About the Program

Computational data science is a new program of study at Utah Valley University. This program is designed to produce power users of machine learning and artificial intelligence technology. Feedback from local industry has emphasized the importance of training students to support all aspects of a data science pipeline.

Students of computational data science at UVU will build a foundation of knowledge by studying mathematics, statistics, and computer science. With that foundation in place, students will then study modern database theory, methods for causal inference, data visualization techniques, machine learning algorithms, and how artificial intelligence can solve real-world problems.

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B.S. in Computational Data Science

121 Credits to Graduate

Students will learn mastery of all aspects of data science, theoretical and applied. Combining elements of mathematics, statistics, and computer science, students will be trained to wrangle, clean, explore, pre-process, model, validate, and tell the story of large, complex, modern, and novel data sets.

Testimonials

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Message From the Program Coordinator

"UVU's data science program emphasizes computation. The computational data science program at UVU has been designed to produce power users of software to analyze big data. Rigorous study of mathematics is required, at least through calculus 3 and linear algebra. We have a modern course in causal inference, data management taught by instructors with industry experience, and a capstone project in applied data science. After completing our advanced, year-long course in machine learning, students will have a deeper understanding of artificial intelligence. Students who graduate with a degree in computational data science from UVU will be prepared for graduate school or industry, and ready to make an immediate impact."

Dr. Brian Knaeble, Program Coordinator

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