MSBA 329 Prescriptive Analytics & Optimization
Decision making is a critical part in any business. Prescriptive Analytics provides solutions to businesses worldwide with the advanced analysis techniques and tools. Optimization and simulation are two such methods that are the foundations of prescriptive analytics. In this course students will be able to examine and identify the classical and modern optimization techniques used in today’s business environment. Focused on linear and nonlinear programming techniques and their application in the business environment and modern simulation and optimization techniques, this course helps students understand the need and use of decision-making using these techniques. Corequisite(s): MATH 240 with a grade of “B” or better, MSBA 300 , and MSBA 320 .
View the Spring 2020 course schedules: