Conference Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 420 - How to Build (and Sustain) a Data Science Program
Type: Topic Contributed
Date/Time: Wednesday, August 10, 2022 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics and Data Science Education
Abstract #322656
Title: How to Build (and Sustain) a Data Science Program
Author(s): Ann Cannon* and Silas Bergen* and Stacey Hancock* and Brian Kotz*
Companies: Cornell College and Winona State University and Montana State University and Montgomery College
Keywords: Data Science; Education

This session will cover various aspects of building a new data science program at different types of institutions, including two-year colleges, liberal arts colleges, and larger public state universities. Discussion will include curriculum considerations as well as the logistics of coordinating a new data science program that may rely on courses in other disciplines or partnerships with industry. Each panelist has been involved with constructing and/or sustaining data science programs at their home institutions. Each panelist will address their role in the program development process (minor or major or graduate), the unique challenges their program faced and may continue to face, and any advice for educators looking to build a program at their own institution.

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

Back to the full JSM 2022 program