Minor: Data Analytics
Student Learning Outcomes
Students graduating from this program will:
- cleanse, visualize and analyze data
- 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 all the following courses: | 3 | |
Introduction to Data Visualization | ||
Introduction to Diagnostic Analytics | ||
Introduction to Predictive Analytics | ||
Analytical Reasoning & Intermediate Data Analytics I - Take all the following courses: | 9 | |
On Solid Ground: Sets and Proof | ||
or COMP-SCI 191 | Discrete Structures I | |
Graph Theory with Applications | ||
Machine Learning and Statistical Modeling | ||
Intermediate Data Analytics II - Take one of the following courses: | 3 | |
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 |