| New requirements for BBA in Statistics and Quantitative Modeling (effective Spring 2020) |
|---|
| Required Courses (12 credits) |
| Statistical Computing | 3 credits |
| Quantitative Decision Making for Business I | 3 credits |
| Business Statistics II | 3 credits |
| Regression and Forecasting Models for Business Applications | 3 credits |
Elective Courses (12 credits) (No more than six credits outside of the CIS, OPR, STA and MTH) |
| Programing and Computational Thinking | 3 credits |
| Object Oriented Programing | 3 credits |
| Programing for Analytics | 3 credits |
| Database Management Systems I | 3 credits |
| Object-Oriented Programming II | 3 credits |
| Data Warehousing for Analytics | 3 credits |
| Quantitative Decision Making for Business II | 3 credits |
| Bayesian Statistical Inference and Decision Making | 3 credits |
| Special Topics in Operations Research | 3 credits |
| Independent Study and Research in Operations Research | 3 credits |
| / | Data Mining for Business Analytics | 3 credits |
| / | Introduction to SAS Programming | 3 credits |
| Design and Analysis of Experimental Data | 3 credits |
| Analysis of Time Series | 3 credits |
| / | Data Visualization | 3 credits |
| Special Topics in Applied Statistics | 3 credits |
| Advanced Data Mining | 3 credits |
| Independent Study in Statistics | 3 credits |
| Marketing Research | 3 credits |
| Marketing Web Analytics and Intelligence | 3 credits |
| Marketing Analytics | 3 credits |
| Intermediate Calculus | 4 credits |
| ** Any MTH 4000 and above is also accepted as an elective |
Note: OPR 3300 Quantitative Methods for Accounting may be substituted for OPR 3450 with the approval of the area advisor. |
