Modular Certificate in Data Analytics for Manufacturing Optimization (part of Diploma in Engineering (Advanced & Digital Manufacturing))
About This Course
This is part of Diploma in Engineering (Advanced & Digital Manufacturing) and consists of 180 hours of training.
This modular Certificate consists of the following modules:
M1: Data Analysis and Reporting (60 hours)
M2: Quality Assurance with Sustainability Practices (45 hours)
M3: Data Processing in Manufacturing (30 hours)
M4: AI Applications for Manufacturing (45 hours)
What You'll Learn
1) Perform effective information communication in workplace through the use of software tools.
2) Apply quality assurance practices based on industry recognised standards for manufacturing.
3) Identify areas for manufacturing process optimisation by applying data analytics and visualisation techniques and deploying AI Models in AI Applications.
4) Demonstrate digital fluency, sense making and decision-making process by applying data analysis techniques.
Entry Requirements
GCE 'O' level with minimum of 3 relevant passes and at least 1 year of relevant working experience; Nitec GPA ≥ 3.0 and at least 1 year of relevant working experience; Higher Nitec GPA ≥ 1.5 and at least with 1 year of relevant work experience; Nitec in Technology/Services* with GPA ≥ 3.5 and at least 1 year of relevant working experience; Higher Nitec in Technology/Services* with GPA ≥ 2.0 and at least 1 year of relevant working experience; Relevant WSQ Advanced Certificate (or higher), and at least 1 year of relevant working experience and Workplace Literary & Numeracy (WPLN) at Level ≥ 6; At least 2 years relevant working experience (subject to interview / assessment).
Applicants who do not meet the entry requirements may be considered for admission to the course based on supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or entrance test(s). The Polytechnic reserves the right to shortlist and admit applicant