[NP-DEM1] Diploma in Engineering (Mechanical) (DEM1)

Offered by School of Engineering

Part-time Diploma

About Course
Course Structure
Entry Requirements
Financial Matters
Course Schedule

About Course

Course Objectives

The main objective of the part-time Diploma in Engineering (Mechanical) is to train students to have a strong fundamental knowledge and skills in mechanical engineering. The course builds on the strong foundation in the basic and core subjects, enabling graduates to be effective and productive members of the professional workforce and to continue to build upon their knowledge and stay current of technological developments. Graduates of this course may find job opportunities in the sectors of Precision Engineering, Energy & Chemicals, Marine & offshore, Aerospace and Electronics, government and transportation industries.

Course Description

The Diploma in Engineering (Mechanical) is a part-time CET course, consist of the following modules:
1) Internet of Things (60hrs)
2) Quality Systems & Data Analytics (60hrs)
3) Project Management in Digitalization (60hrs)
4) Mechanical Design (60hrs)
5) Structural Strength Design (60hrs)
6) Machine Element Design (60hrs)
7) Computer Aided Engineering Drafting (60hrs)
8) Computer Aided 3D Design (60hrs)
9) Manufacturing Technologies (60hrs)
10) Power Hydraulics (60hrs)
11) Industrial Automation (60hrs)
12) Instrumentation & Control (60hrs)
*Elective: choose either 5A, 5B or 5C
13) *5A-Fluid Mechanics (60hrs)
14) *5A-Thermodynamics (60hrs)
15) *5A-HVAC Design (60hrs)
16) *5B-Electrical Circuit Analysis (60hrs)
17) *5B-PV Cell and Module (60hrs)
18) *5B-PV System Design & Integration (60hrs)
19) *5C-AI for Manufacturing Engineer (60hrs)
20) *5C-Data Handling and Information Visualisation (60hrs)
21) *5C-Machine Learning Systems for Engineers (60hrs)

Trainer's Profile

Goh Khing Sua

Goh Khing Sua is an experienced engineer and educator with a strong foundation in Mechanical Engineering. Holding both a Bachelor of Engineering and a Master of Science (M.Sc.) in Mechanical Engineering from the National University of Singapore, Khing Sua’s academic qualification is complemented by a range of skills and experiences.

Khing Sua’s interests spans several key areas within Mechanical Engineering, including Industrial Automation, Electro-pneumatic control, Hydraulics, Programmable Logic Controller, and Mechanical systems. His passion for these fields is evident in his teaching experience, where he has imparted knowledge in modules such as Industrial Automation, Applied Mechanics, and Foundation in Systems Design.

Other qualification includes an Advanced Certificate in Training and Assessment (ACTA), which emphasised good pedagogical foundation. He has demonstrated leadership in curriculum development, creating course materials, and setting up laboratory equipment to enhance the learning experience for his students.

Khing Sua has industry experience in various sectors. He has worked in manufacturing, specifically in the production of lift/elevator parts and machinery. In this role, he supervised a team of workers, ensuring the timely and efficient manufacturing of elevators while maintaining quality standards.

Additionally, Khing Sua has experience working in the Mechanical and Electrical Services, involving in Air-conditioning & Ventilation and Fire Protection systems for buildings under construction. His role involved coordination with other services to ensure project schedules were met and cost management objectives were achieved.

With a wealth of knowledge, practical experience, and a passion for education, Goh Khing Sua is a valuable asset to both the engineering industry and the academic realm. His dedication to excellence, coupled with his hands-on approach to teaching and problem-solving, makes him a highly respected figure in the field of Mechanical Engineering.

Jem Lim Chong Beng

Jem Lim holds a Master of Applied Finance from University of Adelaide, Master of Science in System Design from Cranfield University, Master of Science in Mechanical Engineering from National University of Singapore, and Bachelor of Engineering in Mechanical Engineering (Hons) from University of Sheffield.

Among Jem’s professional accreditations, he is a Certified Project Management Professional (PMP®) and a Member of Project Management Institute (PMI), USA as well as PMI Singapore Chapter.

Jem’s areas of expertise are in Mechanical engineering and in Automotive engineering with more than 15 years of experience in engineering design, system integrations and project management. He has experience in the design of complex systems and products, from concept to production and can apply engineering principles and practices to solve real-world problems. In System Integrations, Jem is experienced in integrating sub-systems and components into a whole system. As a project manager, Jem has proven track record of successfully managing complex projects on time and within budget.

