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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

  • 21 credit hours
  • Open to all students
  • Students may earn either the Business Analytics minor or Analytics co-major
  • Note: For information Systems majors or Information 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 Farmer School faculty
  • You must have a 2.00 GPA for all courses in the minor
  • Rapid succession of ISA 235, ISA 245, and ISA 401 is recommended
  • Rapid succession of ISA 225, ISA 291, and (if selected as an elective) ISA 491 is recommended
  • Spring Only courses:
    • ISA 496
  • Refer to the for course pre- and/or co-requisite information

Program Requirements

  • ISA 225 (3) - Principles of Business Analytics
  • ISA 235 (3) - Information Technology the the Intelligent Enterprise
  • ISA 245 (3) - Database Systems & Data Warehousing
  • ISA 291 (3) Applied Regression Analysis in Business
    • or ECO 311 (3) - Ecamining Economic Data & Models
    • or STA 463 (3) - Regression Analysis
  • ISA 401 (3) - Business Intelligence and Data Visualization
  • Choose one:
    • STA 404 (3) - Advanced Data Visualization
    • ISA 321 (3) - Quantitative Analysis of Business Problems
    • ISA 365 (3) - Statstical Monitoring and Design of Experiments
    • ISA 444 (3) - Business Forescasting
    • ISA 480 (1-3, maximum 3) - Topics in Business Analytics
    • ISA 491 (3) - Introduction to Data Mining in Business
    • ISA 496 (3) - Business Analytics Practicum
    • STA 402 (3) - Stasticial Programming
    • STA 483 (3) - Analysis of Forecasting Systems
  • Choose one (must differ from first choice):
    • ECO 411 (3) - Advanced Empirical Methods
    • STA 404 (3) - Advanced Data Visualization
    • ISA 281 (3) - Concepts in Business programming
    • ISA 321 (3) - Quantitative Analyysis of Business Problems
    • ISA 365 (3) - Statistical Monitoring and Design of Experiments
    • ISA 414 (3) - Managing Big Data
    • ISA 444 (3) - Business Forecasting
    • ISA 481 (1-3, maximum 3) - Topics in Business Analytics
    • ISA 491 (3) - Introduction to Data Mining In Business
    • ISA 496 (3) - Business Analytics Practicum
    • STA 402 (3) - Statistical Programming
    • STA 483 (3) - Analysis of Forecasting Systems 

Minor Advisor