Master of Science in Robotics and Autonomous Systems
About This Programme
A research master's in robot dynamics and control, perception, autonomous navigation and robotic systems, preparing graduates for robotics engineering, AI and research.
Course Highlights
- Four-course core: Robot Dynamics and Control, Robot Perception, Autonomous Robot Navigation, and Robotic Systems
- Electives from medical, space, marine, aerial, legged, and self-driving robotics
- Access to KU's autonomous-vehicle, aerial, and manipulation robotics labs
- 9-credit original research thesis
What You'll Study
On-campus, full-time study combining 21 credits of taught robotics core and elective courses with a 9-credit research thesis, with access to KU's dedicated robotics laboratories.
Core Courses
- ENGR 695 Seminar in Research Methods0 credits
- ROBO 601 Robot Dynamics and Control3 credits
- ROBO 602 Robot Perception3 credits
- ROBO 603 Autonomous Robot Navigation3 credits
- ROBO 604 Robotic Systems3 credits
Electives (select 3)
- ROBO 650 Industry 4.0 Robotics3 credits
- ROBO 651 Medical Robotics3 credits
- ROBO 652 Space Robotics3 credits
- ROBO 653 Self-Driving Cars3 credits
- ROBO 654 Autonomous Aerial Robotic Systems3 credits
- ROBO 655 Marine Robots3 credits
- ROBO 656 Legged Robots3 credits
- COSC 635 Deep Learning System Design3 credits
Thesis
- ROBO 699 Master's Thesis9 credits
Entry Requirements
Some programmes are nationality-restricted (e.g. Nuclear Engineering; International and Civil Security).
Careers
Graduates pursue careers in robotics, industrial automation, autonomous vehicles, and AI across industry, defence, energy, and academic research.
Accreditation & Professional Recognition
CAA (MoE)
Programme Details
Award
Master of Science in Robotics and Autonomous Systems
Start Date
August 2026 (Fall; Spring intake for many programmes)
Typical Offer
Bachelor's degree in engineering, computer science, or a related field with a minimum CGPA of 3.0 on a 4.0 scale, plus English proficiency (IELTS 6.5 / TOEFL iBT 91).
Duration
2 years
Qualification
Masters
Subject Area
Computer Science
Campus
Abu Dhabi
Course Type
Master of Science
Study Pattern
Full time
Delivery Format
In person
Tuition Fee
AED 150,000/yr
Apply online via ku.ac.ae with transcripts, references and a statement of purpose. Scholarships are assessed automatically at admission. Master's awards may cover tuition in full or in part and carry no stipend; PhD awards are competitive and merit-based, and may carry a full or partial tuition waiver plus a monthly stipend whose amount Khalifa University does not publish.