The I-CERT Lean Six Sigma Black Belt Level 2 Certification is a professional qualification focused on advanced process improvement, quality management, and data-driven decision-making. It helps learners identify inefficiencies in business processes and apply structured solutions that improve performance, reduce costs, and enhance customer satisfaction. This certification is widely used across industries such as manufacturing, healthcare, IT, logistics, and service operations.
This course introduces advanced Lean Six Sigma tools, methods, and problem-solving techniques used in real business environments. Learners develop a clear understanding of DMAIC (Define, Measure, Analyze, Improve, Control), statistical analysis, root cause identification, and process optimisation strategies. The training is practical and application-focused, enabling learners to handle real workplace challenges with confidence.
This qualification is valuable because it focuses on real operational impact and performance improvement. It strengthens analytical thinking, leadership in quality initiatives, and project management ability. It supports professionals in improving efficiency, reducing waste, and driving consistent improvement across different business processes.
- Age Requirements: Candidates must be at least 18 years of age at the time of enrolment.
- Professional Experience: At least 1–3 years of work experience is recommended.
- Educational Background: A minimum of secondary school education or equivalent is recommended.
- English Language Proficiency: An intermediate level of English proficiency is recommended.
Mandatory Units
Skills You Will Gain
Upon completing the Lean Six Sigma Black Belt Level 2 Certification, learners will acquire advanced skills in process improvement, statistical analysis, and operational excellence. The learning outcomes aligned with the 33 study units include:
1. Introduction to Six Sigma
- Understand Six Sigma principles and objectives
- Recognize the strategic role of Six Sigma in organizations
- Identify key benefits and applications of Six Sigma
- Develop a foundation for advanced process improvement
2. Six Sigma History and Practical Applications
- Explore the evolution of Six Sigma methodologies
- Examine real-world applications across industries
- Apply best practices to practical scenarios
- Understand global standards in process improvement
3. Process Improvement and Quality Methodologies
- Apply structured process improvement techniques
- Integrate quality management frameworks
- Identify inefficiencies and optimization opportunities
- Develop measurable performance improvement goals
4. Lean Principles and Concepts
- Understand Lean philosophy and waste elimination
- Apply Lean tools to improve process efficiency
- Enhance value stream flow and operational effectiveness
- Foster continuous improvement culture
5. Core Six Sigma Concepts
- Learn key Six Sigma terminology and metrics
- Understand process variation and capability
- Apply data-driven decision-making
- Establish project objectives aligned with business goals
6. Structured Problem-Solving Approaches
- Apply systematic approaches to problem-solving
- Identify root causes and prioritize solutions
- Develop actionable plans for improvement
- Align solutions with strategic objectives
7. Understanding Business Processes
- Map and analyze business processes
- Identify value-adding and non-value-adding activities
- Improve workflow efficiency
- Align process improvements with organizational goals
8. Quality Fundamentals
- Understand quality management principles
- Implement tools to measure and improve quality
- Monitor process performance
- Support continuous improvement initiatives
9. Project Selection and Prioritization
- Select high-impact Six Sigma projects
- Evaluate potential benefits and risks
- Prioritize initiatives based on organizational objectives
- Ensure alignment with strategic goals
10. Six Sigma Team Roles and Collaboration
- Understand roles within Six Sigma teams
- Facilitate effective collaboration
- Lead cross-functional teams
- Manage stakeholder expectations
11. Introduction to DMAIC and DMADV
- Learn the DMAIC and DMADV frameworks
- Apply structured methodologies to projects
- Identify areas for process improvement
- Enhance problem-solving capabilities
12. Define Phase
- Define project goals and scope
- Identify key stakeholders
- Develop project charters
- Establish measurable objectives
13. Measure Phase
- Implement advanced data collection methods
- Measure process performance accurately
- Identify sources of variation
- Prepare data for analysis
14. Analyze Phase
- Conduct root cause analysis
- Use statistical tools to identify process issues
- Prioritize causes for improvement
- Validate findings with data
15. Improve Phase
- Develop and implement solutions
- Optimize processes using Lean Six Sigma tools
- Test improvements for effectiveness
- Ensure alignment with business objectives
16. Control Phase
- Establish control mechanisms
- Maintain improvements over time
- Monitor performance using control charts
- Sustain process excellence
17. Intermediate Graphical Data Analysis
- Visualize data for insights
- Use graphs to detect trends and patterns
- Support decision-making
- Communicate findings effectively
18. Normal Probability Distributions
- Understand and apply normal distribution concepts
- Analyze process performance data
- Identify deviations from expected outcomes
- Make informed improvement decisions
19. Correlation and Regression Analysis
- Identify relationships between variables
