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.
Keywords: Data analytics, Job skills, Emerging technologies, Program improvement
Download this article: JISE - Volume 26 Number 2, Page 103.pdf
Recommended Citation: Aasheim, C. L., Williams, S., Rutner, P., & Gardiner, A. (2015). Data Analytics vs. Data Science: A Study of Simliarities and Differences in Undergraduate Programs Based on Course Descriptions. Journal of Information Systems Education, 26(2), 103-116.