NUS CDE Robotics and Machine Intelligence - 2025

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Transforming Our World with Intelligent Machines Robotics and Machine Intelligence

Why Choose Robotics and Machine Intelligence?

Robots are transforming the way we do things. From complex robotic arms that carry out minimally invasive surgeries to bio-inspired robotic jellyfish cleaning up marine debris, robots offer unique solutions to global challenges of an ageing population and climate change by extending our human capabilities and furthering our reach into environments inaccessible or hazardous for us.

Robotics engineering combines knowledge and skills from mechanical, electrical, and computer engineering with the application of data science and artificial intelligence. The interdisciplinary curriculum of this

exciting new programme provides you not only with the fundamentals of mechanics, electronics, control and programming, but also training in data analytics and machine learning. The integration of artificial intelligence with robotic hardware equips you with the proficiency to design intelligent robots that are more autonomous and adaptable, capable of sophisticated decision-making and learning from interactions with the environment.

The expertise you gain makes you suited not only for a career in robotics, but also roles in automation, testing and controls, which are found in industries as diverse as defence, manufacturing, logistics, healthcare and even consumer electronics.

bear demonstrates how robots can help with patient transfer and care

A teddy
Legged robots can navigate complex terrains to survey remote regions or disaster zones

Career Opportunities

Robotics is one of the fastest-growing areas across the industry. When you graduate from this programme, you will have the skill sets to take on jobs in hardware, software or both.

• Automation Engineer: Design and develop automated machines and streamline automated processes.

• Controls Engineer: Design and implement instrumentation and control systems for optimising operational efficiency in equipment.

• Data Engineer: Collect, manage, and convert raw data into useful information.

• Design Engineer: Create innovative solutions from conception and technical design to prototyping and product development.

• Integration Engineer: Integrate hardware, software and networked systems.

• Robotics Engineer: Design, fabricate, test, and assemble complex, intelligent mechanical systems for specific industrial and service applications.

• Software Engineer: Design software for the control of robotic equipment and systems.

• Systems Engineer: Use mathematical modelling and computational methods to analyse, evaluate and improve automated systems and processes so they run more safely, efficiently and profitably.

• Test Engineer: Design and execute tests to analyse and evaluate products or systems to ensure their performance.

What Will I Learn?

Our interdisciplinary programme integrates elements of mechanical, electrical and computer engineering, as well as data science and artificial intelligence, and applies these to the design, building and operation of intelligent robotic systems that can learn from their experiences and environment and also make decisions autonomously.

Among the topics you will learn are the mechanics of motion, electronics and instrumentation, adaptive control, robot vision and perception, localisation and navigation, data analytics, machine learning and the design of autonomous systems.

You get to integrate your knowledge and skills in a capstone individual final year project, while having the further option of a group-based robotics systems design project

A soft robot that mimics the motion and sensory awareness of an octopus, pioneered by Professor Cecilia Laschi

Our Curriculum

You complete the equivalent of 40 courses, typically over four years. You read 10 courses prescribed by NUS and the College, and another 20 courses covering the fundamentals of Robotics and Machine Intelligence (RMI), including four technical electives.

If you have a related polytechnic diploma, you get advanced placement credits (APCs) such that most diploma holders can graduate in three years. APCs are given outside of the RMI core, so you do not miss out on core content!

Most Poly Students Graduate in 3 Years

Beyond

Boundaries: Second Majors, Minors & Double Degrees

The remaining 10 Unrestricted Electives (UE) are where you get to decide the direction of your degree! Opt for a second major (10 courses), or any combination of higher-level technical electives, minors (5 courses), or pretty much any course on offer to you in NUS! You can even go on a vacation internship or work on a project under the Undergraduate Research Opportunities Programme (UROP)!

By exploring adjacent areas such as Biomedical Engineering, Materials Engineering or Systems Engineering, you can strengthen your knowledge of robotics design and application. Alternatively, you could examine the impact of robotics on humans and society, in Psychology or Sociology.

With several double-degrees, and some 40 second majors and 80 minors within engineering and beyond, you can tailor unique skill sets that best suit your interests and career goals.

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Robotic Start-up

Hivebotics

Rishab Patwari

Bachelor of Engineering (Computer Engineering), Class of 2023

Nguyen Tuan Dung

Bachelor of Engineering (Mechanical Engineering), Class of 2023

Hivebotics robots are revolutionising traditional cleaning tasks

AI Talent Scholarship

If you are a Singapore citizen, you have exclusive access* to this scholarship, reserved for outstanding students pursuing AI-related programmes at NUS.

Main benefits include:

• Subsidised tuition fees (after MOE Tuition Grant)

• Annual allowances for living expenses and accommodation, with priority allocation

• One-time computer allowance

• Overseas allowance and priority placement for either the Student Exchange Programme (SEP) at a leading AI partner university or at an AI start-up in a NUS Overseas Colleges (NOC) location.

• Mentorship from leading AI researchers, including research opportunities

• Bond-free

* This scholarship is unique within CDE to RMI. Singapore citizens are also eligible for the NUS Global Merit Scholarship, NUS Merit Scholarship and CDE’s E-Scholars.

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Admission Requirements

Singapore-Cambridge ‘A’ Levels

Pass in H2 Mathematics or Further Mathematics

International Baccalaureate Diploma

Pass in HL Mathematics: Analysis and Approaches

NUS High School

A good major GPA in Mathematics

Polytechnic Diplomas

Accredited diploma

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