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Master of Technology in Artificial Intelligence Systems

Overview


Next Intake Aug 2025 (Full-Time) | Jan 2026 (Part-Time)
Duration
  • Full-time 1 year (2 semesters)
  • Part-time 2 years (4 semesters)
Application Timeline Admissions into the MTech programme is competitive. Eligible students will be offered admissions on a first-come first-served basis.

Applications for August 2025 admissions into the full-time MTech AIS programme should be submitted before 15 April 2025.

Applications for January 2026 admissions into the part-time MTech AIS programme will commence from 1st March 2025 and should be submitted before 1 October 2025.

*The dates above are subjected to changes. 
Entrance Test / GRE Face-to-Face: 17 April 2025 [FINAL Entrance Test for Aug 25]

    
*Applicants based in Singapore are to take the entrance test in NUS-ISS. Applicants based overseas are required to submit their GRE scores in place of the Entrance Test. Please refer to the section "Admission & Application" for further details. 

The dates above are subjected to changes. 
Download Brochure English
Info-session Click here for dates
e-Consultation  Register at https://bit.ly/2ZNEqaN
Enquiry iss-admissions@nus.edu.sg 


The NUS Master of Technology in Artificial Intelligence Systems (MTech AIS) (formerly known as MTech in Intelligent Systems) is a practice-based programme tailored for professionals seeking to design and develop systems that leverage Artificial Intelligence and cutting-edge technologies. This versatile programme covers a wide range of applications, including enterprise LLMS, chatbots, robotics, autonomous vehicles, intelligent sensing systems, the Internet of Things, Smart City projects, Industry 4.0, all the while ensuring business impact through AI system delivery.

Focusing on the core concepts, techniques, and methods of Artificial Intelligence (including Generative AI where applicable), the MTech AIS programme teaches you how to apply these principles to create sophisticated Artificial Intelligence Systems. You will gain both the theoretical knowledge and practical skills necessary to excel as an AI Systems specialist. Additionally, the programme prepares you to lead the development of AI Systems, enabling you to deliver effective and innovative business solutions for your organisation.

The curriculum is designed to keep pace with the rapid advancements in AI technologies, including deep learning, large language models (LLMs), transformers, diffusion models, etc. With a strong emphasis on real-world applications, the programme includes hands-on projects and collaborations with industry experts, providing you with valuable experience and networking opportunities.

Learning outcomes:

  • Apply Artificial Intelligence Systems concepts, techniques, and methods to solve diverse problems across multiple domains, including business, manufacturing, engineering, and healthcare, utilising the latest advancements in technology.
  • Lead the development of Artificial Intelligence Systems using state-of-the-art tools and techniques, such as Machine Learning, Deep Learning, Large Language Models (LLMs), Generative AI, Prediction, Forecasting, Classification, Clustering and Optimisation.
  • Design and customise sophisticated algorithms to address complex business challenges, enhance operational efficiency, and create strategic advantages.

Recognition:

  • Top student is awarded the SPH Medal and Prize
  • Best Project Prize

Scholarships:

  • IMDA Post Graduate Scholarship: 

    The SG Digital Scholarship (Postgraduate) is an industry scholarship that empowers students pursuing tech or media-related studies at the Masters or PhD level. Individuals pursuing postgraduate studies in specialised tech or media-related areas such as Artificial Intelligence, Quantum Technologies, Immersive Media, and Film Studies can chart their future with this scholarship. Scholarship details and eligibility criteria can be found here.
  • OCBC AI Scholarship

    The Master of Technology in Artificial Intelligence Systems (MTech AIS) programme is also eligible for the OCBC AI Scholarship. This scholarship provides full sponsorship of tuition, living, book, conference and miscellaneous fees allowance to students of any nationality enrolled in full-time postgraduate degrees in AI within selected tertiary institutions in Singapore. More details here.

SkillsFuture Level-Up Programme:

Singaporeans aged 40 and above can receive a SkillsFuture Credit enhanced subsidy top-up of $4,000 through the SkillsFuture Level-Up Programme. The subsidy can be used to offset the course fees. 
For more information on this programme, please write into us at ask-iss@nus.edu.sg.

Courses

MTech AIS candidates must successfully complete the following course components to be awarded the degree:

  • Fundamental Courses - Complete 2 Graduate Certificates
  • Specialist Courses - Complete 2 of 4 Graduate Certificates

Fundamental Courses

Specialist Courses



Learning Journey

 

Fundamental
(Complete 2 Graduate Certificates)
Specialist
(Complete 2 of 4 Graduate Certificates)

Capstone Project & Internships

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.

