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Building a Cost-Effective Data Science Minor: A Faculty-Led Model for Expanding Opportunities in Mathematics

Yan Gong <ygong@lander.edu>, Lander University

Abstract:

This workshop presents the successful design and launch of a Data Science Minor at Limestone University (2023-2025), developed by existing faculty without additional costs or new hires. The project demonstrates how mathematics faculty can lead data science initiatives that meet workforce demand, broaden student opportunities, and enhance institutional offerings within current academic structures and budgets. Participants will explore key steps in the program development process, including conducting market and peer-institution analyses, designing an interdisciplinary curriculum aligned with institutional mission, navigating approvals across campus offices, and selecting cost-effective digital learning systems. This session provides a replicable model for resource-conscious program innovation in higher education, particularly valuable for small colleges and liberal arts institutions.

Scheduled for: 2026-03-27 02:40 PM: Contributed Papers Session #2.3

Status: Accepted

Collection: Contributed Papers

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