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Master of Technology in Artificial Intelligence Systems

Overview


Next IntakeJan 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 January 2026 admissions into the Part-Time MTech AIS programme should be submitted before 1 October 2025.

Applications for August 2026 admissions into the Full-Time MTech AIS programme commence on 1 October 2025 and should be submitted before 15 April 2026.

*The dates above are subjected to changes.

 
Entrance Test / GREFace-to-Face: 12 June 2025

    
*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. 
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Enquiryiss-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

Study Award & Scholarships:

NUS-ISS ASEAN Merit-Based Study Award: 

The NUS-ISS ASEAN Merit-Based Study Award is a partial scholarship initiative launched to enhance NUS-ISS's visibility across ASEAN countries (excluding Singapore) while supporting deserving students from developing nations to pursue full-time Master's programmes at NUS-ISS in Singapore. This merit-based award covers 40% of the tuition fees, offering a significant financial boost while maintaining a focus on academic excellence and leadership potential. It is available for students enrolled in NUS-ISS' Masters in Technology programmes.

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.

    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 5 Graduate Certificates

    Fundamental Courses

    Specialist Courses



    Learning Journey

     

    Fundamental
    (Complete 2 Graduate Certificates)
    Specialist
    (Complete 2 of 5 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
    • Text Analytics

     

    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

    SWE5008: Architecting AI Systems

    • Explainable and Responsible Artificial Intelligence
    • AI and Cybersecurity
    • Architecting Agentic AI Solutions
    • Integrating and Deploying AI Solutions

     

    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
    • Text Analytics
    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

    SWE5008: Architecting AI Systems

    • Explainable and Responsible Artificial Intelligence
    • AI and Cybersecurity
    • Architecting Agentic AI Solutions
    • Integrating and Deploying AI Solutions

    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 ComponentSingapore Citizens/Singapore Permanent ResidentsInternational Students (Alumni)International Students (Non-Alumni)
    Full Tuition FeesS$53,200 to S$55,000 S$53,200 to S$55,000S$53,200 to S$55,000
    NUS Enhanced RebateS$21,280 to S$22,000--
    NUS Alumni Rebate-S$10,640 to S$11,000-
    Nett Tuition FeesS$31,920 to S$33,000S$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$2,970S$3,830.40 to S$3,960S$4,788 to S$4,950
    Total Nett Tuition Fees, including GSTS$34,792.80 to S$35,970S$46,390.40 to S$47,960S$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.
      • It is mandatory to include the Institution code of NUS-ISS for GRE. (Code: 1941)
      • 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

      • It is mandatory to include the Institution code of NUS-ISS for TOEFL (Code: 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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