MSA 510 - Analytics Foundations (3 cr.)

This course introduces students to the methodologies, techniques and tools most commonly used in Business Analytics. These foundational methods are from the fields of statistics, operations research and information systems. Topics include techniques and tools for visualization, inference, forecasting, optimization, simulation, data mining etc. The emphasis is on exposing the student to the techniques and software tools that are used in the industry and will be used in the rest of the program.
Prerequisite(s): Knowledge of introductory statistics, introductory algebra, Excel, and some coding experience (e.g., in SAS, R or Python).