Curriculum Guidelines for Undergraduate Programs in Data Science
Other Statistics
2021-09-14 v1
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.
Cite
@article{arxiv.1801.06814,
title = {Curriculum Guidelines for Undergraduate Programs in Data Science},
author = {Richard De Veaux and Mahesh Agarwal and Maia Averett and Benjamin Baumer and Andrew Bray and Thomas Bressoud and Lance Bryant and Lei Cheng and Amanda Francis and Robert Gould and Albert Y. Kim and Matt Kretchmar and Qin Lu and Ann Moskol and Deborah Nolan and Roberto Pelayo and Sean Raleigh and Ricky J. Sethi and Mutiara Sondjaja and Neelesh Tiruviluamala and Paul Uhlig and Talitha Washington and Curtis Wesley and David White and Ping Ye},
journal= {arXiv preprint arXiv:1801.06814},
year = {2021}
}