Data Models and Decisions

Management science framed as a toolkit: when a business decision has too many moving parts to reason about intuitively, you formalize it as an optimization or simulation model and let the math surface the answer. Expect to spend the semester in Excel and Solver — building LPs, integer programs, regressions, and Monte Carlo simulations from messy business scenarios, then doing sensitivity analysis to see which assumptions actually drive the result. It sits at the end of the MBA core because it leans on the statistics and probability you've already seen, and it's where finance, operations, and marketing electives stop being conceptual and start being quantitative.