Nanyang Technological University (NTU)
Master of Science in Artificial Intelligence (MSAI)
50, Singapore
MSc
DURATION
12 months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Aug 2026
TUITION FEES
SGD 63,220
STUDY FORMAT
On-Campus
The Master of Science in Artificial Intelligence (MSAI) at NTU’s College of Computing and Data Science (CCDS) is a coursework-based graduate degree designed for professionals and graduates who want to deepen their expertise in AI theory, methodologies, and applications. The programme trains students to design, implement, and manage AI systems while also cultivating the skills to address project management, policy, and ethical considerations.
Students gain a strong foundation through core courses in machine learning, deep learning, mathematics for AI, and AI ethics, and may further specialise with electives across diverse domains such as computer vision, natural language processing, robotics, IoT data, and generative AI. Hands-on learning is embedded throughout the programme via course projects, an AI Master Project, and internship opportunities, ensuring graduates are equipped with practical skills and research-informed insights.
Graduates of the MSAI programme will be prepared to take on advanced roles in industry, government, and research, leading innovations in AI deployment, building intelligent systems, and shaping the responsible use of AI technologies in Singapore and globally.
Top 5 Careers in Artificial Intelligence
- Machine Learning Engineer
- Data Scientist
- Business Intelligence Developer
- Research Scientist
- Big Data Engineer/Architect
MSAI programme is an intensive one-year full-time (or 2-year part-time) programme by coursework. Students will be awarded the Master of Science in Artificial Intelligence after completion of study. The minimum and maximum periods of candidature for full-time candidates are 12 and 30 months respectively.
For part-time candidates, they are 24 and 48 months respectively. The programme consists of a total of 30 Academic Units (AUs), with 12 AUs stemming from core courses and 18 AUs from master project and elective courses, covering general AI techniques and techniques especially for image, video, IOT and time series data. Each course is 3 AUs and has 39 contact hours consisting of lectures, tutorials, example classes and labs over 13 weeks.
The master project of AI is a one-year project with 6 AUs. The master project is not a compulsory component. The bridging course, Python Programming, with zero AU is for students who have graduated from bachelor programmes with limited programming training and working adults who do not usually write codes. All students can take the bridging course in their first semester. It is not a compulsory course.