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Curriculum Guidelines for Undergraduate Programs in …

Curriculum Guidelines forUndergraduate Programsin Data SciencePark City Math Institute (PCMI) Undergraduate Faculty GroupRichard De Veaux (chair), 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, DeborahNolan, Roberto Pelayo, Sean Raleigh, Ricky J. Sethi, Mutiara Sondjaja, NeeleshTiruviluamala, Paul Uhlig, Talitha Washington, Curtis Wesley, David White,Ping YeAnnual Review of Statistics :1 26 This article s ((please add article doi))Copyrightc 2016 by Annual rights reservedKeywordscurriculum, statistics education , computer science educationAbstractThe Park City Math Institute (PCMI) 2016 Summer UndergraduateFaculty Program met for the purpose of composing Guidelines for un-dergraduate Programs in Data Science. The group consisted of 25 un-dergraduate faculty from a variety of institutions in the , primarilyfrom the discipines of mathematics, statistics and computer Guidelines are meant to provide some structure for institutionsplanning for or revising a major in Data Introduction.

curriculum, statistics education, computer science education Abstract The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for un-dergraduate programs in Data Science. The group consisted of 25 un-dergraduate faculty from a variety of institutions in the U.S., primarily

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