Six Sigma Green Belt Certification Programme

Course Pamphlet | Schedule | Enrollment | Professional Registration



Course Name: Six Sigma Green Belt

 

Six Sigma Institute is the only Examination Centre for the Certified Six Sigma Green Belt of the China Association for Quality in Hong Kong.

What is Six Sigma? What is Lean? What is the relationship between them?

Introduction

Six Sigma Green Belts are a vital part of a successful Six Sigma programme. Many organisations begin Six Sigma deployments by training capable employees to become Green Belts. They involve a larger critical mass of people to achieve breakthrough results from their Six Sigma initiatives. The aim of this course is to share our successful knowledge on how to apply the Six Sigma tools in achieving breakthrough improvements in customer satisfaction, cost reduction, process improvement and cycle time reduction.

The Six Sigma Green Belt Program contains of lectures, workshops and project works. Real study cases will be shared.

Who should attend?

  • Senior team leaders and managers.
  • Quality and process improvement professionals.
  • Those interested in becoming Six Sigma professionals.

Course Outline 

[DEFINE]

    • Introduction to SSI’s Green Belt Course
    • Overview of Six Sigma and Its Recent Development
    • Project Identification and Selection
    • Project Charter
      • Case Study – PDI Ltd
    • Define the Process
      • Case Study – SIPOC Chart
    • Voice of Customer

[MEASURE]

    • Overview of Measure Phase
    • Detail Process Map and Top-Down Chart
      • Case Study – Process Map
      • Case Study – Top-Down Chart
    • In/Output Analysis and C&E Matrix
      • Case Study – In-Output Analysis and C&E Matrix
    • Measuring and Collecting Data
    • Data Sampling Methods
    • Measurement System Analysis
    • Introduction to SigmaXL
    • Basic Statistics
    • Baseline Measure
    • Baseline Metrics
      • Case Study – Discrete Data

[ANALYZE]

    • Overview of Analyze Phase
    • Process Analysis
    • Identify Root Cause
      • Case Study – Graphical Data Analysis
    • Testing Relationships
      • Regression Analysis
      • Chi Square Test
    • Confirming Improvement Results

 

[IMPROVE]

    • Improve Phase Overview
    • Generating Ideas for Solutions
    • Piloting
    • Cost Benefit Analysis
      • Case Study – Improve
    • Implementing the Solution

[CONTROL]

  • Control Phase Overview
  • Process Risk Management – FMEA
  • Control Plan
  • Handoff Plan
  • SPC for On-going Control
    • Case Study – Attribute Control Charts
  • Introduction to TOCLSS
  • Why Six Sigma Professionals Have Better Career Opportunities
  • Overall Review
  • Mock Paper

 

Certification and Professional Registration

Certificate of Green Belt in Six Sigma will be awarded to participants who have 70% or above attendance, complete all assignments, submit one individual project and pass the examination.

Certification holders are eligible to be registered with SSI as a Registered Six Sigma Green Belt and granted with the title of RSSGB.

Course Fee

The course fee includes:

  1. Examination Fee &
  2. Administrative Charge for issuance of “Passing Certificate” (No Hidden Cost).

Please contact us about the course fee and DISCOUNT details.

Adverse Weather Class Arrangement

Payment Method


Six Sigma Green Belt Time Table

Six Sigma Green Belt

Last update: 2/6/2026 11:02:15

Early-bird
Deadline
Course CodeDateTypeTimeExam
16 MAYSSGB-26JUN13FJUN 13, 20, 27
JUL 4
Saturday9:30am – 6:00pm14 AUG
10 JUNSSGB-26JUN30OnJUN 30
JUL 2, 7, 9, 14, 16, 21, 23, 28, 30
Weekday7:00pm – 10:00pm11 SEP
13 JUNSSGB-26JUL11FJUL 11, 18, 25
AUG 1
Saturday9:30am – 6:00pm11 SEP
11 SEPSSGB-26OCT09FOCT 9, 16, 23, 30Weekday9:30am – 6:00pm13 NOV

Confirmed. There is a great chance that the class will be held
Limited seats
(E) = English Class
On = Online Class except the first & the last lessons and Exam will be undertaken at Six Sigma classroom


Six Sigma Green Belt Entry Requirements :

Applicant must have completion of F.5 or above with basic statistics knowledge (e.g. Mode, Median, Mean and Normal Curve)and preferably with 2-3 years of working experience.

If you cannot view below enrollment form, please click the DIRECT LINK HERE or DOWNLOAD the application form and send the completed form to us via email ([email protected]) or fax (25812776).