Nanyang Technological University (NTU)
Master of Science (Robotics and Intelligent Systems)
50, Singapore
MSc
DURATION
12 months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
28 Feb 2026
EARLIEST START DATE
Aug 2026
TUITION FEES
SGD 52,974
STUDY FORMAT
On-Campus
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.
Unique Features
- 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.
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.
Programme Structure and Duration
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
| Option | Description | No. of Courses | Core | Prescribed/ Specialised Electives^ | Electives^ |
|---|---|---|---|---|---|
| 1 | Coursework and Dissertation# | 8 Courses + Dissertation | 2 | (Group A) Min: 3 Max: 5 | (Group B) Min: 1 Max: 3 |
| 2 | Coursework Only (*Default Option) | 10 Courses | 2 | (Group A) Min: 3 Max: 5 | (Group B) Min: 2 Max: 4 (Group C) Min: 1 Max: 1 |
#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
you wish to apply for Option 1: Coursework and Dissertation, you must apply using the "Application for
Conversion of Option of study" form during your first Semester.
Curriculum
Core courses
| Course Code | Title | AUs |
|---|---|---|
| MA6210 | Introduction to Advanced Robotics and Autonomous Systems | 3 |
| MA6217 | Computational Methods in Robotics | 3 |
Group Elective Courses (Prescribed Electives)
| Course Code | Title | AUs |
|---|---|---|
| MA6211 | 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 |
Group Elective Courses (General Electives)
| Course Code | Title | AUs |
|---|---|---|
| MA6223 | Medical and Healthcare Robotics | 3 |
| MA6224 | Unmanned Vehicles | 3 |
| MA6501 | Manufacturing Control and Automation | 3 |
| MA7220 | Metaverse and Digital Twin | 3 |
| MA7223 | Human-Robot Interaction | 3 |
Group C Elective Course (Applied Research and Learning- Practicum for Coursework only Students)
| Course Code | Title | AUs |
|---|---|---|
| MA6215 | Robotics Projects | 3 |