The AI and Society programme is designed for forward-thinkers eager to shape the future of technology. This unique degree explores the intersection of AI and societal impact, focusing on responsible AI development and implementation. Students gain cutting-edge technical skills, ethical awareness, and hands-on experience through projects and internships. With an interdisciplinary approach, this programme equips future leaders to innovate, address global challenges, and drive meaningful change in an AI-powered world.
Admission Requirements
Qualifications | Selection Criteria |
GCE "A" Levels | H2 Level pass in Mathematics or H2 Physics or H2 Computing |
International Baccalaureate (IB) | Pass in HL Mathematics or Physics at Higher Level or Computer Science at Higher Level |
NUS High School Diploma | Major CAP of 2.0 in Mathematics or Major CAP of 2.0 in Physics |
International & Other Qualifications | Pass in Senior High School Level Mathematics or Physics at Senior High School Level or UK CIE A Level Computer Science is also accepted |
Diploma Holders | Above C6 in O-level Additional Mathematics and good grades for at least two Mathematics courses in polytechnic |
Programme Structure & Duration
The Bachelor of Computing (Hons) in AI and Society is a 4-year, full-time undergraduate programme.
TOTAL ACADEMIC UNITS (AUs): 131 | |||
Year of Study | Major Requirements (81 AUs) | Interdisciplinary Collaborative Core Requirement (32 AUs) | Broadening & Deepening Electives (18 AUs) |
YEAR 1 Acquire basic concepts in mathematics, computing fundamentals and AI potential for social good |
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YEAR 2 Delve deeper into the courses in the AI & responsible AI |
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YEAR 3 Further deepening in AI applications and practice of Responsible AI skills |
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YEAR 4 Flexible specialisation choices and a RAI project |
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Career Prospects
Graduates of this programme will be well-positioned to take on emerging responsible AI specialist roles in a rapidly expanding market and contribute effectively to many industries. They can take on traditional AI roles and, more importantly, are uniquely equipped to take on emerging Responsible AI roles.
- AI/ML Engineers
- AI Scientist
- AI Applied Researcher
- AI Policy Advisors
- Ethical AI Consultants
- Responsible AI Strategist
- AI Ethics Compliance Officer