Robotics and Artificial Intelligence MSc 12 months Postgraduate Programme By UCL |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

44,400 GBPTuition Fee/year

Application Deadline

22 Mar, 2027Application Deadline

Starting Month

SepStarting Month

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Master's

Study Mode

On Campus

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. 


While this course is based at UCL East, you will have the opportunity to take elective modules at the UCL Bloomsbury campus. 

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Master's

Study Mode

On Campus

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. 


While this course is based at UCL East, you will have the opportunity to take elective modules at the UCL Bloomsbury campus. 

Admission Requirements

180+
4.5+
76+
7+
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.

22 Mar 2027
1 Year
Sep

Tuition fees

Domestic
21,500 GBP
International
44,400 GBP

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

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