SNHU Tools
Minor
Business Analytics is the intersection of data science with business. It has become important with the availability of big data and the real time nature of many business decisions. It helps in making business decisions that are based on hard data that are routinely collected by organizations. Business Analytics consists of three parts – descriptive analytics, predictive analytics and prescriptive analytics. Descriptive analytics analyzes past data in order to gain insights that can used in future decision making. Predictive analytics goes a step further and tries to predict future behavior. Prescriptive analytics which includes optimization techniques takes the predictions and aids in making decisions that will be optimal for the organization. This program includes courses that provide the foundational quantitative knowledge necessary for business analytics and application courses that cover all three areas of business analytics. The curriculum of the program is very hands-on that will prepare you for a successful career in the world of business analytics.
The Business Analytics (Minor) program contains 5 identified courses across 1 requirement categories. The prerequisite data currently includes 8 known course relationships.
Structured catalog requirement categories, credit thresholds, and nested course rules.
15 Total Credits
Complete all of the following
Complete:
Known courses in this degree map with credits and prerequisite links from catalog data.
| Course | Title | Credits | Prerequisites |
|---|---|---|---|
| MAT 240 | Applied Statistics | 3 | None listed |
| QSO 250 | Business Analytics | 3 |
|
| QSO 260 | Descriptive Analytics | 3 |
|
| QSO 320 | Management Science through Spreadsheets | 3 |
|
| QSO 370 | Predictive Analytics | 3 |
|
| MAT 243External | Applied Statistics for Science, Technology, Engineering, and Mathematics (STEM) | — | None listed |