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NTU’s MSc (Robotics & Intelligent Systems) blends theory and hands-on practice for roles in robotics engineering, automation, intelligent systems, and R&D, with strong local and international prospects. Aligned with Singapore’s Smart Nation 2.0 and RIE 2030, it supports manufacturing, health, urban solutions, and the digital economy. Enables sustainable growth and digital manufacturing, expanding opportunities in the precision engineering ecosystem.
MAE features top faculty in Autonomous Systems, Embodied Intelligence, BioRobotics, Rehabilitation Engineering, Smart Mobility, Robotic Microsurgery, Robotic Materials, and Human–Robot Interaction, pursuing translational R&D for maximal impact through the Robotics Research Centre (RRC).
Graduates may join leading companies and research institutions, driving innovation locally and globally.
#1 in Asia and #4 in the world for Mechanical, Aeronautical & Manufacturing, according to the 2025 QS World University Rankings by Subject.
Admission Information
Admissions Application period for January 2027 intake will be from 1 July 2026 to 31 August 2026.
- MAE at NTU blends robotics expertise with a culture of innovation. Faculty lead research across:
Autonomous Systems, Embodied Intelligence, BioRobotics Rehabilitation Engineering, Smart Mobility, Robotic Microsurgery Robotic Materials, Human–Machine Interaction.
- Collaborative culture: interdisciplinary projects, industry partnerships, venture opportunities, real-world impact.
Students access NTU’s research ecosystem, notably: Robotics Research Centre (RRC): Singapore’s first interdisciplinary robotics center. (est. 1994)
- Hands-on learning, translational projects, internships, startup/funding pathways.
- Translational impact: lab-to-market through partnerships, startups, and government initiatives.
-Global Excellence in Energy Research and Singapore as a Living Laboratory converge in this MSc.
- Strong mechanical engineering core with interdisciplinary reach and industry-driven projects.
- Graduates pursue R&D, policy, and energy management roles.
- Industry collaborations and real-world projects prepare leaders for the global clean energy transition.
- Enables versatile careers across engineering, sustainability, and technology innovation.
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Option to pursue a dissertation project in lieu of two courses
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MAE Graduate Scholarship
The MAE Graduate Scholarship is awarded to exceptional applicants applying for admission to MAE's Master of Science programmes.
The applicant must be able to demonstrate significant potential to enhance the academic rigor and reputation of the programme.
On top of the admission requirements of each programme, applicants will be assessed based on multiple factors that include academic record, working experiences, past achievements and awards, etc.
Shortlisted applicants may be invited for interviews, and successful applicants will be informed of the outcome shortly after the offer of admission.
Each Scholarship amounts to 100% of the total Tuition Fees for the programme, not including miscellaneous fees. The amount cannot be used to offset the SGD50 application fee and the SGD5000 acceptance of offer deposit payment.
Partial scholarships (50% of the total tuition fees) may also be awarded at the discretion of the Scholarship Evaluation Committee.
Recipients are expected to maintain a CGPA of 3.50 each Semester to maintain the eligibility for the Scholarship.
If you are interested, please complete and submit the MAE Graduate Scholarship Application Form to MAE Graduate Studies Office (mae.msc@ntu.edu.sg). Deadline for submission (January 2027 Intake) will be on 31 August 2026.
The following are minimum admission requirements. Meeting these criteria does not guarantee admission, as selection is competitive.
Candidates must possess
(A) A good bachelor’s degree in engineering, such as Aerospace, Mechanical or Electrical Engineering.
(B) A good TOEFL score (iBT = 85 or more, PBT = 563 or more, CBT = 223 or more) or IELTS score (6.0 or more) for graduates of universities in which English is not the medium of instruction. Please ensure that you upload a scanned copy of TOEFL/IELTS along with your application (hardcopy is not required).
Related disciplines include but are not limited to bachelor's programmes offered by the College of Engineering, Nanyang Technological University, Singapore.
Applicants must also provide 2 letters of reference from academic or professional supervisors and a clear statement of purpose in support of their application.
Full-Time (min. 1 year, max. 2 years) and Part-Time (min. 2 years, max. 4 years); 30 AUs coursework or 24 AUs coursework and a dissertation
#Full-time students choosing the dissertation option typically require 1.5 years instead of 1 year to graduate. ^For Group A, B and C Electives, refer to Curriculum for more information. *Please note that ALL students will automatically be assigned the default Option 2 - Coursework Only. If
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CORE COURSES
| Course Code | Title | AUs |
|---|---|---|
| MA6210 | Introduction to Advanced Robotics and Autonomous Systems | 3 |
| MA6121 | Applied Mathematics for Engineering | 3 |
GROUP A ELECTIVE COURSES (PRESCRIBED ELECTIVES)
Student on Coursework only study option: Register for a minimum of 3 courses or a maximum of 5 courses
Student on Coursework and Dissertation Study Option: Register for a minimum of 3 courses or maximum of 5 courses
| Course Code | Title | AUs |
|---|---|---|
MA6211 (TBC) | AI and Machine Learning Fundamentals for Robotics | 3 |
| MA6212 | Robotics Manipulation and Advanced Control | 3 |
| MA6213 | Sensors and Data Fusion | 3 |
| MA6214 | Autonomous Mobile Robot | 3 |
| MA6216 | Vision | 3 |
| MA6217 | Advanced Linear Systems and Control | 3 |
GROUP B ELECTIVE COURSES (GENERAL ELECTIVES)
Student on Coursework only study option: Register for a minimum of 2 courses or a maximum of 4 courses.
