Curriculum Guidelines for Undergraduate Programs in Data Science

Richard D. De Veaux; Mahesh Agarwal; Maia Averett; Benjamin S. Baumer; Andrew Bray; Thomas C. Bressoud; Lance Bryant; Lei Z. 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 X. Uhlig; Talitha M. Washington; Curtis L. Wesley; David White; Ping Ye

doi:10.1146/annurev-statistics-060116-053930

Annual Review of Statistics and Its Application

Volume 4, 2017

Review Article

Free

Curriculum Guidelines for Undergraduate Programs in Data Science

Richard D. De Veaux¹, Mahesh Agarwal², Maia Averett³, Benjamin S. Baumer⁴, Andrew Bray⁵, Thomas C. Bressoud⁶, Lance Bryant⁷, Lei Z. Cheng⁸, Amanda Francis⁹, Robert Gould¹⁰, Albert Y. Kim¹¹, Matt Kretchmar¹², Qin Lu¹³, Ann Moskol¹⁴, Deborah Nolan¹⁵, Roberto Pelayo¹⁶, Sean Raleigh¹⁷, Ricky J. Sethi¹⁸, Mutiara Sondjaja¹⁹, Neelesh Tiruviluamala²⁰, Paul X. Uhlig²¹, Talitha M. Washington²², Curtis L. Wesley²³, David White²⁴, and Ping Ye²⁵
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Affiliations: ¹Department of Mathematics and Statistics, Williams College, Williamstown, Massachusetts 01267 ²Department of Mathematics and Statistics, University of Michigan, Dearborn, Michigan 48128-2406 ³Department of Mathematics and Computer Science, Mills College, Oakland, California 94613 ⁴Department of Statistical & Data Sciences, Smith College, Northampton, Massachusetts 01063 ⁵Department of Mathematics, Reed College, Portland, Oregon 97202 ⁶Department of Mathematics and Computer Science, Denison University, Granville, Ohio 43023 ⁷Department of Mathematics, Shippensburg University, Shippensburg, Pennsylvania 17257 ⁸Department of Mathematics, Olivet Nazarene University, Bourbonnais, Illinois 60914 ⁹Department of Mathematics, Brigham Young University, Provo, Utah 84601 ¹⁰Department of Statistics, University of California, Los Angeles, Los Angeles, California 90095-1554 ¹¹Department of Mathematics, Middlebury College, Middlebury, Vermont 05753 ¹²Department of Mathematics and Computer Science, Denison University, Granville, Ohio 43023 ¹³Department of Mathematics, Lafayette College, Easton, Pennsylvania 18042-1780 ¹⁴Department of Mathematics and Computer Science, Rhode Island College, Providence, Rhode Island 02908 ¹⁵Department of Statistics, University of California, Berkeley, California 94720 ¹⁶Department of Mathematics, University of Hawaii, Hilo, Hawaii 96720-4091 ¹⁷Department of Mathematics, Westminster College, Salt Lake City, Utah 84105 ¹⁸Department of Computer Science, Fitchburg State University, Fitchburg, Massachusetts 01420 ¹⁹Department of Mathematics, New York University, New York, New York 10012 ²⁰Department of Mathematics, University of Southern California, Los Angeles, California 90089 ²¹Department of Mathematics, St. Mary's University, San Antonio, Texas 78228 ²²Department of Mathematics, Howard University, Washington, DC 20059 ²³Department of Mathematics, LeTourneau University, Longview, Texas 75602 ²⁴Department of Mathematics and Computer Science, Denison University, Granville, Ohio 43023 ²⁵Department of Mathematics, University of North Georgia, Oakwood, Georgia 30566
Vol. 4:15-30 (Volume publication date March 2017) https://doi.org/10.1146/annurev-statistics-060116-053930
First published as a Review in Advance on December 23, 2016
© Annual Reviews

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.

Keyword(s): computer science education, curriculum, statistics education

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Curriculum Guidelines for Undergraduate Programs in Data Science

Annual Review of Statistics and Its Application 4, 15 (2017); https://doi.org/10.1146/annurev-statistics-060116-053930

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Annual Review of Statistics and Its Application

Volume 4, 2017

Review Article

Free

Curriculum Guidelines for Undergraduate Programs in Data Science

Abstract

Supplementary Data

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