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http://dx.doi.org/10.33851/JMIS.2022.9.2.171

Brief Paper: An Analysis of Curricula for Data Science Undergraduate Programs  

Cho, Soosun (Major of Data Science, Korea National University of Transportation)
Publication Information
Journal of Multimedia Information System / v.9, no.2, 2022 , pp. 171-176 More about this Journal
Abstract
Today, it is imperative to educate students on how to best prepare themselves for the new data driven era of the future. Undergraduate education plays an important role in providing students with more Data Science opportunities and expanding the supply of Data Science talent. This paper surveys and analyzes the curricula of Data Science-related bachelor's degree programs in the United States. The 'required' and 'elective' courses in a curriculum for obtaining a B.S. degree were evaluated by course weight to indicate its necessity. As a result, it was possible to find out which courses were important in Data Science programs and which areas were emphasized for B.S. degrees in Data Science. We found that courses belong to the Data Science area, such as data management, data visualization, and data modeling, were more required for Data Science B.S. degrees in the United States.
Keywords
Data Science; Education; Curricula Analysis; Undergraduate Programs; Required Courses;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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