- Apply regression for predictive insights
- Use correlation to guide improvements
- Support data-driven decisions
20. Non-Normal Probability Distributions
- Analyze processes with non-normal data
- Apply appropriate statistical tools
- Identify patterns and risks
- Enhance analytical accuracy
21. Hypothesis Testing Fundamentals
- Formulate hypotheses for process improvement
- Conduct tests to validate assumptions
- Interpret results for decision-making
- Support data-driven solutions
22. Sample Size and Data Reliability
- Determine adequate sample sizes
- Ensure data reliability and accuracy
- Apply statistical principles to projects
- Improve confidence in analysis results
23. Advanced Control Charts
- Monitor processes using control charts
- Detect variations and trends
- Maintain process stability
- Support continuous improvement efforts
24. Applying Statistics to Business Through Six Sigma
- Apply statistical methods to business problems
- Analyze data to support improvement decisions
- Evaluate process performance
- Implement evidence-based solutions
25. Introduction to Minitab
- Use Minitab for data analysis
- Apply statistical tools effectively
- Generate reports and insights
- Enhance analytical skills for projects
26. Graphs and Quality Tools in Minitab
- Create visual representations of data
- Apply quality tools for analysis
- Interpret charts for decision-making
- Support project reporting
27. Statistical Analysis Using the Minitab Stat Menu
- Perform advanced statistical analysis
- Use software tools to support data-driven decisions
- Analyze complex datasets
- Identify actionable insights
28. Analysis of Variance (One-Way ANOVA)
- Conduct ANOVA to compare group differences
- Identify significant process factors
- Apply results to optimize processes
- Support project improvement decisions
29. Design of Experiments (DOE)
- Plan experiments to test process changes
- Identify key variables and their effects
- Analyze results for optimization
- Apply DOE to improvement projects
30. Advanced DOE and Factorial Experiments
- Conduct factorial experiments for multiple variables
- Analyze interactions between factors
- Implement data-driven improvements
- Enhance process design effectiveness
31. Brainstorming and Process Improvement Tools
- Use creative problem-solving techniques
- Identify potential solutions and process improvements
- Prioritize ideas for implementation
- Support team collaboration
32. Process Mapping Techniques
- Map complex processes visually
- Identify bottlenecks and inefficiencies
- Improve workflow and resource utilization
- Align processes with organizational goals
33. Value Stream Mapping
- Apply value stream mapping to optimize processes
- Identify waste and non-value-added activities
- Enhance process flow and efficiency
- Support enterprise-wide Lean initiatives
The I-CERT Lean Six Sigma Black Belt Level 2 Certification is ideal for professionals who want to strengthen their ability to improve business processes, reduce operational waste, and lead quality improvement initiatives. It is designed for individuals working in real operational environments where efficiency, performance, and data-driven decisions are essential. This course supports practical skill development for achieving measurable workplace results.
Who Is This Course For?
- Quality assurance and quality control professionals improving efficiency and reducing defects.
- Manufacturing and production staff focused on process optimisation and waste reduction.
- Operations and supply chain employees enhancing workflow, productivity, and resource management.
- Supervisors and team leaders applying structured performance and execution methods.
- Healthcare, hospitality, and service professionals improving consistency and customer satisfaction.
- Data and analytics professionals using statistical tools for better decision-making.
- Project coordinators and managers leading continuous improvement initiatives.
- Administrative and corporate staff reducing delays and improving internal processes.
- Compliance, auditing, and monitoring personnel strengthening accuracy and standards.
- Problem-solving professionals applying Lean Six Sigma methodologies in real work scenarios.
The I-CERT Lean Six Sigma Black Belt Level 2 Certification opens strong pathways for professionals to take on more advanced roles in process improvement, quality management, and operational excellence. It builds the capability to lead complex improvement projects and contribute to organisational performance at a strategic level. Learners gain practical expertise that supports long-term career growth in quality-focused environments.
Future Progression
- Manufacturing professionals improving efficiency, reducing defects, and stabilising processes
- Healthcare staff enhancing patient flow, service quality, and coordination
- Logistics and supply chain teams optimising delivery systems and resource planning
- IT and digital professionals improving system performance and reliability
- Hospitality and service staff ensuring better customer experience and consistency
- Finance and office professionals reducing delays and improving process accuracy
- Supervisors managing workflow, performance, and structured task execution
- Quality and compliance roles maintaining standards and reducing variations
- Continuous improvement involvement in efficiency and operational projects
- Participation in improvement teams, data-driven decisions, and workflow enhancement activities
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