Visit the Strategic Management and Operations Department page for more information on the program and access to advising.
Program Description
Provides the business analysis skill set needed for a business of any size. Includes current data skills in spreadsheet analysis, data visualization, data querying, business automation, and artificial intelligence. The Business Analysis certificate produces career-ready graduates in an emerging and cross-disciplinary set of business analysis skills to meet a rapidly growing demand for employees. Skill sets include business analysis planning and monitoring, elicitation and collaboration, data analysis, analytical thinking and problem solving, customer acquisition and retention, industry tools and technology/professional certification. Practical knowledge is gained by requiring each graduate to sit for at least one professional industry certification exam (Advanced Excel, for example). Students will also be provided multiple opportunities to interact and network with industry partners on in-class projects. Graduates will be prepared to enter the job market in a wide variety of analysis jobs in technology, manufacturing, marketing, financial services, healthcare, and supply chain.
Graduation Plan
This graduation plan is a sample plan and is intended to be a guide. Your specific plan may differ based on your Math and English placement and/or transfer credits applied. You are encouraged to meet with an advisor and set up an individualized graduation plan in Wolverine Track.
Plan of Study Grid | First Year |
| Semester 1 |
| MGMT 1400 | Introduction to Data Analytics | 3 |
| MGMT 2340 | Business Statistics I | 3 |
| | Credit Hours | 6 |
| Semester 2 |
| MGMT 2400 | Data Analytics for Business | 3 |
| | Credit Hours | 3 |
| Second Year |
| Semester 1 |
| MGMT 4350 | Business Intelligence and Data Visualization | 3 |
| 3 |
| Database Fundamentals | |
| HR Analytics | |
| Marketing Analytics | |
| | Credit Hours | 6 |
| Semester 2 |
| 3 |
| | Credit Hours | 3 |
| | Total Credit Hours | 18 |
An online graduation plan offers students a flexible yet structured approach to their academic journey. While this sample serves as a general guideline, individual plans may differ based on Math and English placement scores. Meeting with an academic advisor is strongly recommended to customize plans and ensure all graduation requirements are met.
Online course options are available at https://www.uvu.edu/online/courses/index.html, and advising support is available through your assigned advisor.
Plan of Study Grid
| First Year |
| Semester 1 |
| MGMT 1400 |
Introduction to Data Analytics |
3 |
| MGMT 2340 |
Business Statistics I |
3 |
| | Credit Hours | 6 |
| Semester 2 |
| MGMT 2400 |
Data Analytics for Business |
3 |
| | Credit Hours | 3 |
| Second Year |
| Semester 3 |
| MGMT 4350 |
Business Intelligence and Data Visualization |
3 |
INFO 2410
|
Database Fundamentals
or HR Analytics or Marketing Analytics |
3 |
| | Credit Hours | 6 |
| Semester 4 |
|
3 |
| | Credit Hours | 3 |
| | Total Credit Hours | 18 |