Last Updated: 26 Jun 2025
Engineering Science
Course equips students who have a passion in Applied Science & Engineering with a strong STEM foundation. Students are also exposed to in-demand skills in AI or Data Analytics and an early immersion in university life with applied projects (industrial/R&D) at local universities. It prepares graduates for further studies.
Applicants with severe vision deficiency, colour vision deficiency, profound hearing deficiency, uncontrolled epilepsy and/or severe physical impairments may encounter difficulties meeting the course requirements and expectations. Interested applicants with any of these conditions are advised to contact Ngee Ann Polytechnic for more information.
Course details
| Field of study | Engineering |
| Track/Specialisation |
This course offers the following tracks or specialisation:
|
| Certification offered |
Diploma in Engineering Science |
Minimum entry requirement
You must meet the respective examination requirements in order for us to consider your application.
This course is under the Design, Engineering and Technology cluster
| Subject | Grade |
|---|---|
| English Language Syllabus A | 1-3 |
| Mathematics Syllabus A / Additional Mathematics | 1-3 |
|
Any one of the following subjects
|
1-3 |
|
Any 2 other subjects excluding CCA |
1-4 |
| Subject | Grade |
|---|---|
| English Language | 1-7 |
| Additional Mathematics or Mathematics | 1-6 |
|
Any one of the following subjects
|
1-6 |
Course modules
- Applied Mathematics 1 and 2
- AC Circuits
- Analogue Electronics
- Digital Fundamentals
- Electrical Engineering Fundamentals
- Fundamental Electronic & Electrical Skills
- Mechanical Engineering Fundamentals
- Programming
- Career & Engineering Professional Preparation
- Health & Wellness
- Innovation Made Possible
- Confident Communication: Find Your Voice
- English Language Express (for selected students)
- Applied Mathematics 3
- Physics 1 and 2
- Data Structures & Algorithms
- Object-Oriented Programming
- Thermofluids
- Materials & Manufacturing Technology
- System Modelling & Control
- Microcontroller & Interfacing
- Engineering & Sustainability
- World Issues: A Singapore Perspective
Modules for NUS Pathway Programme Electives
- NUS Pathway Programme Electives
- Artificial Intelligence & Machine Learning
- Project ID: Connecting The Dots
Modules for Industry Immersion Pathway
- Year-Long Internship I and II / Final Year Project I and II
- Project ID: Connecting The Dots
Common modules
- Artificial Intelligence & Machine Learning
- Final-Year Project or Internship
- Project ID: Connecting the Dots
Modules for Artificial Intelligence for Autonomous Systems specialisation
- Computer Vision & Deep Learning
- Autonomous Systems & Internet-of-Things
- Design Project in Artificial Intelligence
Modules for Data Analytics & Security specialisation
- Data Analytics & Cloud Fundamentals
- Data Security & Blockchain
- Design Project in Data Analytics
Internship
| Internship duration | 22 weeks to 52 weeks |
| Internship timeframe | Year 3 |
| Internship period | Mar to Aug or Sep to Feb OR Mar to Feb (for Year-Long internship) |
Career prospects
You can explore the following career options upon graduation:
- Assistant Product Engineer
- Assistant Integration Engineer
- Assistant Engineer
- Associate Engineer
- Associate Data Engineer
- AI ML Engineer
Use resources and interactive tools that are available on MySkillsFuture Portal to explore various education and career pathways.
How to register
You may register using the JAE Internet System (JAE-IS). Learn the process and how to apply.
You may apply through the respective polytechnics’ websites. Learn the process and how to apply.
You may register using the Poly EAE Portal. Learn the process and how to apply.
You may register using the PFPAE Portal. Learn the process and how to apply.