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An Overview of the Multi-Disciplinary Data Science (MDaS) S-STEM Scholarship Program

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2022 ASEE Annual Conference & Exposition


Minneapolis, MN

Publication Date

August 23, 2022

Start Date

June 26, 2022

End Date

June 29, 2022

Conference Session

Industrial Engineering Division Technical Session 1

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Manuel Rossetti University of Arkansas

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Edward Pohl University of Arkansas


Bryan Hill University of Arkansas

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Dr. Bryan Hill is Associate Dean for Student Success in the College of Engineering at the University of Arkansas. He received his B.S. and M.S. in Industrial Engineering and a Ph.D. in Public Policy from the University of Arkansas. He has more than 20 years of experience in engineering student recruitment, retention, diversity, equity and inclusion initiatives, K-12 outreach programs and international education. Bryan is PI on STEM educational and outreach grants totaling $6.6m. He received recognition as one of the Top 15 Researchers in 2015 on the UA campus, as well as a recipient the Collis R. Geren Award for Excellence in Graduate Education, the Hoyt R. Purvis Award for Service to International Education and a finalist for the Global Engineering Deans Council Airbus Diversity Award. He and his husband, JD, live in Fayetteville with their two adopted sons, Kaiden (11) and Darin (9).

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Xintao Wu University of Arkansas

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Ronna Turner University of Arkansas

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Wenjuo Lo University of Arkansas

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Jeffrey Offord University of Arkansas

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This paper provides an overview of the MDaS S-STEM scholarship program. With the growing need for professionals with technology and critical thinking skills related to data analysis, the MDaS program employs established recruitment and retention activities for undergraduates in STEM fields, to encourage consideration of careers in data science related fields. The purpose of the program is to provide financial and professional support to low-income and underrepresented STEM students to improve their chances of completing degrees related to data science. This paper presents the motivation for the program, its goals, structure, research questions, and the design and implementation of its bootcamp cohort building component for engaging students. The results and experiences related to its first year of operation are presented.

Rossetti, M., & Pohl, E., & Hill, B., & Wu, X., & Turner, R., & Lo, W., & Offord, J. (2022, August), An Overview of the Multi-Disciplinary Data Science (MDaS) S-STEM Scholarship Program Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--40908

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