Curriculum Guidelines for Undergraduate Programs in Data Science
Posted: 21 Mar 2017
Date Written: March 2017
Abstract
The Park City Math Institute 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in data science. The group consisted of 25 undergraduate faculty from a variety of institutions in the United States, primarily from the disciplines of mathematics, statistics, and computer science. These guidelines are meant to provide some structure for institutions planning for or revising a major in data science.
Suggested Citation: Suggested Citation
De Veaux, Richard D. and Agarwal, Mahesh and Averett, Maia and Baumer, Ben and Bray, Andrew and Bressoud, Thomas and Bryant, Lance and Cheng, Lei and Francis, Amanda and Gould, Robert and Kim, Albert and Kretchmar, Matthew and Lu, Qin and Moskol, Ann and Nolan, Deborah and Pelayo, Roberto and Raleigh, Sean and Sethi, Ricky and Sondjaja, Mutiara and Tiruviluamala, Neelesh and Uhlig, Paul and Washington, Talitha and Wesley, Curtis and White, David and Ye, Ping, Curriculum Guidelines for Undergraduate Programs in Data Science (March 2017). Annual Review of Statistics and Its Application, Vol. 4, Issue 1, pp. 15-30, 2017, Available at SSRN: https://ssrn.com/abstract=2937737 or http://dx.doi.org/10.1146/annurev-statistics-060116-053930
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