Master of Science in Robotics

2 Years On Campus Masters Program

Mohamed bin Zayed University of Artificial Intelligence

Program Overview

The Master of Science in Robotics at MBZUAI is a two-year, full-time postgraduate research-oriented programme where you learn to blend artificial intelligence with autonomous robotic systems, so you can design intelligent machines that perceive, act and interact with complex environments. You’ll gain both foundational knowledge and advanced research experience — ideal for roles in autonomous systems, intelligent machines, robotics research or further doctoral study.

Curriculum Structure

Year 1 — Core Foundations & Research Preparation:
Your first year builds essential skills in both AI and robotics engineering through core modules such as Machine Learning with Python (introducing classification, regression and clustering techniques), Introduction to Deep Learning (neural networks and model training), Introduction to Robotics (robot kinematics, sensors, motion control and ROS), and Robot Localization and Navigation (mapping, SLAM and path planning). You also take Introduction to Research Methods and begin a compulsory Internship (up to six weeks) to gain hands-on experience, and start shaping your thesis topic with faculty guidance.

Year 2 — Specialisation, Electives & Thesis Research:
In the second year you deepen your expertise with electives chosen in consultation with your supervisory panel so they align with your interests and research goals, while you concentrate on your Master’s Research Thesis — a substantial, independent research project where you investigate a cutting-edge robotics problem and contribute novel solutions. This personalised research work demonstrates your ability to apply robotics and AI methods to real-world or theoretical challenges.

Focus areas:
Machine learning and deep learning for robotics, robotic perception and navigation, robot kinematics and control, autonomous system design, research methods and thesis execution.

Learning outcomes:
You’ll graduate able to design and evaluate intelligent robotic systems, apply advanced AI and navigation algorithms, conduct independent research, interpret complex sensor and system data, and communicate technical results effectively.

Professional alignment (accreditation):
This MSc is accredited by the UAE Ministry of Higher Education & Scientific Research (Commission for Academic Accreditation, CAA) and aligns with global standards in AI and robotics education, giving you respected credentials for research and industry roles.

Reputation (employability):
MBZUAI is a globally recognised specialist AI university with world-class faculty and research facilities, and its robotics graduates are well-positioned for careers in autonomous systems, robotic R&D, AI-enabled automation, advanced robotics engineering and related innovation sectors worldwide.

Experiential Learning (Research, Projects, Internships etc.)

Students develop applied expertise by conducting original research in a chosen specialization, utilizing advanced laboratory facilities, and engaging with industry and community-focused projects. This hands-on learning is facilitated by the university's research-oriented environment and partnerships. The experiential learning approach is implemented through several key components:

Primary Research Focus: The core practical component is a substantial Master's Thesis. Students must complete an independent research project (12 credit hours) that involves designing, implementing, and evaluating a novel solution to a computing problem under the supervision of a faculty advisor.
Specialised Research Facilities: Students have access to KU's specialized research laboratories and institutes. These include labs within the Center for Cyber-Physical Systems (C2PS), the KU Center for Autonomous Robotics Systems (KUCARS), and the KU Center for Digital Supply Chain and Operations Management, depending on their chosen specialization (e.g., Data Science, Robotics, Cybersecurity).
Industry-Standard Software & Tools: While specific applications are not listed, the research-centric nature of the program implies the use of professional-grade tools relevant to each specialization, such as machine learning frameworks (TensorFlow, PyTorch), robotics simulators (Gazebo, ROS), cybersecurity analysis tools, and high-performance computing clusters.
Industry and Community Engagement: The program encourages practical application through industrial projects and community service. Students may engage in collaborative projects with industry partners or apply their skills to address community needs, linking academic knowledge with real-world impact.
Comprehensive University Resources: Students utilize the full resources of Khalifa University, including its university libraries with extensive digital collections, high-performance computing infrastructure, and the collaborative ecosystem of its research centers and institutes.

Progression & Future Opportunities

MBZUAI's MSc in Robotics trains students to develop embodied AI systems that perceive, act, and interact in real-world settings like homes, hospitals, farms, and factories, through a 36-credit research-intensive curriculum with core courses in machine/deep learning, robot localization/manipulation, a mandatory internship, and electives like robotic vision or trustworthy AI.

Progression & Future Opportunities

Graduates pioneer integrated robotics technologies, taking leadership roles in developing intelligent machines for UAE's innovation ecosystem and global markets, supported by MBZUAI's top-ranked research and industry placements. The program's focus on practical prototyping and thesis research ensures readiness for high-impact positions amid surging demand for robotics experts.

Typical roles: Robotics Engineer, Embodied AI Developer, Robot Systems Architect, Manipulation Specialist.

University services: Dedicated career services with internships (90%+ placement), job fairs, and employer networks.
Employment stats/salaries: Exceptional outcomes; UAE robotics roles AED 30,000-60,000/month.
Partnerships: Industry collaborations for internships/thesis in humanoid robots, medical devices, smart cities.
Accreditation value: MBZUAI's global top-10 AI ranking ensures elite mobility and C-level paths.
Graduation outcomes: Alumni deploy neurally-controlled robots, advance human-robot symbiosis, innovate in healthcare/agriculture.

Further Academic Progression

Thesis excellence qualifies graduates for MBZUAI PhD in Robotics or global programs, leveraging original research in robot learning/vision for professorial roles or advanced R&D leadership.