Jem is also an accomplished trainer and mentor. He has more than 10 years of teaching experience in engineering and related subjects at tertiary level.

Jem currently teaches Mechanical Engineering to Full time and Part-time students with focus on Engineering System Design, Computer-Aided 3D Design, Integrated Real World Projects (IRP) 3 and 4, Engineering and Society and Project Management. Besides that, he also teaches in short courses namely National EV Specialist Safety (NESS), Vehicle Safety & Maintenance and Driver Safety Training.

Course Structure

TPG course reference No.

TGS-2023020971,TGS-2023035631,TGS-2023035635,TGS-2023035630,TGS-2023035634,TGS-2023035629,TGS-2023035633,TGS-2023035632

Diploma in Engineering (Mechanical)

Certificate in Automation & Control
Industrial Automation (NP-010114)
This module aims to equip students with the basic knowledge of general electronic devices as well as hard-wired and programmable types of automation solutions. Their applications in sequential control systems and low-cost automation will be covered.

Major topics include electro-pneumatics technology and programmable logic control. The essential hardware components used in automated systems, such as sensors, valves and actuators will be applied to the automated systems. Widely accepted industrial control programming language LD will be covered, in conjunction with the learning of programming logic controllers and computer interfaces.

Laboratory work involves hands-on circuit construction and implementation using these various technologies and techniques, which enhances students’ understanding of the practical aspects of circuit designs.
Instrumentation & Control (NP-010115)
This module aims to provide students the essential knowledge on the various types of control components, the operation of feedback control systems, effects of controller setting on system performance and stability as well as the impact of Industry 4.0 in Process Industries. Automatic continuous control systems are used extensively, from controlling operation in home appliances to machines and systems used in manufacturing and process industries.
Power Hydraulics (NP-010113)
This module aims to impart the fundamental concepts of industrial hydraulic applications to be implemented in automation and process industries. Core competencies in the module will include the understanding of the typical component blocks such as hydraulic power pack systems, hydraulic actuators and the different types of hydraulic valves that make up industrial hydraulic systems for various applications. An integration of the industrial hydraulic system with electrical controls will be illustrated.

