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Activity Number: 678
Type: Invited
Date/Time: Thursday, August 4, 2016 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Education
Abstract #318332 View Presentation
Title: Cross-Disciplinary Minor in Data Science: A New Paradigm for Partnership Across Disciplines
Author(s): Andrew Schaffner* and Alexander Dekhtyar
Companies: Cal Poly and Cal Poly
Keywords: data science ; analytics ; computer science ; big data ; education ; minor

The emerging need to provide data science education in college is facing a number of steep challenges including the lack of properly trained data science faculty, the pace with which curriculum development happens at a University level, and the ability to financially support a brand new major. At the same time, data science does not exist in vacuum, and data science education does not need to be developed from ground up. We outline the challenges Cal Poly, as a university faced when deciding to support a data science educational program on campus, and the ways in which we have resolved these challenges by building a novel minor-style truly cross-disciplinary educational experience in data science that leverages existing strengths of its constituent programs: Computer Science and Statistics. While characterized as a minor, the cross-disciplinary designation ensures depth and breadth commensurate with major programs.

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

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