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Gain in-depth expertise in the rapidly growing robotics and artificial intelligence field through this cutting-edge programme.
About this programme
The Robotics and Artificial Intelligence MSc draws together teaching from Computer Science, AI and Electronic and Mechanical Engineering, combining theory with hands-on experience. Our goal is to help you become future engineers, leaders and researchers in intelligent robotics, artificial intelligence, technology, engineering and finance.
In any likely future of society, robots and autonomous systems will play a key role. Much of the existing education in robotics has been based on traditional engineering disciplines. The shifting focus towards autonomous intelligent robots means that computer science will play a more central role in the future.
Whilst the programme has a strong technical basis, the potential for robots to impact society means it must also address the ethical and legal impact of robots on people and society. This MSc enables you to learn from world-leading lecturers who are also researchers in their areas of expertise, sharing their knowledge about the very latest developments in this fast-paced field.
The MSc programme will be taught at the brand new, purpose-designed UCL East campus in Queen Elizabeth Olympic Park, bringing you a modern learning environment in an exciting location.
Compulsory modules
- Robot Vision and Navigation
- Modelling and Motion Planning
- Estimation and Control
- Computer Vision and Sensing
- Machine Learning for Robotics
- MSc Robotics and Computation Dissertation
Optional modules may include:
- Introduction to Soft Robotics
- Virtual Environments
- Perception and Interfaces
- Aerial Robotics: Fundamentals to Practice in Real-World Environments
- Introduction to Soft Robotics
- Legged Robotics Systems
- Object Detection and Classification
- Robotic Sensing, Manipulation and Interaction
- Sensors and Location
Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment, and module content and availability are subject to change.
Who is the programme for?
Entry requirements
This programme is for you if:
- you have a minimum of an upper second-class UK Bachelor's degree (or international qualification of an equivalent standard) in a highly quantitative subject such as computer science, mathematics, electrical or electronic engineering, or the physical sciences;
- you have experience with programming in languages such as C/C++, Java, Python, or MATLAB and are able to understand programming concepts such as functions, classes, inheritance, branching, and looping;
- you want to pursue a successful career in the robotics industry and robotic technologies.
Employability
The programme is designed to prepare you to enter a robotics-related industry or any other occupation requiring engineering or analytical skills. You will develop the skills needed to create new robotics solutions and solve computational challenges in automation, which are likely to be in demand globally across many industrial sectors, spanning manufacturing, security, mining, design, transport, exploration, and healthcare.
The research-based curriculum promotes strong research skills, which you will develop through your final research project/dissertation. You will be well equipped to undertake doctoral research in robotics and computational research specific to robotics, which will be translational across different analytical disciplines or applied fields influenced by new robotic technologies and capabilities.
Career destinations
As this is a new programme, graduate destination information is not yet available. However, graduates from similar programmes have gone into a variety of sectors and roles, finding employment at companies that develop medical devices using robotics, such as Medtronic and Siemens.
Some also work in robot manipulation and control, industrial processing, information processing, data analytics, machine learning, or autonomous navigation. The fast pace of change in robotics and artificial intelligence means ample opportunities in research and academia, too.
Register below to receive further information about this programme.