Key Details at a Glance
The Bachelor of Science (Hons) in Data Science & Artificial Intelligence (DSAI) at NTU is a jointly offered programme by the College of Computing and Data Science (CCDS) and the School of Physical and Mathematical Sciences (SPMS). This 4-year direct honours degree provides rigorous training in statistics, computing, and AI, preparing students to design innovative, data-driven solutions for society’s most pressing challenges.
Open to students with strong foundations in Mathematics and Computing, the programme integrates:
Artificial Intelligence – from problem formulation and reinforcement learning to robotics, NLP, and intelligent agents
Data Science Fundamentals – data preparation, storage, modelling, analytics, and visualisation for real-world problem-solving
Data Analytics & Mining – advanced computational methods for extracting insights and solving large-scale data challenges
Applied Learning – hands-on projects, industry immersion, and exposure to ethics, policy, and responsible AI practices
Through this blend of computing, statistics, and applied AI, graduates develop the skills to extract meaningful insights from complex datasets, build intelligent systems, and drive innovation across industries such as healthcare, business, finance, and environmental sustainability.
Jointly offered by CCDS and SPMS, combining computing with strong mathematical foundations
Future-ready curriculum covering AI, data science, and advanced analytics
Hands-on projects and industry immersion across diverse sectors, from healthcare to sustainability
Responsible AI focus, with modules on ethics, policy, and data security
Opportunities to build intelligent systems, machine learning models, and data-driven solutions that address global challenges
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.
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 are in demand across technology, business, finance, policy, and research, with roles such as:
Machine Learning Engineer
Data scientist
Research Scientist
R&D Engineer
Business Intelligence Developer
Computer Vision Research Engineer
Data Analyst
Data Architect
AI Engineer
AI Scientist
Employers include leading global and regional companies such as Google, Microsoft, Grab, ByteDance, and government agencies.
