MBA Portfolio
STEM MBA with Business Analytics and Marketing Concentration
This course introduces the theory, principles, and application of statistical and other quantitative analytic techniques which provide the managerial tools that you will need to make data-driven decisions.
This course is designed around the full analytics lifecycle which encompasses the business problem, the data, the analysis, and the decision. Students will learn to identify and clearly explain business problems that can be addressed with analytics. They will learn to determine which analytic methods are best suited to solve particular problems and clearly explain the results of an analytic model. Emphasis will be placed on analyzing real data and understanding how analytical thinking can be applied to solve big data problems.
This course examines how to collect and process data to make it useful, how to validate, protect, and process data to make it available, and how to create a place to properly store data.
This course will be focused on solving a real world business problem that includes a heavy data analytic component. The business problem will vary according to the client but could include problems from marketing, finance, supply chain, or other concentration areas.
Project Details: Forecasting for Eaton Corporation Supply chain management