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Six Sigma Black Belt





The Certified Six Sigma Black Belt is a professional who can explain Six Sigma philosophies and principles, including supporting systems and tools. A Black Belt should demonstrate team leadership, understand team dynamics and assign team member roles and responsibilities. Black Belts have a thorough understanding of all aspects of the DMAIC model in accordance with Six Sigma principles. They have basic knowledge of Lean enterprise concepts, are able to identify non-value-added elements and activities and are able to use specific tools.


Gain advanced Six Sigma skills using Minitab 16 for all statistical analysis, and gain the skills required to be a mentor to Green Belts. This program provides the ability to achieve the internationally recognized Six Sigma Black Belt certification.
Minitab software is required for training.

What You’ll Learn

Advanced skills required to be a Six Sigma Black Belt Review of Green Belt techniques Steps required to complete Six Sigma projects with a focus on more complicated issues Advanced Minitab software skills needed perform more complex statistical analysis
Who Needs to Attend
Anyone interested in gaining advanced Six Sigma skills that would further your career or place you in a position for advancement in a Six Sigma environment


Six Sigma Green Belt certification is required for this course.

Course Outline:

Day 1/ Day 2 (2 X 4 hours modules)

A. 6 Sigma and organizational goals
1. Value of 6 Sigma

B. Organizational drivers and metrics

1. Lean concepts and tools)
2. Value-added and non-value-added activities
Theory of constraints

C. Design for 6 Sigma (DFSS) in the organization
1. Quality function deployment (QFD)
2. Design and process failure mode and effects analysis (DFMEA & PFMEA)
Road maps for DFSS

Day 3/ Day 4 / Day 5 (3 X 4 hours modules)-Define phase

D. 6 Sigma Process Management for Projects-Define phase
1. Process elements
Owners and stakeholders

2. Identify customers
Collect customer data
Analyze customer data

E. Translate customer requirements
Project management basics
1. Project charter and problem statement
Project scope
Project metrics

2. Project planning tools

3. Project documentation
Project risk analysis

4. Project closure

F. Management and planning tools
Business results for projects
G. Process performance
Failure mode and effects analysis (FMEA)
Team dynamics and performance
1. Team stages and dynamics

2. 6 Sigma and other team roles and responsibilities

3. Team tools

II. Communication

Day 6 / Day 7/Day 8 (3 X 4 hour modules)-Measure phase

A. Process analysis and documentation
1. Process modeling

2. Process inputs and outputs

B. Probability and statistics
1. Drawing valid statistical conclusions
Central limit theorem and sampling distribution of the mean

2. Basic probability concepts

C. Collecting and summarizing data
1. Types of data and measurement scales
Data collection methods

2. Descriptive statistics
Graphical methods

D. Describe and interpret normal, binomial, and Poisson, chi-square, Student’s t, and F distributions. (Apply)
E. Measurement system analysis
F. Process capability and performance
1. Process capability studies

2. Process performance vs. specification
Process capability indices

3. Process performance indices

4. Short-term vs. long-term capability

5. Process capability for attributes data

Day 9/ Day 10 / Day 11 (3 X 4 hour modules) Analysis phase

G. 6 Sigma Analysis
Exploratory data analysis
1. Multi-vari studies

2. Simple linear correlation and regression

H. Hypothesis testing
1. Basics

2. Tests for means, variances, and proportions

3. Paired-comparison tests

4. Single-factor analysis of variance (ANOVA)

5. Chi square

Day 12 /Day 13 (2 X 4 hour modules)-Improve Phase

III. 6 Sigma – Improve
A. Design of experiments (DOE)
1. Basic terms

2. Main effects

B. Statistical process control (SPC)
1. Objectives and benefits

2. Rational sub grouping

3. Selection and application of control charts

4. Analysis of control charts

Day 14 /Day 15 /Day 16 (3 X 4 hour modules)-Control Phase

IV. 6 Sigma – Control
A. Design of experiments (DOE)
1. Basic terms

2. Main effects

B. Statistical process control (SPC)
1. Objectives and benefits

2. Rational sub grouping

3. Selection and application of control charts

4. Analysis of control charts

C. Implement and validate solutions
Control plan

Note: -Some Tools are repeated in Improvement and Control Phases for strategic objectives.

Day 17 / Day 18 / Day 19 (3 X 4 hour modules)

V. Lean Concepts
A. Value Stream Mapping
1. Waste Elimination

2. 5 S

B. 6 Sigma Project
1. Objectives

2. Presentations

3. Minitab 16

Day 20 (4hour module)

VI. Knowledge Evaluation and Review

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    • 3

      Academic Qualifications


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    Department Contact Info


    TIC Mississauga (PCC Location)
    5975 Whittle Road
    Suite # 220.
    Mississauga, ON, L4Z 3N1


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