NUS Master of Technology in Artificial Intelligence Systems
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Talk to ExpertNUS Master of Technology in Artificial Intelligence Systems at NUS-ISS Overview
International students can pursue NUS Master of Technology in Artificial Intelligence Systems at PG level at National University of Singapore, NUS-ISS. The duration of the course at the university is 1 year. The course is among the top-ranked courses in the International students must meet the entry requirements such as complete academic qualification, a valid test score in exams such as IELTS, TOEFL and GRE to be eligible for the course. The University fees for international students for NUS Master of Technology in Artificial Intelligence Systems is around SGD 58,642 (INR 4,419,261) for first-year. Students must manage additional costs such as:
- Rent
- Hostel fees
- Food, books
- Supplies
- Utilities, etc.
Duration | 1 year |
Tuition & Fees | ₹44.36 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
NUS Master of Technology in Artificial Intelligence Systems at NUS-ISS Fees
For enrolling at the National University of Singapore, NUS-ISS, for NUS Master of Technology in Artificial Intelligence Systems, students must pay the tuition and living cost. Moreover, the National University of Singapore, NUS-ISS NUS Master of Technology in Artificial Intelligence Systems fee structure can vary from domestic to international students.
International students must pay the SGD 58,642 (INR 4,419,261) for the first year. Along with this, they must be ready for other costs of living such housing, food, transportation, books and supplies, and other miscellaneous expenses. The average National University of Singapore, NUS-ISS cost of living for international students is SGD 9,590 (INR 722,702). Check out National University of Singapore, NUS-ISS NUS Master of Technology in Artificial Intelligence Systems on the fee breakup, from the table mentioned below.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 44,35,759 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 7,25,400 |
| Personal expense | INR 2,26,924 |
Calculated at the exchange rate of 1 SGD = INR 75.641335 | Tuition & expenses were last updated on 20ᵗʰ August 2026NUS Master of Technology in Artificial Intelligence Systems at NUS-ISS Curriculum
Students can click on the green button below to access and download the curriculum of the National University of Singapore, NUS-ISS NUS Master of Technology in Artificial Intelligence Systems. The PDF of the curriculum includes the main subjects taught by the university, the electives offered and additional course materials. The division of the NUS Master of Technology in Artificial Intelligence Systems into semesters has also been included.
Download exam sample paper
NUS Master of Technology in Artificial Intelligence Systems at NUS-ISS Entry Requirements
- No specific cutoff mentioned
- 55%
- Bachelor's degree preferably in Science or Engineering and a grade point average of at least B
- Demonstrate proficiency in the English Language (written and spoken)
Calculate your score and check your eligibility at over 2000+ universities.
- Marks - 85/120
-
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- Marks - 6/9
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- Marks - 320/340
- A minimum GRE score of 320 (verbal & quantitative) and 3.5 (analytical) is recommended
- Minimum: 24 months
- Students must have two years of relevant working experience as an IT professional, such as software developer, business analyst, or as a domain expert, working in an area where Intelligent Systems and Artificial Intelligence can be applied.
- Students should Have received a favourable assessment at admissions interview conducted by NUS-ISS.
- Admission is on competitive basis; eligible students will be offered admisions on a first-come first-served basis.
- Not mentioned
NUS Master of Technology in Artificial Intelligence Systems at NUS-ISS Application Process
- CV is required
- Scanned copy of identity card (colour – front and back) OR passport (for
international students) - Degree certificate(s)/scroll(s) OR Student Status letter stating the expected date of
completion of programme - Official updated transcript of academic records/ consolidated and semesters’ mark
sheet from each University, Polytechnic or College attended - Graduate Record Examinations (GRE) Test Scores (for students based overseas)
- TOEFL/ IELTS score report OR letter stating medium of instruction (for students
based overseas)
- A copy of Employment Pass (for international applicants working in Singapore)
- Professional certificates (optional)
- Testimonials from the employer (where relevant)
NUS Master of Technology in Artificial Intelligence Systems at NUS-ISS Placements
| Particulars | Statistics (2026) |
|---|---|
| Internship Available | Yes, A central element of the MTech programme is the capstone project Student projects for MTech AIS students extend over a period of five months for full-time students and one year for part-time students. A central element of the MTech programme is the capstone project Student projects for MTech AIS students extend over a period of five months for full-time students and one year for part-time students. Full-time students are allowed to conduct their project as a team-based internship if desired. The expected commitment for the project is 30 man-days per team member. |
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NUS Master of Technology in Artificial Intelligence Systems at NUS-ISS Highlights
- This programme is targeted at working professionals who wish to be able to design and build systems that utilise Artificial Intelligence and other Smart Systems techniques.
- Application areas are wide and diverse, and include robotics, autonomous vehicles, intelligent sensing systems, Internet of Things, Smart City applications and Industry 4.0 applications, as well as applications within business and commerce.
- The MTech AIS programme emphasises the concepts, techniques and methods of Artificial Intelligence, and their application to the development of Intelligent Systems applications.
- Students Lead the development of Intelligent Systems using contemporary tools and techniques, including Artificial Intelligence, Machine Learning, Prediction, Forecasting, Classification, Clustering and Optimisation.
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