Student on Coursework and Dissertation study option: Register for a minimum of 1 course or a maximum of 3 courses.
| Course Code | Title | AUs |
|---|---|---|
| MA6220 | Metaverse and Digital Twin | 3 |
| MA6221 (TBC) | Medical and Healthcare Robotics | 3 |
| MA6223 | Human-Robot Interaction | 3 |
| MA6224 | Unmanned Vehicles | 3 |
| MA6501 | Manufacturing Control and Automation | 3 |
GROUP C ELECTIVE COURSE (Applied Research and Learning - PRACTICUM FOR ‘COURSEWORK ONLY’ STUDENTS)
Student on Coursework only study option: Register one courses from this Elective Group
Student on Coursework and Dissertation study option: Not eligible to register for the following courses.
| Course Code | Title | AUs |
|---|---|---|
| MA6215 | Robotics Projects | 3 |
| MA6788 | Independent Study | 3 |
COURSE SYNOPSIS
Core Courses
MA6210 Introduction to Advanced Robotics and Autonomous Systems
service and field robotics, wearable robots, micro/nano robotics, soft robotics, artificial intelligence, metaverse and advanced robotic technology for manufacturing and the ambient technology such as new actuators and sensors for robots. Societal impacts and ethical issues of robot deployment will be discussed, including both the positive and negative aspects.
MA6121 Applied Mathematics for Engineering
This course equips students with the essential mathematical skills to model, analyze, and solve complex engineering problems. By focusing on three core pillars, Linear Algebra, Partial Differential Equations, and Numerical Methods—students will learn to translate real-world challenges into mathematical equations and solve them using both analytical and numerical techniques. Upon completion, students will be prepared to apply these competencies to practical fields, including green (clean) energy production, transportation, equipment design and fabrication, vibration analysis, structural failure analysis, and material integrity analysis, etc.
This course is designed for graduate students in green energy technology, mechanical engineering, smart manufacturing, materials science, and related disciplines who are focused on the high-tech world of sustainable energies and robotics industries. It is ideal for those interested in elds such as:
- Fuel cells
- Hydrogen production and transportation
- Carbon reduction
- Robotics mechanism design and analysis.
- Automation and Control.
- Advanced manufacturing systems
technicians, can also bene t. This course will provide them with state-of-the-art strategies for solving complex engineering problems using the advanced mathematical skills they will learn.
Group A Electives (Prescribed Electives)
MA6214 Autonomous Mobile Robot
This course introduces you to the foundational principles and advanced techniques required to develop and analyze autonomous mobile robotic systems. You will learn the essential concepts of locomotion, perception, localization, mapping, planning, and control. This course is suitable for graduate students in engineering, computer science, or related fields who are interested in intelligent robotics systems and their real-world applications. Upon completing this course, you will be equipped to pursue advanced research or a career in robotics, automation, and AI-driven autonomous systems.
MA6216 Vision
Autonomy of robots could only be possible if they have the built-in capabilities of transforming sensory signals into knowledge as well as the built-in capabilities of transforming knowledge back to motor signals. Among all the sensory signals in the universe, visual signals undoubtedly occupy the number one position of importance. In addition, vision should represent the most important mental capabilities of future robots or robots with AI inside. Hence, this course offered at the graduate level should be taken by students with the strong interest in developing advanced robots in general.
The aim of this course is to educate the students at the graduate level with the fundamentals of physical principles behind the visual processes which transform visual signals into knowledge needed by advanced robots so as for them to achieve autonomy in complex environments.
This course covers the contents such as vision hardware, vision software, image processing, image understanding, monocular vision, and binocular vision. These learnt knowledge and skill will enable the students to become future designers of perception modules or AI modules inside advanced robots.
MA6217 Advanced Linear Systems and Control
This course aims to provide a comprehensive introduction to advanced techniques for the analysis and synthesis of linear systems, while enhancing your understanding of the analytical methods employed in modern control engineering. It is designed to develop your ability to apply these techniques to a broad range of engineering systems, with particular emphasis on robotic applications. By the end of the course, you will be able to effectively implement modern control strategies and demonstrate both strong conceptual understanding and practical proficiency in the key topics covered.
Group B Elective (General Electives)
MA6220 Metaverse and Digital Twin
Through global and industrial perspectives, this course will have metaverse and digital twin as two major modules aiming to equip students in postgraduate program on robotics, manufacturing or relevant fields with the state-of-the-art technologies.
