Data Science Graduate Degrees in Utah

May 13, 2019

The University of Utah and Utah State University are just a couple of the schools in Utah that offer graduate programs in data science. Here we discuss various program options, how to apply, and special opportunities.

Data science is a broad field that often includes closely related subjects like data analytics and business analytics. There are several universities in Utah with graduate programs in these fields. Explore some of the programs and learn about graduation requirements.

Utah Schools with Graduate Degrees in Data Science

University of Utah

The University of Utah in Salt Lake City offers a variety of academic programs in data science, including a graduate certificate in big data, a Master of Science (MS) in Computing, a Doctor of Philosophy (PhD) in Computing, and an MS in Business Analytics. These programs may include subjects in data mining, machine learning, visualization, algorithms, and more. Some of these programs, like the graduate certificate in big data, may require as little as 15 credits, while other programs, such as the MS in Business Analytics, may require more than 30 credits and include a culminating experience, like a capstone project. The university also provides interested students with a Data Science Club and celebrates an annual Data Science Day event that includes guest speakers and a career expo.

Utah State University

Utah State University in Logan has an MS in Data Science and a Master of Data Analytics. The MS in Data Science requires core coursework in subjects like database systems, data mining, and data science, 2 elective courses, and a thesis. The Master of Data Analytics program allows students to specialize in statistics, management information systems, or economics and finance. The program requires 33 to 35 credits, depending on the specialization, and includes a final internship and capstone project.

Southern Utah University

Southern Utah University in Cedar City offers an MS in Business Analytics that trains students in data analytics and operations research. The program totals 33 credits and requires a capstone project. The curriculum is divided into 18 credits of analytics courses, 12 credits of economics, and 3 credits of computer science. Specific course topics include big data, data analytics, data processing, management science, database design, and marketing analytics.

Utah Valley University

This university in Orem provides a Certificate of Proficiency in Data Analytics for those holding a bachelor's degree in a different field. The certificate program requires 18 credits and students must maintain a 2.0 GPA to graduate and earn a 'C-' or higher in each course. The program does require some prerequisite coursework in statistics, but students can also pass challenge exams in place of the specific courses. Students in the certificate program take 15 credits of core courses in areas such as business intelligence systems, warehousing, applied data analytics, and data science, as well as a 3-credit elective.

Common Entrance Requirements

Admissions requirements for graduate programs in data science in Utah vary by institution and specific program, but generally, these schools require students to hold at least a bachelor's degree. Some schools may require students to meet a minimum GPA requirement and have prior coursework in areas like statistics, math, or business-related areas. Several schools require the GRE, but some may also accept the GMAT. These exams might be waived if students meet specific criteria, such as a combination of education and work experience. It is fairly common for applicants to submit transcripts, letters of recommendation, a resume, a statement of intent, and/or essay responses with their application.

Students in Utah can pursue graduate certificates, master's, or doctoral degree programs in the field of data science in several different cities throughout the state. Many of these programs require a final capstone experience and usually include coursework in areas like data mining, visualization, and analytics.

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