MEng Robotics and Artificial Intelligence
About this course
MEng in Robotics and Artificial Intelligence, a computer science degree focused on the design and implementation of intelligent mechanical systems. Core topics include Programming, Data Analysis, and Artificial Intelligence & Machine Learning. The programme spans four academic years and culminates in a substantial individual research undertaking. The first year establishes fundamental technical foundations through modules such as Mathematics for Robotics and Artificial Intelligence 1, Introduction to Mechanical Systems, Introduction to Programming for Robotics and Artificial Intelligence, and Mechatronics and Making. The second year expands into advanced software and algorithmic concepts via Control 2, Modelling and Simulation, Object-Oriented Programming for Robotics and Artificial Intelligence, and Introduction to Machine Learning for Robotics and Artificial Intelligence. The third year addresses complex system integration with modules including Sensors, Sensing and Signal Conditioning, Deep Learning for Robotics and Artificial Intelligence, Networking, Real-time Operating Systems and Security, and Simultaneous Localisation and Mapping. The final year involves advanced specialized study alongside the MEng Robotics and Artificial Intelligence Individual Project, with optional modules allowing focus in areas such as Aerial Robotics: Fundamentals to Practice in Real-World Environments, Introduction to Soft Robotics, Legged Robotics Systems, and Visual Perception and Scene Understanding.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
Entry requirements
A level: A*A*A (A* in either Mathematics or Further Mathematics required.) IB: 40 points (A total of 20 points in three higher level subjects including Grade 7 in Mathematics. The course will accept either ‘Mathematics: Analysis and Approaches’ or ‘Mathematics: Applications and Interpretation’ at higher level. ‘Mathematics: Analysis and Approaches’ is preferred.)
What students say
Based on about 112 final-year students who answered, across similar courses at this university
- Teaching on my course: 82%
- Learning opportunities: 79%
- Assessment and feedback: 66%
- Academic support: 84%
- Organisation and management: 68%
- Learning resources: 88%
- Student voice: 84%
Do students stay on the course?
Based on about 165 students who started, across similar courses at this university
- Continued on course: 93%
- Left higher education: 7%
What graduates do next
Based on about 23 graduates who answered, across similar courses at this university (a small group: a rough guide only)
- Working: 85%
- Further study: 5%
- Unemployed: 5%
Most common jobs
- Information Technology Professionals: 85%
- Managers, directors and senior officials: 5%
- Find their work meaningful: 85%
- Feel on track for their future plans: 90%
- Use what they learnt on the course: 80%
Where graduates work (5 years on)
Based on about 75 graduates, across similar courses at this university
- North West: 1%
- East Midlands: 3%
- West Midlands: 1%
- East of England: 7%
- London: 64%
- South East: 16%
- South West: 5%
- Scotland: 1%
Who gets in
Based on about 170 students who started, across similar courses at this university
- A levels: 81%
- Baccalaureate: 10%
- A degree: 3%
- Other HE qualification: 2%
- Other qualifications: 3%
- No formal qualifications: 1%
Accreditation & quality ratings
TEF 2023 (whole university): Silver overall, Silver for student experience, Gold for student outcomes.
Modules
- 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
- 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
- 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
- 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
- Aerial Robotics: Fundamentals to Practice in Real-World Environments
- Introduction to Soft Robotics
- Legged Robotics Systems
- Visual Perception and Scene Understanding
- Robotic Sensing, Manipulation and Interaction
- Reinforcement Learning for Robots in Dynamic Environments
Questions about this course
How much do graduates of MEng Robotics and Artificial Intelligence at University College London earn?
The median salary is £45,000 after 15 months, £51,000 after 3 years, £71,000 after 5 years. After five years the middle half of graduates earn between £49,500 and £96,500. The £71,000 median after five years is £35,000 more than the UK median for Computer science.
What do graduates of MEng Robotics and Artificial Intelligence at University College London do next?
90% were in work or further study 15 months after finishing (Graduate Outcomes 2022-23).
Are students happy with the teaching on MEng Robotics and Artificial Intelligence at University College London?
82% of final-year students were positive about the teaching in the National Student Survey 2024-25.
What grades do I need for MEng Robotics and Artificial Intelligence at University College London?
The typical offer is A*A*A at A level, or 40 points in the IB. The average entrant had 201 UCAS points.
How many students continue on MEng Robotics and Artificial Intelligence at University College London?
93% of students continued into their second year, and 7% left higher education.