Loading requirements...
SNHU Tools
Minor
In a wold where data has quickly gone from a scarce resource to an abundant one, statistical tools are rapidly evolving. In the age of "big data", "data science", and "data analytics" individuals who are trained to build and interpret statistical models are in high demand. Through this minor, students experience the data tidying process, visual story-telling with data using the grammar of graphics, and will also build, analyze, and interpret both competing regression models and classification models (in supervised and unsupervised settings). Students gain exposure to the theory behind, and application of, advanced techniques for modeling uncertainty with data.
The Statistical Modeling (Minor) program contains 6 identified courses across 1 requirement categories. The prerequisite data currently includes 7 known course relationships.
Structured catalog requirement categories, credit thresholds, and nested course rules.
15 Total Credits
Complete all of the following
Complete:
1 of the following:
Known courses in this degree map with credits and prerequisite links from catalog data.
| Course | Title | Credits | Prerequisites |
|---|---|---|---|
| MAT 225 | Calculus I: Single-Variable Calculus | 3 |
|
| MAT 300 | Applied Statistics II: Regression Analysis | 3 |
|
| MAT 350 | Applied Linear Algebra | 3 |
|
| MAT 434 | Statistical Learning and Classification | 3 |
|
| MAT 240 | Applied Statistics | 3 | None listed |
| MAT 241 | Modern Statistics with Software | 3 | None listed |
| MAT 140External | Precalculus | — | None listed |
| MAT 142External | Precalculus with Limits | — | None listed |
| MAT 243External | Applied Statistics for Science, Technology, Engineering, and Mathematics (STEM) | — | None listed |