Business Analytics Certificate in Applied Science
Program Description
The embedded Business Analytics Certificate prepares students to use data-driven approaches to enhance business performance and decision-making. Through a combination of courses in business intelligence, data analysis, and predictive analytics, students will learn how to interpret business data, build analytical models, and apply their findings to real-world business challenges. This certificate is ideal for those looking to enhance their careers in business or pursue roles such as business analyst or data analyst.
Mission Statement
Entrance Requirements
High school diploma or GED.
Type of Program
Requirements for Completion
Employment Opportunities
Graduates of the Business Analytics Certificate are prepared for entry-level or support roles that assist with data collection, reporting, and basic analysis in business environments. Typical opportunities include junior business analyst, data analyst assistant, reporting specialist, operations support analyst, or roles that combine analytics tasks with existing business responsibilities. These positions are commonly found in industries such as healthcare, finance, retail, manufacturing, logistics, and professional services, where employees use data to support day-to-day decision-making and process improvement.
Listed below is a recommended sequence of courses. This plan is intended to be flexible and may be completed on a less-than-full-time basis, including three-quarter-time or half-time enrollment, to accommodate working professionals. Course availability and individual circumstances may affect scheduling, and not all courses are offered every semester. Students are encouraged to consult with an advisor to develop a personalized plan of study.
| Preferred Sequence | ||
|---|---|---|
| First Semester | Hours | |
| CPT 113 | Information Systems | 3 |
| CPT 257 | Operating Systems | 3 |
| CPT 170 | Computer Applications I | 3 |
| Total Semester Hours | 9 | |
| Second Semester | ||
| CPT 127 | Python Programming I | 3 |
| IST 272 | Relational Database | 3 |
| Total Semester Hours | 6 | |
| Third Semester | ||
| CPT 189 | Data Science I | 3 |
| MGT 101 | Principles of Management | 3 |
| CPT 270 | Computer Applications II | 3 |
| Total Semester Hours | 9 | |
| Fourth Semester | ||
| CPT 273 | Data Visualization | 3 |
| BUS 190 | Business Analytics I | 3 |
| IST 278 | Database Programming | 3 |
| Total Semester Hours | 9 | |
| Total Required Credit Hours | 33 | |