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Mar 28, 2026
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QM 520 - Business Analytics
This course in business analytics develops important skills in data analysis, modeling, and decision making under uncertainty. It is designed to train students to use valid inferences data to inform their decision. The topics covered in the course include exploratory data analysis, probability, analysis, estimation, simulation, hypothesis testing, and regression analysis. Business Analytics emphasizes application of analytical techniques through its lectures, case analysis and discussions, and computer exercises. Effort is made to translate the statistical results into language understood by non-technical audiences and similar communication is expected from students. Real-world cases of successes and failures with analytics-based business strategies are considered. This course presents topics from statistics and decision theory that can help clarify managerial problems and aid in selecting appropriate courses of action to enhance decision-making ability. The focus is on analysis, interpretation, and application of data collected for management decision making. Topics include sampling, statistical inference and hypothesis testing, analysis of variance, chi-square, correlation and regression analysis, and applications to statistical process and quality control (SPC) and industrial experimentation (DOE).
Credit(s): 3
Prerequisite(s):
MGT 502 or QM 202 .
Outcomes
- Differentiate the various situations where basic business analytics tools can enhance the decision-making process
- Apply basic business analytics tools to analyze simple case studies
- Assess the connections between business analytics and others areas of organizational strategy through project-based learning
- Implement the analytical skills required in the 21st century, transforming data into actionable intelligence and business decisions
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