MEng Robotics and Artificial Intelligence
About this course
Robotics and artificial intelligence represents one of the most exciting and consequential fields in contemporary science and engineering. Robotics is concerned with designing, building, and programming physical systems that can sense, reason, and act in the world, whether in manufacturing, healthcare, exploration, logistics, or everyday life. Artificial intelligence provides the computational methods that allow machines to learn from data, recognise patterns, make decisions, and increasingly to interact with humans and their environments in sophisticated and useful ways. Together, these disciplines are reshaping industry, medicine, and science at remarkable speed, and the demand for people who understand both deeply is growing across almost every sector of the economy. At University College London, this four-year full-time programme is one of the most demanding and prestigious in the field in the UK. UCL has world-class research strengths in both robotics and AI, and students study in an environment where many of the academics teaching them are at the forefront of the discipline. You will develop rigorous foundations in mathematics, programming, machine learning, computer vision, control theory, robotic systems design, and the principles of intelligent autonomous agents. The four-year structure allows for depth and specialisation that a three-year degree cannot match, and you will engage with research-level work in the later stages of the programme, developing the skills to contribute to the ongoing development of the field. Graduates from Robotics and Artificial Intelligence at UCL are among the most sought-after in the technology sector. Career destinations include roles as machine learning engineers, robotics engineers, AI researchers, software engineers in AI-intensive industries, and technical leads in technology companies, research laboratories, aerospace, automotive, healthcare technology, and defence. Many graduates pursue postgraduate research, contributing to the academic and industrial research that continues to advance the capabilities of intelligent systems. This is a degree for people with strong mathematical ability and a genuine passion for building systems that can think and act in the world.
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