Gain in-depth expertise in the rapidly growing robotics and artificial intelligence field through this cutting-edge programme. This Master's combines Computer Science, AI and Electronic and Mechanical Engineering, blending theory with hands-on experience.
Robots and autonomous systems are crucial in our future society. On this programme, you'll become a future leader, engineer or researcher in intelligent robotics, artificial intelligence and technology.
This MSc builds on UCL’s strengths in AI and computer science, creating a new interdisciplinary study area that combines machine learning, computer science, mechanical engineering, and electronic engineering. The programme also addresses the ethical and legal impacts of robotics on society.
You will learn from world-leading lecturers who are active researchers, using your programming skills to implement robot algorithms. You will work with various robots, including medical robots, drones, and manipulators, and learn about computer vision, localisation, and mapping tools used in autonomous driving.
You will also access UCL’s esteemed machine learning modules and complete a substantial project, either academic or industry-based.
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. Applicants must have studied mathematical subjects widely utilised across the programme (calculus, linear algebra, and probability), and understand concepts such as derivation, integration, series, matrix operations, Bayes inference. Additionally, applicants must have some experience with a programming language such as C/C++, Java, Python, or Matlab and must be able to understand programming concepts such as functions, classes, inheritance, branching, and looping.
For fees and funding options, please visit website to find out more.
UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.
As this programme admitted its first cohort of students in September 2024, graduate destination information is not yet available.
Graduates from similar programmes work in sectors like medical device development, industrial processing, data analytics, machine learning, and autonomous navigation. There are ample opportunities to work in research and academia, too.
Employability
This programme prepares you for roles in robotics-related industries and occupations requiring engineering or analytical skills. You will develop the ability to create robotics solutions and tackle automation challenges across various sectors, including manufacturing, security, healthcare, and more.
Compulsory modules
Optional modules
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