NUS
 
ISS
 

Master of Technology in Intelligent Systems

Overview


Next Intake Aug 2024 (Full-Time), Jan 2025 (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 2024 admissions into full-time MTech IS should be submitted before 30 April 2024.
Applications for January 2025 admissions into the part-time MTech IS should be submitted before 15 October 2024.

*The dates above are subjected to changes. 
Entrance Test / GRE Face-to-Face: 23 May 2024

*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 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.

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

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 Intelligent Systems (MTech IS) 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.


Courses

MTech IS 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)
 

Intelligent Reasoning Systems

Machine Reasoning
Reasoning Systems
Cognitive Systems
Graduate Certificate in Intelligent Reasoning Systems
 

Pattern Recognition Systems

Problem Solving using Pattern Recognition
Intelligent Sensing and Sense Making
Pattern Recognition and Machine Learning Systems
Graduate Certificate in Pattern Recognition Systems
 

Intelligent Robotic Systems

Robotic Systems
Autonomous Robots & Vehicles
Human-Robot System Engineering
Graduate Certificate in Intelligent Robotic Systems
 

Intelligent Sensing Systems

Vision Systems
Spatial Reasoning from Sensor Data
Real Time Audio-Visual Sensing and Sense Making
Graduate Certificate in Intelligent Sensing Systems
 

Intelligent Software Agents

RPA and IPA - Strategy and Management
Software Robots - Best Practices
Intelligent Process Automation
Self-learning Systems
Graduate Certificate in Intelligent Software Agents
 

Practical Language Processing

Text Analytics
New Media and Sentiment Mining
Text Processing using Machine Learning
Conversational UIs
Graduate Certificate in Practical Language Processing
 

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
Graduate Certificate in Intelligent Financial Risk Management

Capstone Project & Internships

A central element of the MTech programme is the capstone project

Student projects for MTech IS 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

 

ISY5005: Intelligent Software Agents

  • RPA and IPA – Strategy and Management
  • Software Robots – Best Practices
  • Intelligent Process Automation
  • Self-Learning Systems

Choose ONE

  • Continuous assessments
  • Open book written exams

ISY5003: Intelligent Robotic Systems

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

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

 

ISY5005: Intelligent Software Agents

  • RPA and IPA – Strategy and Management
  • Software Robots – Best Practices
  • Intelligent Process Automation
  • Self-Learning Systems

Year 2

Semester 2 (Jul - Nov)

Choose ONE

  • Continuous assessments
  • Open book written exams

ISY5003: Intelligent Robotic Systems

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

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


Fee Component Singapore Citizens Singapore Permanent Residents International Students
Full Tuition Fees S$52,300 to S$53,200  S$52,300 to S$53,200 S$52,300 to S$53,200
NUS-ISS Subsidy S$7,020 to S$7,200 S$7,020 to S$7,200 -
Nett Tuition Fees S$45,280 to S$46,000 S$45,280 to S$46,000 S$52,300 to S$53,200
9% GST on Nett Tuition Fees S$4,075.20 to S$4,140 S$4,075.20 to S$4,140   S$4,707 to S$4,788
Total Nett Tuition Fees, including GST  S$49,355.20 to S$50,140 S$49,355.20 to S$50,140 S$57,007 to S$57,988
NUS-ISS Study Award for AY2024/AY2025
(See T&Cs on Study Award below)
Up to S$15,000 Up to S$7,500  -
Total Nett Tuition Fees payable after Study Award, including GST S$34,355.20 to S$35,140 S$41,855.20 to S$42,640 S$57,007 to S$57,988
  
Note:
  1. NUS-ISS provides a subsidy of 20% of the component course fees for Singapore Citizens and Singapore Permanent Residents. 
  2. The NUS-ISS Fees and Subsidy are subjected to change without prior notice and there is no subsidy for the Practice Module fees or the Capstone fees. 
  3. From AY2024/2025, NUS-ISS will extend a 20% subsidy for NUS Alumni and no other subsidy shall apply concurrently.
  4. All study awards and subsidies are only for eligible self-paying students. 
  5. The exact tuition fees will be calculated based on the student’s selection of the Graduate Certificates. 
  6. The miscellaneous fees payable is set out here
  7. With effect from 1 January 2024, individuals using credit/debit card and eWallet to make payment via NUSFastPay will have to pay a 1% processing fee.
  8. Starting from AY2024, we will be collecting a non-refundable and non-transferable acceptance fee of S$3,270 (inclusive of prevailing GST), which will be credited towards your tuition fees, upon acceptance of offer.
  9. Please note that the fees mentioned on this MTech webpage do not include SSG (SkillsFuture Singapore) funding. Students who wish to confirm the availability of SSG funding for individual courses are encouraged to refer to the respective course fees or reach out to the iss-admissions@nus.edu.sg for further assistance.

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.

Loans and Subsidies

Students who require financing for their tuition fees may apply for the following:

  • Tuition Fee Loan

Read up more on the above loans and subsidies


Terms & Conditions of the NUS-ISS MTech Study Award (as of 2024):
  1. The NUS-ISS MTech Study Award will be given to qualifying Singapore Citizens and Singapore Permanent Residents matriculated from AY2023/2024 Semester 2 onwards for the unfunded courses of MTech IS degree.
  2. The NUS-ISS MTech Study Award may be amended at any time at the discretion of NUS-ISS.
  3. The quantum of the Study Award:

     Citizenship   Study Award  
     Singapore Citizens  Up to $15,000 
     Singapore Permanent Residents   Up to $7,500 


  4. The Study Award will be calculated based on the Graduate Certificate the student is enrolled to per semester.
  5. The Study Award may not exceed the fees paid by the respective student in that semester.
  6. Any course waivers are subjected to approval and fees would be adjusted accordingly.
  7. The Study Award will be applied after the NUS-ISS subsidy is deducted from the course fees. Please note that the Study Award will not be applied to courses funded by SkillsFuture Singapore (SSG) scheme. This ensures clarity in the application of the Study Award and the alignment with the guidelines set forth by the respective funding bodies. 
  8. The Study Award will be automatically granted to all eligible students upon their matriculation into the respective MTech programme. 
  9. Students have the option to decline the Study Award, and they should communicate this decision to NUS-ISS when accepting entry into the programme. 
  10. Those who are in receipt of partial scholarship/sponsorship shall have proportionally adjusted study awards.
  11. NUS-ISS reserves the right to terminate the Study Award if a scholarship holder's progress or behaviour is deemed unsatisfactory, based on the institute's discretion. 

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. 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 five 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).  

    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.
    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 IS 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 starting salary ranges from S$3,600 to S$3,800. 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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