Overview
The Artificial Intelligence Systems program from National University of Singapore - Institute of Systems Science 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.
The NUS Master of Technology in Artificial Intelligence Systems (MTech AIS) 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. 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.
Learning outcomes:
- Apply Intelligent Systems concepts, techniques and methods to solve varied problems across multiple domains including: business, manufacturing, engineering, healthcare etc.
- Lead the development of Intelligent Systems using contemporary tools and techniques, including Artificial Intelligence, Machine Learning, Prediction, Forecasting, Classification, Clustering and Optimisation
- Design and customise algorithms to solve complex business problems and create strategic advantage
Career Pathways
Find your fit with new opened doorsThere is opportunity in Singapore for most areas of IT. What you learn in terms of IT skills is not as important as what you do with it. It is the attitude and the ability to learn from mistakes, and to contribute back to the company that you work for that is likely to make more of a difference than specific IT skills. There are two main paths for advancement in IT - either technical or management. Technical means you continue to deepen your technical area in a domain (such as system architecture, or software engineering, etc.) and you become an expert in those areas. The other is management, where you can focus on project management, outsourcing, etc.Our internship companies often tell us that if we can give them good students as interns, it is very likely they will get a job offer at the end of the internship.
Post-Study Stay-Back Option Available
As a graduate of our Master's program, you'll be eligible for the Long-Term Visit Pass (LTVP) scheme, allowing you to stay in Singapore for up to 1 year Use your post-study stay in Singapore to launch your career with top multinational companies, network with industry leaders and innovators, and explore entrepreneurship opportunities.Work While You Study
Maximize your Singapore experience! As an international student, you're eligible to work part-time for up to 16 hours a week. Gain valuable work experience, build your network, and offset living expenses. Our Master's programs equip you with cutting-edge knowledge, and Singapore's dynamic landscape provides the perfect launchpad. Take advantage of this exclusive post-study stay-back option and transform your career aspirations into reality.Programme Structure
Courses include:
- Machine Reasoning
- Cognitive Systems
- Reasoning Systems
- Problem Solving using Pattern Recognition
- Intelligent Sensing and Sense Making
- Pattern Recognition and Machine Learning Systems
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before
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- Aug (Full-Time)
Language
Delivered
Campus Location
- Singapore, Singapore
Disciplines
Artificial Intelligence Machine Learning View 3 other Masters in Machine Learning in SingaporeWhat students do after studying
Academic requirements
Either GRE or Entrance Test: please contact: isslearn@nus.edu.sg
A minimum GRE score of 320 (verbal & quantitative reasoning) and 3.5 (analytical) is recommended, within 5 years validity. (GRE institution code: 0677)
English requirements
Other requirements
General requirements
- 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.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at National University of Singapore, NUS-ISS and/or in Singapore, please visit Student Insurance Portal.
Tuition Fees
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International Applies to you
Applies to youNon-residents53600 SGD / year≈ 53600 SGD / year -
Domestic Applies to you
Applies to youCitizens or residents53600 SGD / year≈ 53600 SGD / year
Additional Details
- S$53,600 to S$55,000
Living costs
Singapore
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Master of Technology in Artificial Intelligence Systems.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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