The Business Analytics minor is designed to enable non-Business Analytics majors to achieve competency in quantitative modeling and data analysis that will enhance their career preparation. This minor will provide students with the tools and skills needed to use quantitative data effectively in making business decisions in any field.
The minor consists of five courses with minimum of 15 credits.
Minor Requirements
Course List
Code |
Title |
Credits |
MGT 226 | Business Analytics | 3 |
| 2-4 |
| Introduction to SQL for Business | |
| Introduction to SQL for Business | |
| Database Management | |
| Introduction to Programming for Data Science | |
| Introduction to Programming Using Python |
| Predictive Analytics | |
| Simulation and Risk Analysis | |
| Optimization Models | |
| Machine Learning for Business | |
| Data Mining |
| Visual Analytics | |
| |
| Accounting Information Systems | |
| Introduction to Data Mining | |
| Database Design | |
| Database Programming | |
| Econometrics: Models and Organizations | |
| Data Analysis in Finance | |
| Operations and Supply Chain Management | |
MGT 357 | Project Management for Business | 3 |
| Applied Regression Models | |
| Applied Multivariable Statistical Methods | |
Total Credits | 17-22 |
NOTES:
MGT 226 is a pre-requisite for MGT 350, MGT 353, MGT 356, and MGT 386.
For students interested in learning and applying Python, a sequence of MGT 251 (or CIT 201) followed by MGT 388 is recommended. For advanced Excel applications, MGT 356 and MGT 386 are recommended.