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Course Descriptions

The Rose‑Hulman Master of Science in Engineering Management and Master of Engineering Management are designed for engineers who seek to deepen their technical background while acquiring solid, forward-looking management credentials. In our curricula, you'll find the management foundations of an MBA, but with added technical focus. We provide technology and business leaders a convenient fast track to the integration of management skills and critical technical knowledge.

EMGT 546 - Statistical Methods in Six Sigma

A course on statistical methods used in the Six Sigma to include the following topics: the history of Six Sigma, certification and belts, the Define-Measure-Analyze-Improve-Control (DMAIC) methodology, review of statistical tools associated Six Sigma (e.g., the “Magnificent Seven,” inference, graphics), project selection tools (e.g., Voice of Customer, Affinity Diagram, Critical to Quality Diagram), Define phase tools (e.g., Spaghetti Diagram, Kano Model, Root Cause Analysis, Cause and Effect Diagram), computation of Sigma Levels and Defects per Million, Measure phase tools (e.g., Gage Repeatability and Reproducibility, Attribute Agreement Analysis, descriptive and inferential statistics), Analyze phase tools (e.g., Cause and Effect Matrix, Failure Modes and Effects Analysis, Design of Experiments), Improve phase tools (e.g., practical applications to improve a real-world process), Control phase tools (e.g., control charts, capability analysis), cost of poor quality, and the use of statistical software for data analysis. The use of real-world data in exercises will be emphasized. Other topics to be included as time allows: lean methodologies, team formations, Taguchi’s loss function, regression, process tampering.