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January 9, 2017Annual Review of Statistics and Its Application240 citationsOpen Access

Curriculum Guidelines for Undergraduate Programs in Data Science

RVRichard D. De VeauxMAMahesh AgarwalMAMaia Averett

Key Points

  • The aim is to create comprehensive guidelines for undergraduate data science curricula.
  • Workshop convened with 25 faculty members from diverse institutions in the US.
  • Focused discussions on structure and content for data science programs.
  • Collaborative drafting of curriculum recommendations.
  • Development of structured guidelines for institutions to follow in data science curriculum planning.

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 mathematics, statistics, and computer science. These guidelines are meant to provide some structure for institutions planning for or revising a major in data science.

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Cite This Study

Veaux et al. (2017) studied this question.

synapsesocial.com/papers/69dc60a1ac480df60a1332d9https://doi.org/10.1146/annurev-statistics-060116-053930
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