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 an individual capstone 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 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.
Hivebotics robots are revolutionising traditional cleaning tasks
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
Profiles of Current Students
Divyanshi Someshkumar Pandey
Bachelor of Engineering (Robotics and Machine Intelligence), Class of 2028
“My interest in robotics began during my polytechnic studies in Automation and Mechatronics Systems, where I developed a strong fascination with defence robotics. Now pursuing a Bachelor of Engineering in Robotics and Machine Intelligence, I’m constantly seeking opportunities to deepen my technical skills and leadership experience. Being part of the NUS Calibur Robotics Team has allowed me to work on autonomous systems and advanced robotics platforms, and I see this programme as the ideal pathway to turn my passion into meaningful, realworld innovation, with the long-term goal of building my own robotics start-up.”
Zeng Jinwen
Bachelor of Engineering (Robotics and Machine Intelligence), Class of 2028
“Growing up across different cities and cultures taught me to stay curious, adaptable, and calm in uncertainty. At NUS, I chose an interdisciplinary path in Robotics and Machine Intelligence alongside Economics because I’m passionate about bridging technology and business. From studying entrepreneurship and machine learning at Stanford to working on robotics projects and research, each experience has shaped how I approach problem-solving, with both technical depth and strategic perspective. Ultimately, I hope to become a technology entrepreneur who builds innovative solutions with meaningful impact on society.”
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.
* This scholarship is unique within CDE to RMI. Singapore citizens are also eligible for the NUS Global Merit Scholarship, NUS Merit Scholarship and NUS Engineering Scholars (E-Scholars) programme. Scan
