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.
Robots and autonomous systems are crucial in our future society. On this course, you’ll become a future leader, engineer or researcher in intelligent robotics and artificial intelligence.
This MSc builds on UCL’s strengths in AI and computer science, creating a new interdisciplinary study area that combines machine learning, computer science, and robot modelling and control. The course covers these topics from a wide range of perspectives, including their theoretical foundations, practical design and implementation, scientific research, and societal impact.
You will learn from world-leading lecturers who are active researchers, using your programming skills to design and implement algorithms underpinning robot perception and decision-making. You will work with various systems including mobile robots, manipulators, and robotic sensors, and learn about different computing techniques to process robot sensory data for object recognition, autonomous navigation, and manipulation. You will also complete a substantial project, working with an academic researcher or industry partner.
This course 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.
This course will prepare you to work in a variety of roles in sectors such as medical device development, industrial processing, data analytics, machine learning, and autonomous navigation. This Master’s will also provide you with the knowledge and skills to work in research or academia.
If you’re interested in learning more about the academic and professional journeys of UCL Computer Science students and graduates, please visit our Student Experiences page. While some of these testimonials feature alumni working in industry or research, we also interview students during their studies.
This course offers you the following benefits and opportunities:
Recognition from a top-ranked university: UCL is consistently ranked among the best universities globally ranked joint #8 in the QS World University Rankings 2027, providing you with a prestigious qualification that is highly regarded by employers worldwide.
High-quality education from leading experts: Learn from world-renowned academics who are at the forefront of computer science innovation. UCL Computer Science is recognised for its research excellence, ranked first in England and second in the UK for research power in Computer Science and Informatics in the UK’s most recent Research Excellence Framework REF 2021 .
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 80 位 | 格拉斯哥大学University of Glasgow | 1年 | 34815英镑/年 |
| 第 103 位 | 伦敦玛丽女王大学Queen Mary University of London | 1年 | 33150英镑/年 |
| 第 149 位 | 纽卡斯尔大学Newcastle University | 1年 | 31100英镑/年 |
| 第 174 位 | 贝尔法斯特女王大学Queen's University Belfast | 1年 | 29000英镑/年 |
| 第 288 位 | 阿伯丁大学University of Aberdeen | 1年 | 26250英镑/年 |