Objectives

  • Acquire hands-on experience in defining and analysing the knowledge and data requirements of real-world business problems
  • Plan and strategise high-value intelligent systems projects to provide identifiable benefits to the internship company
  • Design, develop and implement Intelligent Systems through the effective use of Artificial Intelligence and Knowledge Engineering tools and techniques

Learning outcomes:

  • Conduct requirements analysis using a structured approach
  • Produce high-quality intelligent systems following industry best practices and methodologies
  • Proficient in the use of knowledge and data engineering tools and techniques to deliver optimal business value
Read more on Internships & Placement

Timetable & Exams

Timetable & Exams for Full-time Students

Year

Curriculum

Assessment

Year 1

Semester 1 (Jul - Nov)

ISY5001: Intelligent Reasoning Systems (compulsory)

  • Machine Reasoning
  • Reasoning Systems
  • Cognitive Systems


ISY5002: Pattern Recognition Systems (compulsory)

  • Problem Solving using Pattern Recognition
  • Intelligent Sensing and Sense Making
  • Pattern Recognition and Machine Learning Systems
  • Continuous assessments
  • Open book written exams

Year 1

Semester 2

(Jan - Mar)

Choose ONE

  • Continuous assessments
  • Open book written exams

ISY5004: Intelligent Sensing Systems

  • Vision Systems
  • Spatial Reasoning from Sensor Data
  • Real Time Audio-Visual Sensing and Sense Making

 

ISY5003: Intelligent Robotic Systems

  • Robotic Systems
  • Autonomous Robots and Vehicles
  • Human-Robot System Engineering

Choose ONE

  • Continuous assessments
  • Open book written exams
EBA5004: Practical Language Processing
  • New Media and Sentiment Mining
  • Text Processing Using Machine Learning
  • Conversational UIs

 

EBA5008: Intelligent Financial Risk Management
  • Advanced Machine Learning for Financial Services
  • Explainable & Responsible AI for Finance
  • Credit Risk Modelling and Analytics
  • Alternative Data for Fintech Innovation

Year 1

Semester 2 (Mar - Jul/Aug)

Team-based Internship or Off-site Project

Hands-on project with external organisation

  • Project, presentation & report

Timetable & Exams for Part-time Students

Year

Curriculum

Assessment

Year 1

Semester 1 (Jan - May)

ISY5001: Intelligent Reasoning Systems (compulsory)

  • Machine Reasoning
  • Reasoning Systems
  • Cognitive Systems
  • Continuous assessments
  • Open book written exams

Year 1

 

Semester 2

(Jul-Nov)

ISY5002: Pattern Recognition Systems (compulsory)

 

  • Problem Solving using Pattern Recognition
  • Intelligent Sensing and Sense Making
  • Pattern Recognition and Machine Learning Systems

 

  • Continuous assessments
  • Open book written exams

Year 2

Semester 1 (Jan - May)

Choose ONE

  • Continuous assessments
  • Open book written exams

ISY5004: Intelligent Sensing Systems

  • Vision Systems
  • Spatial Reasoning from Sensor Data
  • Real Time Audio-Visual Sensing and Sense Making

 

ISY5003: Intelligent Robotic Systems

  • Robotic Systems
  • Autonomous Robots and Vehicles
  • Human-Robot System Engineering

Year 2

Semester 2 (Jul - Nov)

Choose ONE

  • Continuous assessments
  • Open book written exams

EBA5004: Practical Language Processing

  • New Media and Sentiment Mining
  • Text Processing Using Machine Learning
  • Conversational UIs
EBA5008: Intelligent Financial Risk Management
  • Advanced Machine Learning for Financial Services
  • Explainable & Responsible AI for Finance
  • Credit Risk Modelling and Analytics
  • Alternative Data for Fintech Innovation

Year 2

Semester 1-2 (Mar - Sep)

Team-based Internship or Off-site Project

Hands-on project with external organisation

  • Project, presentation & report

Students are evaluated through a combination of course work, project work and examinations. All students are required to complete a three-hour examination for each fundamental and specialist module taken.

Students who fail a module will be asked to withdraw. A minimum average grade across all examinations and practice assessments must be achieved to be awarded the degree.


Fees


Fees for AY2024/25 Semester 2 (January 2025) intake onwards
Fee Component Singapore Citizens/Singapore Permanent Residents International Students (Alumni) International Students (Non-Alumni)
Full Tuition Fees S$53,200 to S$55,000  S$53,200 to S$55,000 S$53,200 to S$55,000
NUS Enhanced Rebate S$21,280 to S$22,000 - -
NUS Alumni Rebate - S$10,640 to S$11,000 -
Nett Tuition Fees S$31,920 to S$33,000 S$42,560 to S$44,000   S$53,200 to S$55,000
9% GST on Nett Tuition Fees  S$2,872.80 to S$2,970 S$3,830.40 to S$3,960 S$4,788 to S$4,950
Total Nett Tuition Fees, including GST S$34,792.80 to S$35,970 S$46,390.40 to S$47,960 S$57,988 to S$59,950
  
