Master of Technology in Intelligent Systems
The NUS Master of Technology in Intelligent Systems (MTech IS) 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 IS programme emphasises the concepts, techniques and methods of Artificial Intelligence, and their application to the development of Intelligent Systems applications. The programme provides you with the essential knowledge and practical experience needed to become an Artificial Intelligence and Intelligent Systems specialist, and prepares you to be able to lead the development of Intelligent Systems in providing effective and optimal business solutions for your organisation.
Intakes
- Nov
Application Processing Time in Days: 30
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
- Artificial Intelligence Specialist
- Machine Learning Specialist
- Intelligent Systems Specialist
- Robotic Systems Developers
- Autonomous Vehicle Systems Developers
- Vision and Sensing Systems Developers
- A.I. Business System Developers
- Intelligent Process Automation Developers
- Intelligent Healthcare System Developers
- Smart City Applications Developers
- Language System Engineers
- Text Mining / Analytics Specialist
- Big Data Developers
- Games Developers
PSW Opportunity
- The International Students studying in certain institutions in Singapore are allowed to work part time for 16 hours per week as mentioned on the Ministry of Manpower website of Singapore.
- Students who have studied in the institutions mentioned on the Ministry of Manpower website of Singapore are allowed to apply for a Long Term Visitor Pass.
- They are allowed to look for a job during this time period.This is for 12 months.If the students get a job during this time period, the employer may sponsor for an Employment pass.
Admission Requirement / Eligibility Criteria
- 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)*
- An acceptable GRE score (overseas applicants) or pass NUS-ISS Entrance Test
- Have received a favourable assessment at admissions interview conducted by NUS-ISS
- Preferably two years of relevant working experience
- The NUS-ISS Entrance Test or GRE and interview requirements will be waived for applicants with relevant Bachelor's degrees from NUS, NTU, SMU and SUTD with Second Upper or above Honours.
- NUS-ISS Graduate Diploma in Systems Analysis alumni who wishes to apply to NUS-ISS Master of Technology programmes may be waived of Entrance Test/GRE and interview requirement if they meet the GPA's requirements*
- Admission is on competitive basis; eligible students will be offered admisions on a first-come first-served basis.
- English Language Requirements
GRE / NUS-ISS Entrance Test:
- International applicants residing overseas are required to submit GRE as evidence to demonstrate their academic capability:
- A minimum GRE score of 320 (verbal & quantitative) and 3.5 (analytical) is recommended, within 5 years validity. (GRE institution code: 0677)
- Applicants who have significant work experience relevant to their intended area of study may be considered for admission even if they do not meet the recommended GRE scores. Please note that school projects, internships and enrichment programmes do not count as work experience.
- Applicants residing in Singapore will be required to pass an Entrance Test administered face-to-face in NUS-ISS
- Local applicants may opt to submit GREs instead of taking the Entrance Test in which case the same conditions apply as above.
- A sample entrance test can be found here.
Work 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
- Applicants with highly relevant IT degrees, with consistently good academic records and good practical software development knowledge gained either through course work, course projects or professional IT certifications, may be granted a work experience waiver
For More Information Please Contact To Our Counselor.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
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Total Tuition Fee:
53200 SGD
Average Cost of Living: 10400 SGD /year
Application Fee: 100 SGD
Direct Representation
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