University of Missouri – Saint Louis College of Business Administration is among the 132 graduate business programs that provide Doctoral degree in Business Administration. As one of the top rated higher education institute located in Saint Louis, Missouri, the University of Missouri – Saint Louis offers PhD Program through College of Business Administration. This page details GMAT requirements, types of degree offered, concentrations, and financial costs of University of Missouri – Saint Louis College of Business Administration PhD Program. See ANYCOUNTYPRIVATESCHOOLS.COM for top business schools in Nebraska.
PhD Program (More than 2 years)
|Program Name||PhD Program|
|Program Overview||Logistics & Supply Chain Management (LSCM) are key areas of growing importance for 21st century economies locally, nationally and internationally. The Ph.D. in Business Administration with a Logistics & Supply Chain Management emphasi…|
|Areas of Study||
|Joint Degree Offered||No|
|GMAT Score||GMAT Accepted|
|Tuition & Fees||Residents, Per Credit Hour: USD 447
Non-Residents, Per Credit Hour: USD 1,046
|Financial Aid Availability||Financial aid available, contact school for more information|
|Start Dates &
|Program Size||Class size: 2 for the entering class of Fall 2013|
Spreadsheet Modeling for Marketing
In this course we will use optimization and Monte Carlo simulation to help the student learn how to analyze many important marketing problems. Many of our topics will use both optimization and simulation. The primary emphasis of the course will be on modeling the financial return on marketing investments, optimal pricing and forecasting.
- Using Monte Carlo simulation for customer value modeling
- Using Monte Carlo simulation to estimate ROI on marketing strategies
- Media selection models and sales force allocation models
- AHP and goal programming for multiple objective decision-making
- Estimating a demand curve and using it for optimal pricing.
- Global pricing issues: exchange rate variation and gray imports.
- Nonlinear pricing: bundling and quantity discounts. Introduction to logistic regression.
- Logistic regression and discrete choice analysis for pricing and product line selection.
- Cluster analysis and collaborative filtering, forecasting with special factors. Introduction to yield management
- Yield management continued. TSP model, optimal layout of shopping malls, designing a 7-11 via sales complementarity
- Forecasting sales of a new product: S curves, Bass model, and movie revenue forecasting
- Using Risk Optimizer to determine optimal ordering policies
- Queuing Theory: Managing customer Service