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Curriculum Guidelines for Undergraduate Programs in Data Science

Authors :
De Veaux, Richard
Agarwal, Mahesh
Averett, Maia
Baumer, Benjamin
Bray, Andrew
Bressoud, Thomas
Bryant, Lance
Cheng, Lei
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
Washington, Talitha
Wesley, Curtis
White, David
Ye, Ping
Source :
Annual Review of Statistics, Volume 4 (2017), 15-30
Publication Year :
2018

Abstract

The Park City Math Institute (PCMI) 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 U.S., 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.

Subjects

Subjects :
Statistics - Other Statistics

Details

Database :
arXiv
Journal :
Annual Review of Statistics, Volume 4 (2017), 15-30
Publication Type :
Report
Accession number :
edsarx.1801.06814
Document Type :
Working Paper
Full Text :
https://doi.org/10.1146/annurev-statistics-060116-053930