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Sep 07, 2026
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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 formulate payoff structures, evaluate sensitivity analysis outcomes, and develop a variety of decision-making techniques, including optimization, simulation, and models under uncertainty.
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 formulate payoff structures for a variety of business scenarios.
- Students will be able to evaluate the outcomes of a sensitivity analysis.
- Students will be able to develop optimization models for a variety of business scenarios.
- Students will be able to develop a decision-making model for a business scenario under uncertainty.
- Students will be able to develop a simulation model for a variety of business scenarios.
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