Quantitative Research & Analytics

Catalog description

This course provides the mathematical and statistical preparation to support subsequent doctoral course work within the Technology Management department and prepare the student to apply quantitative methods and data analysis techniques. Topics include probability, statistics, measurement and evaluation, sampling, designing studies, linear algebra, linear programming, optimization, simulation, and modeling and regression analysis. Students make extensive use of leading-edge industry software packages.