The Master of Science in Artificial Intelligence (MSAI) is a graduate degree focused on AI theory, methodologies, and applications. It is designed for professionals and graduates looking to enhance their expertise in AI. The program trains students to design, implement, and manage AI systems, while also addressing project management, policy, and ethical considerations. Core courses provide a strong foundation in machine learning, deep learning, mathematics for AI, and AI ethics. Students can further specialize through electives in areas like computer vision, natural language processing, robotics, IoT data, and generative AI. The program emphasizes hands-on learning through course projects, an AI Master Project, and internship opportunities, ensuring graduates are equipped with practical skills and research-informed insights. Graduates will be prepared for advanced roles in industry, government, and research, driving innovation in AI deployment, building intelligent systems, and promoting the responsible use of AI technologies.
The MSAI program is a coursework-based degree requiring 30 Academic Units (AUs). It includes 12 AUs of core courses and 18 AUs from a master project and elective courses. Each course is 3 AUs and comprises 39 contact hours over 13 weeks. A bridging course, Python Programming, is available for students with limited programming background and is not compulsory.
Graduates are prepared for advanced roles in AI across various sectors. The program aims to equip students with skills to lead innovations and manage AI technologies responsibly.
Meeting minimum requirements does not guarantee admission as selection is competitive. Relevant disciplines include bachelor's programs offered by the College of Engineering.
A non-refundable deposit of S$5,000 is payable upon acceptance. Tuition fees are billed in two semesters for full-time students. Additional fees may apply for longer candidature periods. An application fee of S$50 applies. Miscellaneous fees are billed annually. Costs for textbooks, travel, accommodation, and other expenses are borne by the student.
You need a good honours degree in computer science, computer engineering, or a related discipline with strong mathematical background. Alternatively, a bachelor's degree in a related field plus two years of relevant industry experience is accepted. Proof of English proficiency through TOEFL iBT (≥100) or IELTS (≥6.5) is also required, or certification of English as the medium of instruction.
The tuition fee for AY2025/26 and onwards is S$63,220 per year, inclusive of 9% GST. This fee is based on the shortest candidature period. A non-refundable deposit of S$5,000 is payable upon acceptance, and an application fee of S$50 applies.
The programme is designed for one year of full-time study. It requires the completion of 30 Academic Units (AUs).
Graduates are prepared for advanced roles such as Machine Learning Engineer, Data Scientist, Business Intelligence Developer, Research Scientist, and Big Data Engineer/Architect. The program equips students to lead AI innovation and manage AI technologies responsibly.
You need to complete the online application through the NTU admissions portal, upload required documents such as academic certificates, transcripts, CV, and English proficiency proof, and then submit the application.
The Singapore Digital (SG:D) Scholarship is mentioned, offered by the Infocomm Media Development Authority (IMDA) for Singapore Citizens. Information on other scholarships is not specified.