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Business Analytics Minor

Description

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.

Minor Information

  • 15 credit hours
  • Open to all students
  • 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
  • You must have a 2.00 GPA for all courses in the minor
  • Rapid succession of ISA 235, ISA 345, and ISA 401 is recommended
  • Rapid succession of ISA 225, ISA 391, and (if selected as an elective) ISA 491 is recommended
  • Some minor courses may be offered in Fall or Spring only
    • Please consult with FSB advising for individualized planning
  • Refer to the for course pre-and/or co-requisite requirements
  • You may earn more than one minor; however, at least 9 semester hours must be unique to a minor and may not be applied to requirements in your major, co-major, another minor, or an undergraduate certificate. Refer to the  for more information.
  • For more information, visit the FSB website

Program Requirements

Select all of the following:

  • ISA 345 (3) - Database Systems and Data Warehousing
  • ISA 391 (3) - Applied Regression Analysis in Business 
    • or ECO 311 (3) - Examining Economic Data and Models
    • or STA 363 (3) - Introduction to Statistical Modeling
    • or STA 463 (3) - Regression Analysis
  • ISA 401 - Business Intelligence and Data Visualization

Select two of the following (one must be an ISA course):

  • ISA 321 (3) - Optimization in Business Analytics
  • ISA 365 (3) - Statistical Monitoring and Design of Experiments
  • ISA 381 (3) - Concepts in Business Programming
  • ISA 414 (3) - Managing Big Data
  • ISA 444 (3) - Business Forecasting
  • ISA 480 (1-3) - Topics in Business Analytics
  • ISA 491 (3) - Introduction to Data Mining in Business
  • ISA 496 (3) - Business Analytics Practicum
  • ECO 411 (3) - Advanced Empirical Methods
  • STA 402 (3) - Statistical Programming

Minor Advisor