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Dec 06, 2025
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MBA 6325 - Prescriptive Analytics
Prescriptive analytics includes a variety of topics related to decision-making within the context of business problems and applications. The primary goal of this course is to develop a model of a business scenario within a software environment. Students employ mathematical techniques that support or automate a course of action that should be taken by decision-makers. In this hands-on course, students are introduced to concepts related to constructing, testing, and applying prescriptive models and techniques that are common in business settings. From this perspective, students utilize software tools in order to apply a variety of decision-making techniques, including optimization and simulation.
Requisites: Admission to COB graduate or certificate program or permission
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Students will be able to calculate payoff values for a variety of business scenarios
- Students will be able to analyze decisions using decision rules and decision trees
- Students will be able to conduct a sensitivity analysis
- Students will be able to develop and apply optimization models
- Students will be able to develop and apply simulation models
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