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Certified Lean Six Sigma Black Belt (CLSSBB)

Course Information

  • Sessions 5 days
  • Duration 37.5 hrs
  • Level Beginner
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Course Brochure

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Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.

Certified Lean Six Sigma Black Belt (CLSSBB)

Course Code: C913

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What's This Course About

This Certified Lean Six Sigma Black Belt (CLSSBB) course provides in-depth training on the Six Sigma methodology, focusing on quality control, process improvement, and data-driven decision-making. Participants will gain a thorough understanding of the DMAIC (Define, Measure, Analyze, Improve, Control) framework, learning to identify, evaluate, and lead Six Sigma projects that drive organizational success. The course includes comprehensive modules on setting SMART goals, conducting Voice of the Customer (VOC) analysis, and developing detailed project charters.

Throughout the course, participants will master essential tools such as root cause analysis, statistical process control, process mapping, and error-proofing strategies like FMEA and Kaizen. By the end of the program, participants will be equipped with skills in cost-benefit analysis, control planning, and implementing sustainable process improvements, positioning them as valuable assets for continuous improvement and operational excell

Bonus: Free Practice Exams

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

Funding Options

For WSQ funding, please checkout the details at WSQ - Certified Lean Six Sigma Black Belt (CLSSBB) Training

Course Fee

$1,500.00 (GST-exclusive)
$1,635.00 (GST-inclusive)

Course Date

Course Time

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Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

This course prepares you for the CLSSBB-001 certification exam, covering all official exam domains:

Domain 1 Section I – Organizational Roadblocks & Lean Management

  • Identify organizational roadblocks and resistance to change
  • Understand continuous improvement approaches (overview)
  • Apply Lean and Six Sigma fundamentals
  • Use Lean management metrics: Takt Time, Cycle Time, PCE, Lead Time, SWIP, Setup/Changeover time
  • Apply Lean tools: 5S, Kaizen, SMED, Heijunka

Domain 2 Section II – Pre-Define and Define Phase

  • Compare DMAIC versus DFSS approaches
  • Assess pre-define prerequisites and project prioritization (NPV, IRR, enterprise vs. line-of-business view)
  • Develop project charters and manage team dynamics
  • Build SIPOC/COPIS process maps
  • Capture Voice of Customer/Business/Process and define CTQ, CTC, CTS
  • Apply the Kano Model and Quality Function Deployment; establish baseline performance metrics and Rolled Throughput Yield

Domain 3 Section III – Measure Phase

  • Identify data types and distributions (Normal, Binomial, Poisson, Weibull)
  • Perform Measurement Systems Analysis and GAGE R&R
  • Calculate process capability indices (Cp, Cpk, Cpkm)
  • Conduct normality testing

Domain 4 Section IV – Analyze Phase

  • Perform regression analysis (simple, multiple, curvilinear)
  • Use Fishbone diagrams and Pareto charts for root-cause analysis
  • Conduct hypothesis testing (parametric and non-parametric methods)

Domain 5 Section V – Improve Phase

  • Perform cost-benefit analysis
  • Design and analyze experiments (DOE, factorial designs)
  • Prioritize improvement solutions using decision matrices

Domain 6 Section VI – Control Phase

  • Apply Taguchi's Loss Function
  • Build and interpret control charts (variable and attribute)
  • Develop control plans and execute project closure
  • Introduce Total Productive Maintenance

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Six Sigma Black Belt Specialist
  • Quality Improvement Manager
  • Process Improvement Consultant
  • Operations Analyst
  • Lean Manufacturing Engineer
  • Quality Assurance Lead
  • Project Manager for Continuous Improvement
  • Business Process Consultant
  • Data Quality Analyst
  • Operations Excellence Manager
  • Supply Chain Optimization Analyst
  • Lean Six Sigma Coach
  • Performance Improvement Specialist
  • Industrial Engineer
  • Process Control Analyst
  • Organizational Development Consultant
  • Statistical Process Control Analyst
  • Quality Control Engineer
  • Compliance and Process Auditor
  • Cost Reduction Analyst

Trainers

Trainers

Man Guo Chang graduated from Nanyang Technological University, School of Electrical and Electronic Engineering, major in Computer Engineering.
He has more than 25 years of working experience in the Semiconductor field, specialized in IC Testing, Inline Electrical Testing, Product & Yield Engineering, Data Analysis, System Engineering, and Software Development. He is also an ACTA certified trainer, currently providing STEM training to adult learners in the area of Computer Vision, Internet of Things, Embedded Electronics, and Python Programming

Richard Wan is an ACLP-certified lecturer and software consultant with over 40 years of experience in software and hardware development, spanning AI, computer vision, and machine learning. He began his programming career with 8-bit computing in the late 1970s and went on to earn his M.Sc. in Electrical Engineering (Computer Vision) from the University of Wisconsin–Madison. His professional contributions include co-founding multiple high-tech companies, pioneering digital publishing technologies, and leading AI-driven software development in healthcare, defense, and manufacturing. Richard has taught a wide range of technical courses, including machine learning with Scikit-Learn, deep learning with TensorFlow and PyTorch, and computer vision with OpenCV. In predictive analytics, he emphasizes the use of PyTorch for building deep learning models that can forecast trends, detect anomalies, and classify outcomes. His teaching approach blends decades of hands-on development with structured, beginner-friendly instruction, equipping learners with practical skills to transform data into prediction.
Ken Yuen is an ACTA-certified adult educator specializing in STEM education, IoT systems, and programming. With a background in electrical and electronics engineering from NTU, he has conducted WSQ and SkillsFuture courses in Arduino, Raspberry Pi, micro:bit, Jetson Nano, and Python. He is also a registered MOE instructor, having taught coding and robotics programs in over 50 schools, equipping students and professionals alike with practical IoT and programming skills. In his IoT courses, Ken focuses on hands-on experimentation with microcontrollers, sensors, and automation systems. His prior experience as a Technical Consultant at Anson Engineering saw him develop IoT-based SCADA and temperature monitoring systems for industrial applications, giving him strong industry insight. By blending educational expertise with technical project experience, Ken ensures learners develop the confidence to build, test, and apply IoT solutions in real-world contexts.

Review

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