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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.
Data Science is experiencing rapid and unplanned growth, spurred by the proliferation of complex and rich data in science, industry and government. Fueled in part by reports such as the widely cited McKinsey report that forecast a need for hundreds of thousands of Data Science jobs in the next decade (McKinsey), Data Science programs have exploded
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