NTU College of Computing and Data Science
Graduate Education at CCDS
Advanced learning, professional specialisation, and original research in computing and data science.
New Programme
Featured Programme

MSc in Cybersecurity (Applied Cybersecurity)

Secure today's systems. Protect tomorrow's digital world.

Designed for both aspiring and experienced cybersecurity professionals, combining rigorous academic foundations with contemporary industry practice. Available in full-time and part-time modes.

Join our lunchtime information session on Mon, 6 July at 12.30 pm.

Programme Highlights
Mode of Study
Full-time & Part-time
Capstone
Industry Internship or Applied Project
Focus
AI & Cybersecurity
Graduate Education at CCDS

Advanced Learning for an AI-Enabled World

Graduate education at the College of Computing and Data Science (CCDS) is designed for depth, rigour, and impact in an AI-enabled world. Our graduate programmes support advanced learning, professional specialisation, and original research across computing and data science, grounded in strong fundamentals and a clear understanding of how AI shapes modern problem-solving.

Whether through structured coursework or research-led pathways, CCDS graduate education prepares learners to deepen expertise, engage critically with emerging technologies, and contribute meaningfully to industry, research, and society.

Master's by Coursework

Structured Learning. Applied Expertise.

Designed for professionals and graduates seeking advanced, applied expertise, CCDS Master's by Coursework programmes offer structured learning pathways that combine disciplinary depth with practice-based application.

Students deepen their technical capabilities while developing judgement, adaptability, and confidence to operate in complex, evolving environments.

New
Cybersecurity

Master of Science in Cybersecurity (Applied Cybersecurity)

Build in-demand expertise across cybersecurity, from secure systems and digital forensics to threat intelligence and AI-enabled defence.

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Applied AI

Master of Computing in Applied AI (MCAAI)

Apply AI confidently and responsibly to solve real-world challenges across industries, organisations and society.

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Artificial Intelligence

Master of Science in Artificial Intelligence (MSAI)

Develop advanced expertise in AI and machine learning to design, build and deploy intelligent systems.

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Data Science

Master of Science in Data Science (MSDS)

Transform data into insights through advanced analytics, machine learning and data-driven decision making.

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Blockchain

Master of Science in Blockchain

Understand blockchain technologies and their applications across finance, digital assets and emerging industries.

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Research Pathway

Inquiry, Exploration, Research Depth.

The research pathway is suited for students motivated by inquiry, exploration, and research depth. Working closely with faculty supervisors, students undertake focused research projects that develop strong analytical thinking, research skills, and disciplinary expertise.

This pathway is appropriate for those considering research-intensive careers or progression to doctoral and post-doctoral studies.

By Research

Master of Engineering (MEng)

Pursue independent research under faculty supervision and contribute new knowledge in computing and data science.

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By Research

Doctor of Philosophy (PhD)

Conduct original research that advances computing and data science while developing expertise as an independent researcher.

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Admissions

Learn about application requirements, timelines, and entry criteria for graduate programmes at CCDS.

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