Minor: Data Analytics
Student Learning Outcomes
Students graduating from this program will:
- Read and write logical arguments using mathematical symbols
- Build, validate and analyze basic data-based models
- Communicate analytical results effectively
Math majors can have up to 6 hours of overlap with the Data Analytics Minor.
| Code | Title | Credits |
|---|---|---|
| Statistics - Take one of the following courses: | 3 | |
| Elementary Statistics | ||
| Business Analytics I | ||
| Introduction to Statistics in Sociology and Criminal Justice | ||
| Quantitative Methods In Psychology | ||
| Engineering Computation and Statistics | ||
| Introductory Programming & Data Analytics - Take one of the following courses: | 3 | |
| Machine Learning and Statistical Modeling | ||
| Applied Statistical Analysis | ||
| Analytical Reasoning & Intermediate Data Analytics I - Take all the following courses: | 6 | |
| On Solid Ground: Sets and Proof | ||
or COMP-SCI 191 | Discrete Structures I | |
| Graph Theory with Applications | ||
| Intermediate Data Analytics II - Take two of the following courses: | 6 | |
| Data-Driven Modeling | ||
| Spatial Data Analysis | ||
| Business Analytics II | ||
| Data Visualization | ||
| Customer Data Analytics | ||
| Econometrics | ||
| Introduction To Mathematical Statistics I | ||
| Applied Probability | ||
| Introduction To Mathematical Statistics II | ||
| Internship/Practical Training in Mathematics or Statistics | ||
| Quantitative Planning Methods And Techniques | ||
| Total Credits | 18 | |