Note:
  1. SkillsFuture Singapore (SSG) Tuition Fee subsidies may apply to selected courses, which may be offered to Singapore Citizens or Singapore Permanent Residents, subject to availability. No other subsidy shall apply concurrently. 
  2. NUS provides an enhanced rebate of 40% of the full tuition fees for Singapore Citizens and Singapore Permanent Residents. No other subsidy shall apply concurrently.
  3. NUS will provide incoming alumni with a 20% tuition fee rebate on selected Master's Degrees (Coursework) that are not under government subsidy.  No other subsidy shall apply concurrently.
  4. All Rebates are only for eligible self-paying students. 
  5. NUS-ISS will be collecting a non-refundable and non-transferable acceptance fee of S$3,000 (S$3,270 inclusive of 9% GST), which will be credited towards your tuition fees, upon acceptance of the offer. Starting from AY2025/26 Semester 1 (August 2025 intake onwards) the acceptance fee will be revised to S$5,000 (S$5,450 inclusive of 9% GST). 
  6. The exact tuition fees will be calculated based on the student’s selection of the Graduate Certificates
  7. The miscellaneous fees payable is set out here
  8. Individuals using credit/debit card and eWallet to make payment via NUSFastPay will have to pay a 1% processing fee.
  9. Please note that NUS-ISS reserves the right to change our Fees and Rebates without prior notice.

What Do Miscellaneous Fees Cover?

Miscellaneous fees are typically levied on items that are either not covered or partially covered by tuition fee and grant/subsidy. All students, whether registered on a full-time or part-time basis, are charged the mandatory miscellaneous fees. These are due at the same time as the tuition fees. These fees help defray the costs of student activity, health services and insurance, campus shuttle service and other services.

Any queries about fees and payment, please contact us at issfinance@nus.edu.sg.

Subsidies

Students can use the:-

SkillsFuture Level-Up Programme:

Singaporeans aged 40 and above can receive a SkillsFuture Credit enhanced subsidy top-up of $4,000 through the SkillsFuture Level-Up Programme. The subsidy can be used to offset the course fees.


 

Admission & Application

Admissions 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. 
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 (upon submission). 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

*English Language Proficiency

  • Applicants who graduated from universities where English is not the medium of instruction should submit TOEFL (Test of English as a Foreign Language) or IELTS (International English Language Testing System) score as evidence of their proficiency in the English language.
  • TOEFL

    Paper-based test (580)
    Computer-based test (237)
    Internet-based Test (85)
    *TOEFL iBT Home Edition is not accepted.

    IELTS

    Result of 6.0

    • Institution code of NUS-ISS for TOEFL is 2432
    • TOEFL and IELTS are only valid for two years after the test and the validity should not expire before the beginning of the application period for the coursework programme.
    • NUS only accepts TOEFL iBT scores from a single test date, not MyBest scores.

    How to Apply

    All applicants are required to submit an online application for our graduate coursework programme (through-train) through GDA3.

    Step 1:     You can refer to our detailed step-by-step guide on how to complete the online application.

    Step 2:     It will take you about 30 minutes or more to complete your application. You will need the softcopies of the supporting documents for your online application. Click here for the supporting documents to be uploaded and additional information required.

    Step 3:     You can proceed to apply online. Remember to upload all the required supporting documents under the “Documents Upload” section before you do the online submission. You can refer to our FAQ.

    Step 4:     Please ensure you submit your online application(s) and make online payment for the application fee (non-refundable) of S$50.00 per application (exclude prevailing GST).

     Important: 

    1. Applications that are incomplete, including missing supporting document(s), will not be processed till they are submitted.
    2. Applicants who are found to have given inaccurate or false information will be required to withdraw from the programme.
    3. All payments for application fee are non-refundable.
    4. Please note that the University has not engaged any external agencies to undertake student recruitment on its behalf. Candidates interested in our graduate programmes are advised to apply directly to the University and not through any agents. Candidates who apply through agents will not have any added advantage in gaining admission and the University reserves the right to reject such applications without giving reasons.

Career Pathways

Find your fit with new opened doors

There 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.

As an MTech AI Systems graduate, you will be trained to become an Artificial Intelligence and Knowledge Engineering and data analytics specialist, leading the development of Intelligent Systems to provide smart business solutions for organisations.

Career Prospects

  • 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

MTech alumni are pursuing their careers at these global organisations:

  • Accenture
  • Creative Technology
  • DBS Bank
  • Defence Science & Technology Agency
  • Deutsche Bank AG
  • Fuji Xerox Asia Pacific
  • HP Singapore
  • IBM Singapore
  • Infocomm Development Authority of Singapore
  • Inland Revenue Authority of Singapore
  • Jurong Port
  • Microsoft
  • Murex
  • NCS
  • NEC Asia Pacific
  • OCBC Bank
  • Revolution Analytics
  • Singapore Telecommunications
  • Standard Chartered Bank
  • Starhub
  • ST Electronics
  • Tata Consultancy Services

The NUS-ISS Career Services Office helps students to match jobs based on their skills and experience. There will be bi-yearly Career Fairs held for students and graduates to network with employers. However, successful employment will depend on the employers.

The average starting salary of an IT professional depends on the degree and your previous working experience. For fresh graduates with no work experience, the average salary starts from S$4,000 onwards. Graduates with more than 3 years of work experience can expect a starting pay of S$4,000 and above.

The most important skill is to get the job done and be persistent. You need to be broad-based and the technology does not matter.

You can get some salary benchmarks from these sites:



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