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Abstract Details

Activity Number: 116
Type: Topic Contributed
Date/Time: Monday, July 31, 2017 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Education
Abstract #324377 View Presentation
Title: The Essential Connections Between Industry and Statistics Education: Innovation, Technology, and Partnerships
Author(s): Robert Carver* and David Levine* and Mia Stephens* and Scott Toney* and Billie Anderson*
Companies: Stonehill College and Baruch College (CUNY) and SAS Institute/ JMP Division and Daniels College of Business, Univ of Denver and Ferris State University
Keywords: Big Data ; Data Science ; Internships ; GAISE ; Industry ; Curriculum guidelines

The history of statistics is replete with the exchange of ideas, models and practice between the academy and industry. Much the same can be said of computer science, and together statistics and computer science are the two major contributing disciplines to recent developments in data science and data analytics. This panel will review the state of the exchange, focusing on innovative ways to strengthen connections between the classroom and the current practices in the commercial and non-profit worlds, and to bring data analytics into the classroom, which in turn is essential to enhanced employment and internship opportunities for students. With the recent updates to the GAISE College Report, the ASA Curriculum Guidelines for Undergraduate Programs in Statistical Science and the Park City Math Curriculum Guidelines for Undergraduate Programs in Data Science, and the burgeoning applications in analytics, this session should appeal to statistics educators and to participants in business-university partnerships.

Authors who are presenting talks have a * after their name.

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