Certificate Requirements
| Course | Course Title | Min Credits |
|---|---|---|
| BUSA 120 | Business Software Applications | 3 |
| BUSA 201 | Business Communication and Professionalism | 3 |
| BUSA 207 | Introduction to Business Analytics | 3 |
| BUSA 208 | Business Analytics | 3 |
| BUSA 270 | Big Data and Business Analytics | 4 |
| Minimum Credit Hours Required | 16 | |
NOTE: This program is not yet approved for GI Bill® use.
Plan of Study Guide
| First Year | ||
|---|---|---|
| Fall | Credit Hours | |
| BUSA 120 | Business Software Applications | 3 |
| Total Semester Credit Hours | 3 | |
| Spring | ||
| BUSA 201 | Business Communication and Professionalism | 3 |
| BUSA 207 | Introduction to Business Analytics | 3 |
| Total Semester Credit Hours | 6 | |
| Second Year | ||
| Fall | ||
| BUSA 208 | Business Analytics | 3 |
| Total Semester Credit Hours | 3 | |
| Spring | ||
| BUSA 270 | Big Data and Business Analytics | 4 |
| Total Semester Credit Hours | 4 | |
| Minimum Credit Hours Required | 16 | |
Program Learning Outcomes
Upon successful completion of this program, students will be able to:
- Formulate business questions that lead to business strategies or actions.
- Describe the data in terms of the business context.
- Perform data wrangling to prepare the data for subsequent analyses.
- Develop predictive models to inform decision-making and select the best predictive model(s).
- Evaluate model performance from a business perspective.
- Communicate key findings through storytelling.
- Connect with the business community.
- Engage with community members in experiential learning opportunities through class assignments.
- Connect with peers through case studies and group projects.
- Create reports to include charts/graphs, analyses, interpretations, and recommendations.
- Present findings in the form of an oral presentation.
- Demonstrate effective use of relevant technology in the business analytics field.