Last Updated: 24 Feb 2026
Data Science
Equip yourself with the foundational skills and knowledge of data science, focussing on core concepts in data analytics, data engineering, machine learning and intelligent enterprise systems. You will also get the opportunity to work on industry-led data science capstone projects, where you will experience the implementation of a real-life data science solution from start to the end.
Applicants with severe vision deficiency may encounter difficulties meeting the course requirements and expectations. Interested applicants with this condition are advised to contact Ngee Ann Polytechnic for more information.
Course details
| Field of study | Information and Digital Technologies |
| Certification offered | Diploma in Data 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 2nd group of Relevant Subjects for the ELR2B2-C Aggregate Type
| 1-6 |
Course modules
- Computing Mathematics
- Cyber Security Fundamentals
- Data Science Fundamentals
- Legal and Compliance Technologies
- Fundamentals for IT Professionals I
- Programming I and II
- Databases
- Data Discovery and Visualisation
- Mathematics for Data Science
- Innovation Made Possible
- Health and Wellness
- Confident Communication: Find Your Voice
- English Language Express (for selected students only)
- Intelligent Enterprise Systems
- Machine Learning I
- Data Wrangling
- Fundamentals for IT Professionals II
- World Issues: A Singapore Perspective
- Elective Module 1
- Agile DataOps
- Machine Learning II
- Fundamentals for IT Professionals III
- Emergine Trend in Data Science
- Elective Module 2
- Elective Module 3
- Data Science Capstone Project or Elective Modules 4 and 5
- Elective Modules 6 and 7
- Project ID: Connecting the Dots
- Internship I & II
Generative AI
- Deep Learning
- Generative AI Tools & Techniques
- Generative AI Solutioning
Data Engineering
- Distributed Data Pipelines
- Data Virtualisation
- Data Lake and Data Warehouse
General
- Capstone Project
- Internship II
- Cloud Databases
- Mobile Applications Development
- Cloud Architecture and Technologies
- Blockchain
- Modern Artificial Intelligence
- Artificial Intelligence Concepts and Techniques
- Reinforcement Learning
- Digital Transformation
- Machine & Deep Learning Applications for Cybersecurity
- AI Tools & Techniques for Cybersecurity
- Emerging AI Trends in Cybersecurity
- Designing User Experience
- Customer Experience Management
- Infocomm Sales and Marketing Strategies
- Financial Ecosystem
Internship
| Internship duration | 20 weeks |
| Internship timeframe | Year 3 |
| Internship period | Sep to Feb or Mar to Mar (1-year) |
Career prospects
You can explore the following career options upon graduation:
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 JPAE Portal. 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.