Laboratory work involves simulation, hands-on circuit construction and implementation using these various technologies and techniques, which enhances students’ understanding of the practical aspects of circuit designs and their applications in the manufacturing and process industries. The practical skills acquired from this module are required for the follow-up module in integration-based subjects as well as project work.
Certificate in Digitalisation & Project Management
Internet of Things (NP-013189)
This module aims to equip students with a basic knowledge about Internet of Things (IoT). Students will learn the system architecture of a typical IoT system with a good understanding on functionalities of its building blocks. They will acquire the necessary skills and knowledge through practical exercises and lectures/tutorials. Upon completion of the module, students are equipped with knowledge and skills to design and implement a simple IoT system prototype with off-the-shelf equipment/platforms/services.
Project Management in Digitalization (NP-0913PMD)
This module aims to equip students with knowledge of project management in engineering projects. In particular, modern day digital technologies will be introduced in the project management considerations. Students will learn the process of coordinating a project team and its resources to successfully execute a specific project from start to finish. Student will learn some project management tools which includes planning the activities, measuring the progress, allocating resources, identifying constraints and completing the task while respecting those constraints.
Quality Systems & Data Analytics (NP-0912QSDA)
This module provides the students 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.
Certificate in Engineering Design & Manufacturing Technologies
Computer Aided 3D Design (NP-009712)
This module aims to help the students in the application of the drafting concepts and modeling techniques for development of product models in the design process. Students will learn the principles and capabilities of CAD through three dimensional (3D) solid modeling of engineering components and assembly. An assignment is used to consolidate the concepts and techniques learnt from the CAD module.
Computer Aided Engineering Drafting (NP-009711)
This module aims to provide students with fundamental training in the principles and practices of the international graphic language for engineering that is based on the International Standard Organization (ISO) and the Singapore Standards (SS) guidelines. The module comprises short lectures and numerous hands-on exercises in creating mechanical engineering drawing using various principles and techniques. The topics include orthographic projection, sectioning, dimensioning, conventional representation and assembly drawing. AutoCAD is taught and used as the tool to make drawings in exercises. Practical industrial examples and practices are emphasised.
Manufacturing Technologies (NP-0933MFT)
This module aims to provide students with the basic knowledge on conventional and unconventional processes used to support manufacturing industries. It covers principles and application on conventional machining process such as turning, welding and unconventional machining process like laser cut and waterjet machining. In addition, students will also learn fundamental concepts of manufacturing systems and how automation strategies achieve high-value products and services.
Certificate in Machine Learning and Data Visualization Elective
AI For Manufacturing Engineer (NP-0957AME)
This module introduces students with the technical skills to apply machine learning algorithms and deploying practical Artificial Intelligence (Al) models with an industrial edge controller for anomaly detection and predictive maintenance. The course will also cover the essential concepts and background for data analysis on supervised and unsupervised machine learning models and their applications in advanced manufacturing.
Data Handling and Information Visualisation (NP-0958DHIV)
This module covers data importing, cleaning, interpreting and visualizing. The students will learn advanced methods with Tableau software. This module deals with methods used to manage and analyse real world large datasets and present the results in visually understandable way. It helps to solve the complex engineering challenges present in the data. In this module, students will be learning new techniques and tools in Tableau to become more resourceful for the engineering industry.
Machine Learning Systems for Engineers (NP-0959MLSE)
This module will help students to apply AI techniques to their fields in order to get accurate solutions. This module covers the basics of artificial intelligence, machine learning and deep learning. It deals with different types of learning techniques like: supervised, unsupervised and reinforced. The concept of features, data handling, training and testing will be explained. It focuses more on the theory, design and applications of artificial neural networks (ANN)
Certificate in Mechanics for Design
Machine Element Design (NP-0923MED)
This module aims to provide students to apply the theories and laws covered into practical engineering applications. The laboratory sessions will give students a good understanding of the practical aspects of stress analysis and machine systems. Major topics include deflection of beams, analysis of stability in columns, friction mechanisms such as power screws, belt drives, balancing of flywheels and shafts, and vibration analysis of mechanical systems.
Mechanical Design (NP-009713)
The module aims to provide students with the knowledge on how to design, analyse and select mechanical systems components used in machine and system design. Topics include selection of motor, coupling, gears, bearing and chain drive. Concept on dimension tolerance is also covered. Through the combination of lectures, tutorials assessments and project work, the module aims to prepare students to a level where they can undertake an engineering design problem in a methodical and professional manner.
Structural Strength Design (NP-0922SSD)
This module aims to provide the students with a foundational knowledge of strength of materials at a tertiary technologist level. Major topics include stress and strain and engineering problem required stress analysis and interpretational of practical design criteria.
Certificate in PV System Technology Elective
Electrical Circuit Analysis (NP-010018)
This module introduces students to the concepts and theorems which are needed in the field of electrical engineering technology. The topics include circuit analysis and network theorems, single-phase and three-phase system analysis, power measurement and power factor correction, the "a" operator and per unit system, harmonics, and transients. The module provides the foundation to equip students in analysing electrical circuits, applying the relevant theories and techniques to solve and troubleshoot circuit problems, and designing electrical systems.
PV Cell And Module (NP-0955PCM)
This module covers the basics from light to semiconductor and PV cell/module design and characterization. Topics include the solar energy, semiconductor and junctions, working principles of PV cell, factors that can affect the PV cell’s output, design considerations of PV cell/module, new cell and module technologies, general PV module failure modes and detection methods. The core IEC standards such as IEC61215/61730 and UL61730 PV modules will also be introduced. Students, work in group, to analyse specification and performance of solar PV modules available in the local market.
PV System Design & Integration (NP-0956PSDI)
This module delves into the journalistic writing process in the digital space. Students will learn how to gather facts and quotes through research and interviews, and how to structure their stories in a concise and compelling manner. They will also learn how to improve the discoverability of their stories by adopting best practices in Search Engine Optimisation (SEO) writing and leveraging popular social media platforms.
Certificate in Thermofluid & HVAC Elective
Fluid Mechanics (NP-010354)
The aim of this module is to provide students with an understanding of the fundamental principles of Fluid Mechanics. In this module, the fundamental principles of Fluid Mechanics are introduced under the following topics. These include pressure and pressure measurement, hydrostatic forces on surfaces submerged in fluids and buoyancy, energies of liquids in motion, losses of energy in pipelines, general principles of pumps and system characteristic, and flow measurement (pitot-static tube, venturi and orifice meters).

