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Business Analytics
Description: Data analytics for business intelligence and decision making. Topics include the use of historical business data for quantitative analysis, data mining, predictive modeling, data warehousing, reporting, and decision making techniques, encompassing functional areas like marketing and finance. Co-convened with BAN 440. Letter grade only.
Units: 3
Sections offered: Fall 2025 Spring 2026 Summer 2026
Prerequisite: Admission to Business Analytics GCRT, Computational and Applied Data Science MS, Business Analytics MS, Computer Science MS, Electrical Engineering MS, Information Technology MS, or Management Information Systems MS
Business Analytics
Term : Fall 2025
Catalog Year : 2025-2026
BAN 540 - Applied Business Intelligence
Description: Data analytics for business intelligence and decision making. Topics include the use of historical business data for quantitative analysis, data mining, predictive modeling, data warehousing, reporting, and decision making techniques, encompassing functional areas like marketing and finance. Co-convened with BAN 440. Letter grade only.
Units: 3
Sections offered: Fall 2025 Spring 2026 Summer 2026
Prerequisite: Admission to Business Analytics GCRT, Computational and Applied Data Science MS, Business Analytics MS, Computer Science MS, Electrical Engineering MS, Information Technology MS, or Management Information Systems MS