Master of Science in Artificial Intelligence (MSAI)

at Nanyang Technological University

Core Courses

• Introduction to AI and AI Ethics
• Machine Learning: Methodologies and Applications
• Deep Learning and Applications
• Mathematics for AI

Bridging Course

• Python Programming

Elective Courses
Computer Vision
Text Data Management and Processing
Time Series Analysis
Neuro Evolution and Fuzzy Intelligence
Multi-Agent System
Advanced Computer Vision
Deep Neural Networks for Natural Language Processing
Urban Computing
AI Master Project

*Note: Not all courses listed in the curriculum will be offered in a semester.
Courses offered are subject to availability of instructors and resources.

A) A good honours degree in computer science, computer engineering or a related discipline with solid mathematical training

or

B) a good bachelor's degree in computer science, computer engineering or a related discipline with solid mathematical training and 2 years relevant industry experience

and

Minimum TOEFL score (Internet-based = 100, paper-based = 600, computer-based=250) or IELTS score (6.5) for graduates of universities in which English is not the medium of instruction.

Related disciplines include but not limited to bachelor's programmes offered by the College of Engineering, Nanyang Technological University, Singapore. 

Fees (inclusive of GST)

All fees listed below are in Singapore dollars (S$). Fees are subject to revision on a yearly basis.

MSc in Artificial Intelligence is a self-financing programme. Students of this programme are not eligible for Service Obligation.

• Programme Fee (Singapore Citizens)    39,000
• Programme Fee(Singapore Permanent Residents)    46,500
• Programme Fee (International Students)    58,000

For successful applicants , please click here to pay the Acceptance Deposit of $5000 (non-refundable & non-transferrable).

Payment (Alumni/Public) – select MSc AI Acceptance Deposit. Indicate application number and full name.  Programme code is 244 for MSc AI.   
 

Top 5 Careers in Artificial Intelligence

• Machine Learning Engineer
• Data Scientist
• Business Intelligence Developer
• Research Scientist
• Big Data Engineer/Architect