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[NP-CTDG10LS-FAS] (SCTP Module) Lean Six Sigma Green Belt (APMG International® Lean Six Sigma)

Offered by School of InfoComm Technology

Certifiable Courses

Course Schedule
About Course
Course Structure
Entry Requirements
Financial Matters
Register Interest
Area of interest
Data Analytics, Others, Technology

Course Schedule

By submitting your course application for this module, you are applying towards the SkillsFuture Career Transition Programme (SCTP) - Data Governance:
https://stms.polite.edu.sg/student/ihlcourse/detail/11c3258b-fd2c-4ddf-871e-7350f5dbc4b0

About Course

Course Objectives

In today's rapidly evolving data landscape, professionals in Data Engineering, Data Governance, and Data Security roles face increasing demands for efficiency, quality, and security. This 4-day intensive Lean Six Sigma Green Belt certification module, aligned with APMG International® standards, is meticulously designed to equip these specialists with the skills to drive process improvement and optimization. Participants will delve into Lean methodologies and Six Sigma tools, learning how to identify and eliminate inefficiencies, enhance data quality, and ensure robust data governance and security. The course also emphasizes the integration of AI technologies, providing insights into leveraging AI for advanced data analysis and decision-making while maintaining ethical standards and compliance.

Course Description

Through hands-on exercises, case studies, and practical applications, participants will gain the expertise to lead impactful Lean Six Sigma projects, positioning themselves as key drivers of innovation and excellence in their organizations. Upon completion, attendees will be well-prepared for the APMG International® Lean Six Sigma Green Belt certification, signifying their readiness to lead in the data-centric future.

Course Structure

TPG course reference No.

TGS-2025059395

(SCTP Module) Lean Six Sigma Green Belt (APMG International® Lean Six Sigma)
(SCTP Module) Lean Six Sigma Green Belt (APMG International® Lean Six Sigma) (NP-CTDG10LS-FAS)
In today's rapidly evolving data landscape, professionals in Data Engineering, Data Governance, and Data Security roles face increasing demands for efficiency, quality, and security. This 4-day intensive Lean Six Sigma Green Belt certification module, aligned with APMG International® standards, is meticulously designed to equip these specialists with the skills to drive process improvement and optimization. Participants will delve into Lean methodologies and Six Sigma tools, learning how to identify and eliminate inefficiencies, enhance data quality, and ensure robust data governance and security. The course also emphasizes the integration of AI technologies, providing insights into leveraging AI for advanced data analysis and decision-making while maintaining ethical standards and compliance.
A Certificate of Completion will be awarded to learner who achieve at least 75% attendance and pass all required assessment(s).

A Certificate of Attendance will be awarded to learner who meet the 75% attendance requirement.

This module is part of the SkillsFuture Career Transition Programme (SCTP) - Data Governance:
https://stms.polite.edu.sg/student/ihlcourse/detail/11c3258b-fd2c-4ddf-871e-7350f5dbc4b0

Entry Requirements

Condition 1

Highest qualification

Possess a minimum Diploma in IT/Computer Science, Science, Technology, Engineering, Mathematics, or Business-related disciplines.
or

Condition 2

Working experience

Have a minimum of 3 years of relevant work experience, with demonstrated proficiency in foundational digital literacy, an understanding of basic IT infrastructure and data concepts, and proven analytical and problem-solving skills within an operational or business context. Proficiency in English (written, spoken, reading, and listening) to effectively comprehend complex regulatory and technical course materials, engage in discussions, and communicate findings.

Financial matters

Course fees payable (incl. GST & excl. supplementary fee)

Description (SCTP Module) Lean Six Sigma Green Belt (APMG International® Lean Six Sigma) Total course fee
Full Course fee $3,488.00 $3,488.00
Additional course fee funding support $246.40 $246.40
SkillsFuture Mid-Career Enhanced Subsidy $406.40 $406.40
SkillsFuture Baseline Funding for Singapore Citizen aged below 40 $1,046.40 $1,046.40
SkillsFuture Baseline Funding for SPR $1,046.40 $1,046.40

GST rate

The course fees payable above are inclusive of 9% GST rate.

Payment option

The first payment needs to be made after accepting the offer.

Allowed payment by

The course fee allows to be paid by:
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).

Refund and withdrawal policy

  • Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
  • Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
  • Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.

Remarks

Government funding for SCTP only applies to all Singaporeans and Singapore Permanent Residents aged 21 years old and above, for more information please visit:
https://www.skillsfuture.gov.sg/careertransition

For more information on SkillsFuture Mid-Career Training Allowance, please visit:
https://www.myskillsfuture.gov.sg/content/portal/en/career-resources/career-resources/education-career-personal-development/SkillsFuture-Mid-Career-Training-Allowance.html

SkillsFuture Credit (SFC) can only be used to cover:
(i) Course fees payable;
(ii) Assessment fees which are part of the course;
(iii) Certification fees which are part of the course; and
(iv) GST imposed on components supported for SFC use.

Penalty charges apply if you:
(i) are absent/no-show;
(ii) withdraw from a course within 14 days of the course start date;
(iii) fail to meet terms and conditions for funding eligibility.

SFC cannot be used to offset penalty charges imposed by Ngee Ann Polytechnic.