The Journal of Korean Association of Computer Education (컴퓨터교육학회논문지)

The Korean Association of Computer Education (한국컴퓨터교육학회)
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A Study on Entrance Evaluation System for Data Scientist Postgraduate Program

대학원 데이터 과학자 과정 입학 평가 체계 분석

  • 김미정 (고려대학교 대학원 컴퓨터학과) ;
  • 김자미 (고려대학교 교육대학원 컴퓨터교육전공) ;
  • 이원규 (고려대학교 대학원 컴퓨터학과)
  • Received : 2020.03.09
  • Accepted : 2020.05.07
  • Published : 2020.05.31
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Abstract

Organizing entrance evaluation system for selecting students who can become expert in data science field according to need of the age and social demand is important. This study was conducted for the purpose of analyzing data science field graduate school entrance evaluation system and deriving implications after taking into account the importance of talents possessing convergence competency. For this aim, a total of 22 graduate schools in 7 countries have been selected targeting data scientist postgraduate program around the world. The selected graduate schools have been analyzed based on qualifications, necessary skills prior to entrance, entrance conditions, and selection methods. As a result of the analysis, 'graduate school which I can apply for regardless of possessing undergraduate degree or undergraduate major (63.6 percent)' in qualifications category, 'graduate school which mentioned skills required in completing master's degree prior to entrance (63.6 percent)' in skills required prior to entrance category, 'graduate school which does not mention separate entrance condition (81.8 percent)' in entrance conditions category, and 'graduate school selecting students merely based on document screening (68.2 percent)' in selection methods category took the highest portion. Based on the above, this study summarized the results of the data scientist process and suggested implications for objectifying admission evaluation.

시대적 필요와 사회적 요구에 따라 데이터 과학 분야의 전문가로 성장할 수 있는 학생을 선발하기 위한 입학 평가 체계의 구성은 중요하다. 본 연구는 융·복합 역량을 갖춘 인재 선발의 중요성을 고려하여 데이터 과학 분야 대학원 입학 평가 체계를 분석하고, 시사점을 도출하기 위한 목적에서 진행되었다. 목적 달성을 위해 전 세계 대학원 데이터 과학자 과정을 대상으로 총 7개국 22개 대학원을 선정하였다. 선정된 대학원들을 지원 자격, 입학 전 필요 기술, 입학 조건, 선발 방법별로 분석하였다. 분석 결과, 지원 자격은 '최소 학사학위 소지자 또는 학사과정 전공과 관계없이 입학 지원 가능한 학교(63.6%)', 입학 전 필요 기술은 '교육과정 이수에 필요한 입학 전 기술을 명시한 학교(63.6%)', 입학 조건은 '별도 입학 조건이 따로 명시되어 있지 않은 학교(81.8%)', 선발 방법은 '서류 심사로만 학생을 선발하는 학교(68.2%)'가 가장 많았다. 이상을 토대로 본 연구는 데이터 과학자 과정의 결과를 정리하고, 입학 평가를 객관화하기 위한 시사점을 제시하였다.

Keywords

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