NTU College of Computing and Data Science

Computing Education for an AI-Shaped World

Understanding computing systems. Exercising judgement. Building reliably & responsibly.

CSRankings · 2026
Computer Science
1 st Singapore
Shanghai Rankings · 2025
Artificial Intelligence
1 st World
US News & World Report · 2025
Artificial Intelligence
2 nd World
1 st Singapore
Computer Science
2 nd World
1 st Singapore
QS World Rankings · 2025
Data Science & AI
5 th World
1 st Asia
Computer Science & IS
6 th World

3,000+

Undergraduate students

1,000+

Graduate students

16

Undergraduate programmes

1 in 3

Undergraduate students with overseas experience

From the Dean
Why Study computing at CCDS?
Artificial intelligence is transforming the technological landscape. At CCDS, our approach to computing education combines rigorous foundations with the ability to engage critically and responsibly with AI.
In this message, Dean Luke Ong shares how CCDS prepares students to lead in an AI-shaped world.
At NTU Open House 2026, CCDS Dean Prof Luke Ong addresses three questions about computing education and career prospects.
1. Why is it still valuable to study Computing/AI at University?
2. What is the job prospect of Computing/AI graduates?
3. Why study Computing/AI at NTU?
Our Approach to Learning
Learn with AI
AI is reshaping how software is built - and how computing must be taught. CCDS is redesigning education across all programmes under a clear framework, guided by three principles.
1
Human–AI Collaboration
AI is treated as augmented intelligence. Students learn to collaborate with AI tools - and to direct, critique, and verify what AI produces.
2
Students Must Own Their Thinking
AI can help students work faster. It cannot replace the intellectual work that builds mastery. Assessments ensure students remain accountable for their own understanding.
3
Meta-Skills for Adaptability
The AI landscape will keep evolving. CCDS places emphasis on "learning to learn" - structured reflection and responsible, declared use of AI tools.
Learn with AI, but think for yourself.
Read the full framework →
See how the framework is already being implemented across CCDS courses
Learning with AI: Strengthening Computing Education in an AI-Shaped World
Welcome to CCDS
Where Computing Meets Consequence
At CCDS, we educate computing professionals for a world where AI is not a novelty - it is infrastructure. Our programmes are built on strong foundations: rigorous mathematics, disciplined engineering, and the kind of systems thinking that does not go out of date.
We integrate AI deliberately into teaching and research, holding students accountable for understanding what they build - not just producing output. Graduates leave here ready to lead in technology, not just use it.
Dean's Open House Highlights
What computing education looks like in an AI-shaped world
About CCDS
An overview of the College of Computing and Data Science
Prospective Undergraduate Students
Education at CCDS
At the College of Computing and Data Science, we educate students with strong foundations in computing and data science, integrating artificial intelligence across the curriculum and grounding learning in real-world practice and problem-solving.
Undergraduate Education
Build breadth and depth through rigorous programmes, flexible pathways, and distinctive experiences such as the Turing AI Scholars Programme.
Explore undergraduate education →
Graduate Education
Deepen expertise and specialise through advanced programmes designed for complex problem-solving and applied impact.
Explore graduate education →
Continuing Education & Training
Upskill and reskill through flexible learning options for working professionals in computing, data science, and AI.
Explore continuing education & training →
Research at CCDS
Research at CCDS spans foundational and applied areas in computing, data science, and artificial intelligence, addressing complex challenges across domains and industries.
Key research strengths include artificial intelligence and machine learning, data science and analytics, and core computing systems and security.
Discover research →
Stories from CCDS
From student journeys to research breakthroughs, these stories reflect how education and research at CCDS translate into real-world impact.
Events at CCDS
Talks, seminars, workshops, and conferences.
Stay up to date with the events shaping CCDS. Discover upcoming opportunities to learn, connect, and engage with the ideas and people driving computing and data science forward.
Conferences & Seminars

Non‑Myopic Neuro‑Symbolic AI for Smart Infrastructure by Prof Abhishek Dubey

20 Mar 2026 11.00 AM - 12.00 PM LT 9
Conferences & Seminars

Understanding and Shaping the Behaviour of Generative AI for Reliable Deployment by Dr Francesco Quinzan

18 Mar 2026 02.00 PM - 03.00 PM LT 11
Conferences & Seminars

Data‑Centric AI: Foundations for Autonomous AI Scientific Systems by Mr Gregory Lau

13 Mar 2026 02.30 PM - 03.30 PM LT28
Conferences & Seminars

Causally Aligned Active Learning by Prof Dino Sejdinovic

13 Mar 2026 01.00 PM - 02.00 PM LT3