Degree: Bachelor of Computing (Hons) in Artificial Intelligence & Society
Duration: 4 years, direct honours
College: College of Computing and Data Science (CCDS)
Admissions: Strong foundation in Mathematics or Physics of Computing
Careers: Software Engineer, Data Scientist, AI Specialist, Cybersecurity Engineer, Policy Analyst
The Bachelor of Computing (Hons) in Artificial Intelligence & Society (AISC) at NTU’s College of Computing and Data Science (CCDS) is a 4-year direct honours degree for students with strong foundations in Mathematics or Physics who aspire to connect technology with its wider societal impact.
The programme combines computing, data, and systems thinking with interdisciplinary learning, preparing graduates to apply AI responsibly across technology, business, government, and society.
AISC provides students with:
An interdisciplinary curriculum that links computing with real-world applications
Integration of computing with business, society, and global perspectives
Opportunities for internships, industry projects, and overseas exposure
The advantage of NTU’s global reputation, ensuring strong recognition of the degree
Through this distinctive mix of technical depth and societal insight, AISC graduates are equipped to bridge technology and society, shaping policies, innovations, and solutions that advance responsible AI adoption worldwide.
Responsible AI focus – Build solid computing foundations and advanced AI engineering skills while learning to design, develop, and deploy responsible AI systems across the full AI lifecycle.
Societal impact lens – Gain awareness of the societal risks of AI and how they can be identified, mitigated, and addressed in real-world contexts.
Hands-on learning – Apply knowledge through a group design project, a 20-week industry internship, and a Responsible AI (RAI) capstone project tackling real social or industrial challenges.
Essential modules in AI & society –
AI for Social Good → explore AI use cases aligned with all 17 UN Sustainable Development Goals.
Ethical AI → examine risks, regulations (e.g. PDPA, Model AI Governance), and tools like AI Verify for responsible system design.
AI for Society → study emerging AI applications (healthcare, fintech, etc.) and issues such as misinformation, IP/copyright, and governance.
Customisable learning path – Choose from a wide range of electives, balancing technical AI modules with society-focused courses, ensuring breadth and depth in both computing and social domains.
Applicants must meet NTU’s undergraduate admissions criteria, which include:
Good academic results in GCE ‘A’ Levels, IB Diploma, NUS High School Diploma, or Polytechnic Diploma (or equivalent)
A strong foundation in Mathematics or Physics or Computing
👉 View the NTU Admissions Guide for the full list of accepted qualifications.
Students with relevant qualifications may be eligible for course exemptions.
👉View the Course Exemption Website for details.
Programmes are structured as full-time, 4-year direct honours degrees.
Students undertake core modules, electives, interdisciplinary courses, and capstone projects.
The curriculum includes core computing modules, electives, and interdisciplinary opportunities. It balances theory with applied practice to prepare graduates for diverse careers.
👉 View the Curriculum Structure.
Graduates of the Artificial Intelligence & Society (AISC) programme are equipped to work at the intersection of AI, data, and society, taking on roles such as:
AI/ML Engineers
AI Scientist
AI Applied Researcher
AI Policy Advisors
Ethical AI Consultants
Responsible AI Strategist
AI Ethics Compliance Officer
Employers include leading global and regional companies such as Google, Microsoft, Grab, ByteDance, and government agencies.
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