Laboratory experiments are included to reinforce the students' theoretical knowledge through visualisation and experimentation.
HVAC Design (NP-0953HVACD)
This module aims is to provide students the understand the basic principles of mechanical refrigeration and basic refrigeration equipment for commercial air-conditioning system, They will also learn how to analyse AHU cooling and heating processes by applying psychometric principals, calculation on the chiller efficiency and perform chiller sizing base on IPLV, NPLV and Singapore standards as well as determine ducting system characteristic curve and apply fan curve and affinity laws for fan sizing. Besides that, they will use the application of IAQ standards for the proper design of HVAC systems and appreciate fundamentals of HVAC control principals and methods.
Thermodynamics (NP-010355)
This module aims is to equip students with knowledge on thermodynamics, where the first chapter will be covered to explain the different forms of energy and various processes by which energy is transformed from one form to another. Thereafter, module will focus on applications of basic thermodynamic principles to actual engineering problems. Examples are petrol engines and diesel engines used in cars and trucks, gas turbines in aircrafts and steam turbines in electrical power generation plants.

Entry Requirements

Condition 1

Highest qualification

GCE ‘O’ Level grade:English Language (Grade 1-7)
and

Highest qualification

GCE ‘O’ Level grade:Mathematics (Grade 1-6)
and

Highest qualification

GCE ‘O’ Level grade:Science (Grade 1-6) And Working experience:At least 1 year of relevant work experience.
or

Condition 2

Highest qualification

NITEC with GPA >= 3.5
or

Condition 3

Highest qualification

NITEC with GPA >= 3.0 And Working experience:At least 1 year of relevant work experience.
or

Condition 4

Highest qualification

Higher NITEC with GPA >= 2.0
or

Condition 5

Highest qualification

Higher NITEC with GPA >= 1.5 And Working experience:At least 1 year of relevant work experience.
or

Condition 6

Highest qualification

NITEC in Technology with GPA >= 3.5 And Working experience:At least 1 year of relevant work experience.
or

Condition 7

Highest qualification

NITEC in Services with GPA >= 3.5 And Working experience:At least 1 year of relevant work experience.
or

Condition 8

Highest qualification

Higher NITEC in Technology with GPA >=2.0 And Working experience:At least 1 year of relevant work experience.
or

Condition 9

Highest qualification

Higher NITEC in Services with GPA >=2.0 And Working experience:At least 1 year of relevant work experience.
or

Condition 10

Highest qualification

Relevant Advanced WSQ Certificate (or higher) and Level 6 WSQ Workplace Literacy SOA and Workplace Numeracy SOA
and

Highest qualification

- And Working experience:At least 1 year of relevant work experience.
or

Condition 11

Working experience

Applicants with at least 2 years of relevant working experience may apply for the course

Financial matters

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

Description Certificate in Digitalisation & Project Management Certificate in Mechanics for Design Certificate in Engineering Design & Manufacturing Technologies Certificate in Automation & Control Certificate in Thermofluid & HVAC Certificate in PV System Technology Certificate in Machine Learning and Data Visualization Total course fee
Full Course fee $5,552.46 $5,552.46 $5,552.46 $5,552.46 $5,552.46 $5,552.46 $5,552.46 $38,867.22
PR Sponsored by SME $578.17 $578.17 $578.17 $578.17 $578.17 $578.17 $578.17 $4,047.19
Singapore Citizen Sponsored by SME $578.17 $578.17 $578.17 $578.17 $578.17 $578.17 $578.17 $4,047.19
Singapore Citizen Aged 40 & Above $578.17 $578.17 $578.17 $578.17 $578.17 $578.17 $578.17 $4,047.19
Singapore Citizen Aged Below 40 $832.87 $832.87 $832.87 $832.87 $832.87 $832.87 $832.87 $5,830.09
Singapore PR $2,220.98 $2,220.98 $2,220.98 $2,220.98 $2,220.98 $2,220.98 $2,220.98 $15,546.86
Long-Term Visit Pass Plus $5,552.46 $5,552.46 $5,552.46 $5,552.46 $5,552.46 $5,552.46 $5,552.46 $38,867.22

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);
Post-Secondary Education Account (Standing order form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).

Nett Supplementary Fees Payable

  • GPA Insurance Fee S$2.11,subject to GST,fees payable S$2.30 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)
  • Other Fees S$7.43,subject to GST,fees payable S$8.10 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)

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.

Course 
Schedule

Class Day(s): Mon, Tue & Fri
Time: 6:30pm - 10:00pm
Delivery mode: Face-to-face & Home-based learning (Async & Sync)
Registration Period
02 Jan 2025 - 15 Feb 2025
Course Date
21 Apr 2025 - 30 Sep 2027
Schedule Info
Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.
Mode of Training
Classroom
Venue
NGEE ANN POLYTECHNIC