Document Type
Article
Publication Date
2017
Publication Title
Annual Review of Statistics and Its Application
Volume
4
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.
Recommended Citation
De Veaux, Richard D.; Agarwal, Mahesh; Averett, Maia; Baumer, Benjamin; Bray, Andrew; Bressoud, Thomas C.; Bryant, Lance; Cheng, Lei Z.; Francis, Amanda; Gould, Robert; Kim, Albert Y.; Kretchmar, Matt; Lu, Qin; Moskol, Ann; Nolan, Deborah; Pelayo, Roberto; Raleigh, Sean; Sethi, Ricky J.; Sondjaja, Mutiara; Tiruviluamala, Neelesh; Uhlig, Paul X.; Washington, Talitha M.; Wesley, Curtis L.; White, David; and Ye, Ping, "Curriculum Guidelines for Undergraduate Programs in Data Science" (2017). Statistical and Data Sciences: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/sds_facpubs/15
Digital Object Identifier (DOI)
doi.org/10.1146/annurev-statistics-060116-053930
Rights
©2017 by Annual Reviews. All rights reserved
Comments
Peer reviewed accepted manuscript.