Quality Systems & Data Analytics - Part of Modular Certificate in Digitalisation & Project Management (DEEC2)
About This Course
This module provides the learners with the necessary knowledge and skills to apply quality system management principles, statistical data analysis techniques, quality improvement tools, manufacturing management concepts in their workplace. Topics covered include Quality Management & Process Improvement; Six Sigma Methodology for defect reduction; Fundamentals of Statistics & Probability; Process Capability Analysis, Statistical Hypothesis Testing; Root Cause Analysis; Repeatability & Reproducibility for measurement system analysis; Design of Experiments for optimizing and improving products and processes; Statistical Process Control for quality assurance. Learners will be equipped with the knowledge on ethical use of data.
What You'll Learn
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)
• Science (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)