Abstract

The rate at which data is produced and accumulated today is greater than at any point in history with little prospect of slowing. As organizations attempt to collect and analyze this data, there is a tremendous unmet demand for appropriately skilled knowledge workers. In response, universities are developing degree programs in data science and data analytics. As a contribution to the design and development of these programs, this paper presents findings from a review of the descriptions of courses offered in a small sample of undergraduate programs in data science and data analytics. Our investigation clarifies and illustrates the similarities and differences between undergraduate data analytics and data science programs.

Citation

Aasheim, C.L., Williams, S., Rutner, P. & Gardiner, A. (2015). Data Analytics vs. Data Science: A Study of Similarities and Differences in Undergraduate Programs Based on Course Descriptions. Journal of Information Systems Education, 26(2), 103-115. Retrieved September 24, 2023 from https://www.learntechlib.org/p/192946/.

This record was imported from ERIC on January 10, 2019. [Original Record]

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Keywords

• College Programs
• content analysis
• Course Descriptions
• Data Analysis
• Differences
• Information Science Education
• School Surveys
• Undergraduate Study