MA6223 Human-Robot Interaction
This course equips you with the knowledge and skills to model, analyse, and design systems for human–robot interaction (HRI). You will learn about human neuromechanics and robotic control principles side-by-side, focusing on planar movements in upper-limb and locomotor systems. Through lectures, hands-on labs,
simulations, and projects, you will develop the ability to quantify human movement, design robotic controllers for safe and effective interaction, and critically evaluate HRI applications in rehabilitation, assistive robotics, and industry. This course is designed for graduate students in Mechanical Engineering and related fields who want to pursue careers or research in robotics, human–machine systems, or biomechanical engineering.
MA6224 Unmanned Vehicles
This course aims to introduce students to unmanned vehicles, particularly, Unmanned Air Vehicles (UAVs) and autonomous marine vehicles – from the mechatronic design to sensors and autonomy. The course will cover kinematic and dynamics of unmanned air vehicles, marine hydrodynamics, designing an extended Kalman filter, common control strategies, navigation algorithms, and data-driven decision-making, etc. Overall, the course aims to develop fundamental knowledge in unmanned vehicles, as well as the application of the scientific foundations to real-world challenges, while critically assessing emerging innovations and future trends.
MA6501 Manufacturing Control and Automation
Manufacturing environment is complex and requires high level of automation for robustness, high throughput and avoid downtimes. This automation is achieved using industrial robots, CNC/NC machines and related actuators and sensors. Thus, an understanding of the technology of manufacturing automation, the common manufacturing processing, mathematical modeling of manufacturing process, the sensors to measure process output variables, the actuators available on machines and the control systems that enable operation of machines is important for most manufacturing engineers.
Group C Elective (Applied Research and Learning - Practicum for 'Coursework-only' students)
MA6215 Robotics Projects
MA6788 Independent Study
The MA6788 Independent Study course aims to provide an opportunity for students to work on actual industry projects within an actual industry environment. Students are expected to apply theoretical learnings to address real industry problems and carry out projects in a systematic way, which includes project definition and scoping, project planning and scheduling, resource planning and financial budgeting, progress and result reporting and presentation etc.
Through this project-based course, students will gain valuable industry exposure and working experience, improve problem solving capabilities, enhance communication and leadership skills. The ultimate goal of the course is to bridge the gap between theoretical learning and practical problem solving, thus laying a solid foundation for students to embark on their career development in various industries.
Note: Students taking this course are expected to work on a project over the semester, in an actual industry context through an internship or work stint. The MA6788 Independent Study course is available to students on the coursework only study option. Students who have converted to the coursework and dissertation study option are not allowed to enrol in the MA6788 course.
For more information on the course registration process, please visit the Current Students Page.
Ideal for those with engineering, computer science, or related backgrounds pursuing robotics, automation, and intelligent systems. Builds local and international career paths in robotics-focused roles.
Career sectors: advanced manufacturing, healthcare, intelligent transportation systems, smart cities.
Additional avenues: startups/entrepreneurship and robotics education/outreach.
Fees
Please note this MSc programme is a self-financed, non-MOE subsidised programme.
| S$ | ||
| Application Fees (Inclusive of 9% GST) | Non-Refundable (payable when you submit your application) | 50 |
| Deposit Payment (Inclusive of 9% GST) | Non-Refundable and non-transferable (Payable upon acceptance of offer of admission) The deposit will be used to offset tuition fees after matriculation | 5,000 |
| Tuition Fees – Academic Year 2026 – 2027 (Inclusive of 9% GST) | To attain an MSc in Robotic & Intelligent Systems, candidates must complete ten courses (30 AUs), or eight courses (24 Aus) and one dissertation (6 AUs) | 56,682.18 (Full Programme) 1,889.41 (Per Academic Unit) |
Fees are subject to annual revision.
Notes on payment of fees:
Students will be billed after course registration period each Semester, and payment due date is 2 weeks after billing date.
A student who withdraws or leaves the University after course registration period is liable to pay the fees due for the semester.
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Incentives for NTU Alumni
From AY2024-2025 intakes onwards: NTU Alumni students are entitled to 10% study incentives in the form of reduction in fees.
Incentives for Singapore Citizens and Singapore Permanent Residents
From AY2025-2026 intakes onwards: The $5,000 subsidy for Singapore Citizens and Permanent Residents will continue. Additionally, the maximum financial aid available for eligible local students will increase to $10,000. This enhancement applies only to new intakes from AY2025 onwards.
- Log in to SkillsFuture portal and click on “Make SkillsFuture Credit Claim.
- Select NTU MSc Robotics and Intelligent Systems.
- To submit a claim, you should have supporting documents such as letter of offer, matriculation documents etc.
- In your claim, indicate the course start date to be first day of the upcoming Semester in the Academic Calendar.
- As your e-bill for the upcoming Semester would not be available yet, take note of your SFC Claim ID.
- Notify School (mae.msc@ntu.edu.sg) and NTU NSS-Finance (pbs@ntu.edu.sg) with the SFC Claim ID and theamount to be claimed through SFC.
- When you receive your e-bill for the Semester, leave the SFC amount to be claimed out of your payment.
- Please refer to Skillsfuture FAQ at this link.