Curriculum Guidelines for Undergraduate Programs in Data Science

Richard De Veaux; Mahesh Agarwal; Maia Averett; Benjamin Baumer; Andrew Bray; Thomas Bressoud; Lance Bryant; Lei Cheng; Amanda Francis; Robert Gould; Albert Y. Kim; Matt Kretchmar; Qin Lu; Ann Moskol; Deborah Nolan; Roberto Pelayo; Sean Raleigh; Ricky J. Sethi; Mutiara Sondjaja; Neelesh Tiruviluamala; Paul Uhlig; Talitha Washington; Curtis Wesley; David White; Ping Ye

doi:10.1146/annurev-statistics-060116-053930

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arXiv · 1801.06814

Curriculum Guidelines for Undergraduate Programs in Data Science

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Abstract

The Park City Math Institute (PCMI) 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 U.S., 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.

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Richard De Veaux, Mahesh Agarwal, Maia Averett, Benjamin Baumer, Andrew Bray, Thomas Bressoud, Lance Bryant, Lei Cheng, Amanda Francis, Robert Gould, Albert Y. Kim, Matt Kretchmar, Qin Lu, Ann Moskol, Deborah Nolan, Roberto Pelayo, Sean Raleigh, Ricky J. Sethi, Mutiara Sondjaja, Neelesh Tiruviluamala, Paul Uhlig, Talitha Washington, Curtis Wesley, David White, Ping Ye. 2018-01-21. Curriculum Guidelines for Undergraduate Programs in Data Science. https://doi.org/10.1146/annurev-statistics-060116-053930

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