The Data Edge:
How Weber State’s MSDS Program Empowers Working Professionals

The leap into advanced data science can feel like a daunting technical hurdle for organizations, companies, and professionals looking to stay current. Carson Snell, a professional pricing analyst, initially felt that way in his journey, especially remembering his high school days, when three years of coding classes failed to click. However, his search for a graduate program that balanced the rigors of technical training with flexibility to successfully maintain his career and young family led him to a brilliant destination: Weber State University. As the only institution in the area offering a dedicated Master of Science in Data Science (MSDS) at the time, Weber State provides more than just a degree; it offers a strategic "edge" for professionals looking to turn raw information into a competitive career advantage for them and their companies.

Why the MSDS at Weber State?

Snell’s journey highlights why the MSDS program is specifically designed for those already in the workforce. Encouraged by his wife, Quincy—a Weber State alumna herself—Snell found a curriculum that prioritizes the transition from "gut feeling" to data-driven certainty. In an era where AI and machine learning are redefining industry standards, the program focuses on the high-level strategy and clear communication necessary to lead in these spaces.

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"The program works well with current professionals," Snell explains, "because it allows students to take courses at their own pace. Professors work with students’ needs for online or hybrid classes that allow them to balance personal, career, and school life."

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Weber State MSDS: Program at a Glance

• Format: Flexible; online, hybrid, and in-person options
• Pace: Student-led; adjustable to balance career and family
• Class Size: Small; focused on faculty mentorship and peer networking
• Core Skills: Machine learning, predictive modeling, and data communication
• Real-World Impact: Project-based learning using industry-standard data sets

The Power of Small Classes

For Snell, the "Data Edge" isn't just about the algorithms; it’s about the environment. Because the MSDS class sizes are small, he has been able to connect more deeply with faculty and other students, fostering a collaborative atmosphere that is often missing in larger, impersonal programs. This connection allowed him to spend his time developing, interpreting, and communicating the best, most informed path forward—no matter the challenge's complexity.

From Classroom Theory to Real-World ROI

The true value of the MSDS program is best seen in its immediate applicability. In a recent course with Gavin Roberts, Chair of the Department of Economics, Snell utilized his company’s actual data to solve a pressing pricing challenge. By testing a hypothesis in class, he presented a strategy to his leadership that was immediately implemented to improve company outcomes. This seamless integration of academic research and corporate application is a hallmark of the Weber State experience.

Midway through his degree, Snell already sees the results. By mastering the strategies of A.I. and machine learning, he has transitioned from a student of data to a leader in his field.

Ready to gain your own data edge?
Visit the Weber State Master of Science in Data Science page to learn more about our curriculum and application deadlines.