 문헌정보학의 관점에서 데이터사이언스 학위 과정, 세부 전공, 연계전공, 융합전공, 마이크로 학위, 나노 학위, 연계 트랙, 모듈, 산학협동과정 등의 교과의 개발 및 개정에 필요한 논의의 기초 자료로 활용되기를 기대한다.

Keywords

Acknowledgement

이 논문은 2022년도 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(NRF-2022M3J6A1084843).

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