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"). Students may earn either the Business Analytics Minor or the Analytics Co-Major.

Note: For information systems majors or ISA majors in the information systems track 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.

Course Requirements for the Business Analytics Minor

(21 semester hours)

Analytics Core Courses
ISA 225Principles of Business Analytics3
or ISA 205 Business Statistics
ISA 235Information Technology and the Intelligent Enterprise3
ISA 245Database Systems and Data Warehousing3
ISA 291Applied Regression Analysis in Business 13
or STA 463/STA 563 Regression Analysis
ISA 401/ISA 501Business Intelligence and Data Visualization3
Choose one:3
Advanced Data Visualization
Quantitative Analysis of Business Problems
Statistical Monitoring and Design of Experiments
Business Forecasting
Topics in Decision Sciences
Introduction to Data Mining in Business
Business Analytics Practicum
Statistical Programming
Analysis of Forecasting Systems
Choose one: (must differ from first choice)3
Advanced Empirical Methods
Advanced Data Visualization
Concepts in Business Programming
Quantitative Analysis of Business Problems
Statistical Monitoring and Design of Experiments
Managing Big Data
Business Forecasting
Topics in Decision Sciences
Introduction to Data Mining in Business
Business Analytics Practicum
Statistical Programming
Analysis of Forecasting Systems
Total Credit Hours21
1

 ECO 311 may be substituted for ISA 291 for economics majors only.