Quality Systems & Analytics - Part of Modular Certificate in Analytics & Internet of Things (DEEC1)

Training Provider: Ngee Ann Polytechnic
Course Reference: TGS-2023020809
S$1,400

About This Course

1. Apply appropriate statistical techniques, quality tools and the use of MS Excel & MINTAB for data visualization & data analysis, so as to draw appropriate conclusions for decision making scientifically.
2. Apply Six Sigma DMAIC methodology, quality management principles and tools for quality assurance & process improvement in the manufacturing context.
3. Apply Design of Experiments for products and process improvement and optimization.
4. Demonstrate the ability to be resourceful, analytical, carry out research to acquire knowledge and skills, analyze experimental results and present findings in assignment/project works.

What You'll Learn

Quality Systems & Analytics - Part of Modular Certificate in Analytics & Internet of Things (DEEC1) is a 45 hrs module. This module prepares students to apply Six Sigma methodology and statistical methods & tools to analyze data for decision making scientifically for quality system management, process improvement and control in their future workplace. The MINITAB software and MS Excel for data analytics, statistical analysis and interpretations will be introduced. The topics covering quality tools and techniques in this module include Statistical Process Control for quality assurance, Design of Experiments for optimizing and improving products and processes, Repeatability & Reproducibility for measurement system analysis, Statistical Hypothesis Testing for root cause analysis, Lean Manufacturing for waste elimination, Failure Mode Effects Analysis, the Six Sigma DMAIC approach for defects reduction & process improvement.

Entry Requirements

Min. 3 relevant GCE ‘O’ levels and with at least 1 year of relevant working experience:
• English Language (Grade 1-7)
• Mathematics (Grade 1-6)
• One other subject (Grade 1-6)
OR NITEC with GPA >= 3.5
OR NITEC with GPA >= 3.0 and with at least 1 year of relevant work experience
OR Higher NITEC with GPA >= 2.0
OR Higher NITEC with GPA >= 1.5 and with at least 1 year of relevant work experience
OR NITEC in Technology or Services with GPA >= 3.5 and with at least 1 year of relevant working experience
OR Higher NITEC in Technology or Services with GPA >=2.0 and with at least 1 year of relevant working experience
OR relevant Advanced WSQ Certificate (or higher) and Level 6 WSQ Workplace Literacy SOA and Workplace Numeracy SOA and with at least 1 year of relevant working experience
OR applicants with at least 2 years of relevant working experience may apply for the course
Recognition of Prior Learning (RPL)

Course Details

Duration 45 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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