Cost & earnings at Utah Valley University What students borrow here, and what they go on to earn
An 18-credit undergraduate certificate that teaches database fundamentals, applied data analytics, visualization and big-data techniques for students without a computing degree or for workers seeking a recognized credential to advance their analytics skills. Best suited to employees seeking career upskilling or degree-holders from other fields who want formal training in data analytics.
The certificate requires 18 credits: 15 credits of discipline core courses and a 3-credit elective. Core courses introduce database concepts, applied analytics, warehousing, visualization, and data science/big-data analytics. The listed curriculum and sample plan sequence are provided as a guide and may be adjusted with advising.
Completion requires a minimum of 18 semester credits with at least a C- in all courses and an overall GPA of 2.0. At least 9 residency credit hours must be earned through course attendance at UVU. Students are encouraged to meet with an advisor and use Wolverine Track to build an individualized plan; placement in Math and English or transfer credits may alter course sequencing.
The program prepares students for roles where database manipulation, analytics, visualization and data-driven decision support are required. Occupational categories connected with analytics skills listed on the program page include positions such as operations research analysts, data scientists, management analysts, general and operations managers, and business educators; those categories reflect typical sectors and job titles where graduates might apply their training.
The program page directs students to departmental advising for program information; for funding, students should consult UVU scholarship offices and departmental advisors about available scholarships, employer tuition assistance, and other financial-aid options that support certificate studies.
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