Program Overview

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Overview of the Master of Technology in Artificial Intelligence Systems (MTech AIS) Programme

The NUS Master of Technology in Artificial Intelligence Systems (MTech AIS) 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.

Programme Description

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

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: 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.
• 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.

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.

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

Intelligent Reasoning Systems

Students will be taught how to build Intelligent Systems that solve problems by computational reasoning using captured domain knowledge and data.

• 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.

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

Specialist Courses

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.

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

Practical Language Processing

Students will be taught advanced skills in practical language processing.

• 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.

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

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.

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

Timetable & Exams

Timetable & Exams for Full-time Students

Year	Curriculum	Assessment
Year 1 Semester 1	ISY5001: Intelligent Reasoning Systems (compulsory)	Continuous assessments, Open book written exams
Year 1 Semester 2	Choose ONE	Continuous assessments, Open book written exams

Timetable & Exams for Part-time Students

Year	Curriculum	Assessment
Year 1 Semester 1	ISY5001: Intelligent Reasoning Systems (compulsory)	Continuous assessments, Open book written exams
Year 1 Semester 2	ISY5002: Pattern Recognition Systems (compulsory)	Continuous assessments, Open book written exams

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

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

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

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.

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

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.