Curriculum Guidelines for Undergraduate Programs in Data Science

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

doi:10.1146/annurev-statistics-060116-053930

Public

Curriculum Guidelines for Undergraduate Programs in Data Science

Shared by NobleBlocks on Jan 9, 2017 • 12:00 AM UTC

Authors:

Richard D. De Veaux

Mahesh Agarwal

Maia Averett

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 mathem...

Subject

Variety (cybernetics)

Curriculum

Undergraduate education

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