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
Intelligent Reasoning Systems
Students will be taught how to build Intelligent Systems that solve problems by computational reasoning using captured domain knowledge and data. Example applications include, question answering systems such as IBM's Watson, personal assistants such as Amazon’s Alexa Skills and game-playing systems such as Google's AlphaGo
Courses:
- Machine Reasoning
- Cognitive Systems
- Reasoning Systems
Pattern Recognition Systems
Students will be taught how to design and build systems that make decisions by recognising complex patterns in data. Examples are robotic systems and smart city applications that take as input diverse sensor data streams. These systems will utilise the latest pattern recognition, machine learning and sensor signal processing techniques.
Courses:
- Problem Solving using Pattern Recognition
- Intelligent Sensing and Sense Making
- Pattern Recognition and Machine Learning Systems
Intelligent Robotic Systems
Students will be taught the skills required to build Intelligent Systems that will help control the advanced robotic systems, autonomous vehicles and industrial automation that will be central to Industry 4.0.
Courses:
- Robotic Systems
- Developing Autonomous Robots & Vehicles
- Human-Robot System Engineering
Intelligent Sensing Systems
Students will be taught the skills and techniques required to build Intelligent Sensing Systems that are able to make decisions based on visual and audio sensory signals, including human speech. Example systems include crowd monitoring, facial recognition, medical sensing, robot and vehicle control.
Courses:
- Vision Systems
- Spatial Reasoning from Sensor Data
- Real Time Audio-Visual Sensing and Sense Making
Intelligent Software Agents
Students will be taught how to build intelligent software agents that can act on behalf of, and replicate the actions of, humans in commercial and business transactions as well as automate business processes. Example systems include intelligent personal assistants, intelligent shopping agents as well as intelligent agents performing robotic process automation.
Courses:
- Intelligent Process Automation
- RPA and IPA - Strategy and Management
- Software Robots - Best Practices
- Self-Learning Systems
Practical Language Processing
Students will be taught advanced skills in practical language processing. This includes fundamental text processing, text analytics, deep learning techniques and their application in sentiment mining and chatbots development.
Courses:
- Text Analytics
- New Media and Sentiment Mining
- Text Processing using Machine Learning
- Conversational UIs
Intelligent Financial Risk Management
Students will focus on extracting knowledge for decision making from financial data which involves analysing and gaining insights from financial data sources. It also explores augmenting customer information using alternative data sources to complement decision making for financial services (banks, insurance, non-banking financial related services, etc.).
Courses:
- Advanced Machine Learning for Financial Services
- Explainable & Responsible AI for Finance
- Credit Risk Modelling and Analytics
- Alternative Data for Fintech Innovation
Learning Journey
Fundamental
(Complete 2 Graduate Certificates)
Specialist
(Complete 2 of 5 Graduate Certificates)
Intelligent Reasoning Systems
Pattern Recognition Systems
Problem Solving using Pattern Recognition
Intelligent Sensing and Sense Making
Pattern Recognition and Machine Learning Systems
Intelligent Robotic Systems
Autonomous Robots & Vehicles
Human-Robot System Engineering
Intelligent Sensing Systems
Spatial Reasoning from Sensor Data
Real Time Audio-Visual Sensing and Sense Making
Intelligent Software Agents
RPA and IPA - Strategy and Management
Software Robots - Best Practices
Intelligent Process Automation
Practical Language Processing
New Media and Sentiment Mining
Text Processing using Machine Learning
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
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.
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:
- Applications that are incomplete, including missing supporting document(s), will not be processed.
- Applicants who are found to have given inaccurate or false information will be required to withdraw from the programme.
- All payments for application fee are non-refundable.
- 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: