This programme lies in its potent interdisciplinary approach, which merges advanced training in data science and AI with a deep, holistic understanding of global sustainability, preparing graduates to use technology to solve pressing societal and environmental challenges. This collaboration between the College of Computing and Data Science (CCDS), the School of Physical and Mathematical Sciences (SPMS), and the Asian School of the Environment (ASE) ensures a strong mathematical foundation alongside the study of sustainability's interconnected pillars: People, Planet, Profit, Practice, and Policy. The curriculum emphasises responsible AI development, ethical considerations, and practical applications, enabling students to tackle real-world problems through hands-on projects and industry experiences. As a result, graduates are uniquely positioned to bridge the gap between technological innovation and sustainable practice, driving responsible and impactful change across various sectors.
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
👉 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.👉 Submit an Enquiry
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