Join us in Pittsburgh, PA for this two week Six Sigma Master Black Belt certification program was created by 6Sigma.us to provide an advanced and focused approach to Six Sigma projects and statistical methods. The curriculum for the Six Sigma Master Black Belt training and certification was created so that the statistical knowledge of certified Black Belts would be advanced to a higher level of understanding.
Agenda Topics
Week 1 Six Sigma Master Black Belt Agenda
Master Black Belt Body of Knowledge
Six Sigma as a Business Strategy
DMAIC Roadmap and Project Coaching
Variation and Variance Components
Project Management and Selection
Business Process Scorecards
Advanced Control Charts
Variance Components with Control Charts
MSA Review with Destructive
Advanced Attribute MSA
Kappa MSA
Sampling Revisited
Distributional Analysis including Weibull
Minitab software Tricks and Tips
Non-Parametric Analysis
Regression Review and Non-Linear Models
Week 2 Six Sigma Master Black Belt Agenda
Regression Diagnostics
Best Subsets Regression
Collinearity and Regression
Modeling Qualitative Variables
Validating Models
Fractional-Factorial Review
Blocking and Design of Experiments
Sequential Experimentation
Foldover Designs
Plackett Burman Designs
Attribute Response Methods
Optional Integration Lean Overview
Optimization Designs
Multiple Response Optimization
Optional Formulation Designs
Integrating Robust Experiments
Experimental Planning
MBB Presentations
Accreditations
As an approved accredited provider by IACET, 6Sigma.us is authorized to offer students 6.8 CEUs. In addition, Global Six Sigma dba as Six Sigma.us has been approved by PMI to issue PDUs for our courses. Successful completion of the Master Black Belt training and required exams will provide 60 PDUs. (*PMI and the PMI Registered Education Provider logo are registered marks of the Project Management Institute, Inc.)
Join us in Pittsburgh, PA for this two week Six Sigma Master Black Belt certification program was created by 6Sigma.us to provide an advanced and focused approach to 
