Join us on the exciting, interdisciplinary MEng Robotics and Artificial Intelligence programme at UCL, where you'll absorb leading-edge research and use it to engineer real-world solutions. As an expert in this field, you’ll help to forge a future where intelligent robots can support humans to overcome complex practical challenges.
Robotics technologies are set to transform our societies and improve our lives, performing complex and dangerous physical tasks for us with power, consistency and precision.
On this 4-year integrated Master's programme, you’ll work alongside the pioneering AI and robotics experts who are finding new applications for these technologies every day, in diverse fields such as life sciences, healthcare, manufacturing, operational services, transportation, and more.
Drawing on the expertise of world-leading academics and researchers across the disciplines of computer science, AI, electronic and mechanical engineering, you’ll combine theoretical frameworks and approaches from all these areas to solve real-world problems. You’ll put your solutions into practice using the state-of-the-art robotics labs available at UCL East.
You’ll develop a wide range of practical computing skills, applying algorithms to data, debugging, designing and running experiments.
You’ll also engage deeply with the ethical considerations and dilemmas surrounding transformative AI and robotics technologies, evaluating the possible societal and environmental implications of new developments in this field. By the time you graduate, your expertise will extend beyond the technical â€" you'll be a conscientious and responsible practitioner, with the tools and expertise to help shape and change the world for the better. What this course will give you
This programme offers you the following benefits and opportunities:
- Immerse yourself in practical robotics, with access to our suite of robotics facilities containing industrial, educational and service robotic systems. - Gain opportunities to work on real-world engineering challenges with industry partners such as Microsoft, Intel, Cisco and the NHS, through the department’s Industry Exchange Network (IXN). - Study at UCL East - our new, purpose designed campus in Queen Elizabeth Olympic Park. - Graduate from one of the world’s most influential computer science departments. UCL is currently ranked first in England and second in the UK for research power in computer science and informatics (Research Excellence Framework 2021). - Learn from leading academics and absorb perspectives from globally-recognised research groups. UCL was named The Times and Sunday Times University of the Year 2024 and is consistently ranked among the best universities globally (ranked 9th in the latest QS World University Rankings 2025). As a graduate of this course, you’ll possess key critical skills in mathematics, engineering, computer science, AI and robotics.
These core technical competencies, combined with your practical group project experience and Master’s-level research methods, leave you well equipped for a wide variety of roles across a range of industries.
Due to the rapid expansion of applications for AI and robotics technologies, our graduates will find themselves, their skills and competencies in increasingly high demand.
Modality
ON-CAMPUS: LONDRES
Tuition fee
£43,500
Entry requirements
1. A levels
Grades A*A*A
Subjects A* in either Mathematics or Further Mathematics required.
GCSEs English Language and Mathematics at grade C or 4.
Contextual offer information
Grades A*AB more about contextual offers
Subjects A* in either Mathematics or Further Mathematics required.
GCSEs English Language and Mathematics at grade C or 4.
<2. B>IB Diploma
Points 40
Subjects A total of 20 points in three higher level subjects including grade 7 in Mathematics. The programme will accept either 'Mathematics: Analysis and Approaches' or 'Mathematics: Applications and Interpretation' at higher level. 'Mathematics: Analysis and Approaches' is preferred.
Dates and duration
4 academic years
Career opportunities
Where this programme can take you
As a graduate of this course, you’ll possess key critical skills in mathematics, engineering, computer science, AI and robotics.
These core technical competencies, combined with your practical group project experience and Master’s-level research methods, leave you well equipped for a wide variety of roles across a range of industries.
Due to the rapid expansion of applications for AI and robotics technologies, our graduates will find themselves, their skills and competencies in increasingly high demand.
SYLLABUS
Year 1
- Mathematics for Robotics and Artificial Intelligence 1 - Introduction to Mechanical Systems - Introduction to Programming for Robotics and Artificial Intelligence - Mechatronics and Making - Mathematics for Robotics and Artificial Intelligence 2 - Introduction to Electronics - Control 1 - Data Structures and Algorithms
Year 2
- Control 2 - Modelling and Simulation - Object-Oriented Programming for Robotics and Artificial Intelligence - Introduction to Machine Learning for Robotics and Artificial Intelligence - Reinforcement Learning for Robotics and Artificial Intelligence - Systems Engineering for Real-time Systems - Optimisation, Filtering and Fusion - Industrial Project in Robotics and Artificial Intelligence
Year 3
- Sensors, Sensing and Signal Conditioning - Deep Learning for Robotics and Artificial Intelligence - Networking, Real-time Operating Systems and Security - Simultaneous Localisation and Mapping - Robot Learning - Robot Planning - Robotics and Artificial Intelligence Group Project
Year 4
- Multi-agent Systems - Scene Understanding and Situational Awareness - Sampling, Compression and Data Analysis - Human Robot Interaction - The Economics of Robots - MEng Robotics and Artificial Intelligence Individual Project
Optional modules
- Inclusive Design and Environments - Innovation for a Fairer World - East London Lab - Community Wellbeing, Health Inequalities and the role of Social Prescribing - Foundations of Citizen Science - Sustainability and Decision-Making - Find your Future - Entrepreneurship: Theory and Practice - Exploring Power, Inclusion and Exclusion with Local Communities
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