Business Analytics Minor
For information, contact the Department of Information Systems and Analytics, 3095 FSB, 513-529-4826.
The business analytics minor complements many majors (including all business majors) by providing the managerial, analytical, and technical skills needed to gather data in real-time, store and organize the data, analyze the data using quantitative methods, and use the resulting information to make decisions that will allow an organization to gain competitive advantage. Coursework includes fundamental information technology and statistical concepts, database management and data warehouses, regression analysis in business, optimization of business systems using management science models, analysis of large data sets using data mining and business intelligence techniques.
For details regarding admission to FSB minors and availability of coursework, please refer to the information at the beginning of this section (under Farmer School of Business "Minors").
Note: For Information Systems and Cybersecurity Management majors at least 9 credit hours beyond the business core must be courses not double counted toward the major.
Note: For Statistics majors at least 12 credit hours must be courses taught by Farmer School Faculty.
Program Requirements for the Business Analytics Minor
(15 semester hours)
Code | Title | Credit Hours |
---|---|---|
Analytics Core Courses | ||
ISA 345 | Database Systems and Data Warehousing | 3 |
ISA 391 | Applied Regression Analysis in Business | 3 |
or ECO 311 | Examining Economic Data and Models | |
or STA 363 | Introduction to Statistical Modeling | |
or STA 463 | Regression Analysis | |
ISA 401 | Business Intelligence and Data Visualization | 3 |
Select two of the following - one must be an ISA course: | 6 | |
Optimization in Business Analytics | ||
Statistical Monitoring and Design of Experiments | ||
Concepts in Business Programming | ||
Managing Big Data | ||
Business Forecasting | ||
Topics in Business Analytics | ||
Introduction to Data Mining in Business | ||
Business Analytics Practicum | ||
Advanced Empirical Methods | ||
Statistical Programming | ||
Total Credit Hours | 15 |