Robotics and Artificial Intelligence MSc

London, Stratford (UCL East)

Gain in-depth expertise in the rapidly growing robotics and artificial intelligence field through this cutting-edge 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.

UK students International students
Study mode
Full-time
UK tuition fees (2024/25)
£19,300
Overseas tuition fees (2024/25)
£37,500
Duration
1 calendar year
Programme starts
September 2024
Applications accepted
Applicants who require a visa: 16 Oct 2023 – 05 Apr 2024
Applications close at 5pm UK time

Applications open

Applicants who do not require a visa: 16 Oct 2023 – 30 Aug 2024
Applications close at 5pm UK time

Applications open

Entry requirements

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. 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.

The English language level for this programme is: Level 2

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Further information can be found on our English language requirements page.

Equivalent qualifications

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.

International applicants can find out the equivalent qualification for their country by selecting from the list below. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice.

About this degree


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.  

The Robotics and Artificial Intelligence MSc builds on UCL’s existing strengths in AI and computer science to create a new transdisciplinary area of study that fuses applied machine learning with elements from computer science, mechanical engineering, and electronic engineering towards a new discipline of robotics.  

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. 

In this programme, you will use your programming skills to implement robot algorithms in a variety of ways. Depending on your module selections, you will use general-purpose robots and specialised robots, such as medical robots, drones and manipulators.  

You will have the opportunity to learn about applying computer vision to robotics, localisation and mapping tools used in autonomous driving and get to grips with the Robotic Operating System (ROS) – widely used across industry and research. You will also have access to some of UCL’s highly regarded machine learning modules. You will undertake a substantial project as the culmination of your programme – either an academic research project or a collaboration with an industry partner – which will help consolidate your knowledge. 

This programme brings together theory with practice, giving you the skills you will need to work in a variety of robotics and AI roles across a range of industries. 

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.

Who this course is for

The Robotics and Artificial Intelligence MSc is an excellent option if you have strong mathematics and programming skills. You will have a desire to go on to work or research in the field of robotics, and you might have some prior experience of robotics, the Robotic Operating System (ROS), Raspberry Pi or Arduino.

What this course will give you

UCL is ranked 9th globally in the latest QS World University Rankings (2024), giving you an exciting opportunity to study at one of the world’s best universities.     

UCL Computer Science is recognised as a world leader in teaching and research. The department was 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 (REF2021). You will learn from leading academic experts at the forefront of computer science innovation.  

The programme team takes an experimental approach to our subject, enjoys the challenge and opportunity of entrepreneurial partnerships, and places a high value on our extensive range of industrial collaborations. You will have opportunities to work on real-world problems through our industry-supported projects.

The foundation of your career

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.

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.

Networking

UCL is proud to support innovation and link our students and research directly to real-world business applications. From internships to solving complex problems with commercial partners, UCL Engineering has a collaborative, innovative spirit at its core.

As a student and later as a graduate, you will have access to a UCL Engineering careers events programme, connecting you with employers and alumni. This programme provides invaluable insight into the reality of different roles, sectors, and current application processes.

Entrepreneurial minds thrive at UCL. For example, UCL’s IDEALondon was the first innovation centre led by a university in London and incubates companies post-seed to reach technical and business milestones. Our academic and industrial networks provide a safe and supportive environment to grow a company.

Teaching and learning

The programme’s core curriculum balances teaching approaches which enable students to engage in technical learning (typically delivered through a combination of lectures, tutorials, and lab classes) and project-based learning (using seminar discussions, labs, group and peer feedback). Guest lectures and other external engagement with industrial partners will also form a key part of addressing the learning outcomes of the programme.

You will be assessed through a range of methods across the programme, which will vary depending on any optional or elective module choices. The programme’s core curriculum is typically assessed by methods including coursework, lab work, individual and group projects, class tests, written examinations, oral assessments, and, in all cases, culminating in a final research or industrial project/ dissertation.

Contact time takes a variety of forms, including lectures, seminars, tutorials, project supervisions, demonstrations, practical classes and workshops, visits, placements, office hours (where staff are available for consultation), email, videoconference, or other media, and situations where feedback on assessed work is given (one-to-one or in a group).

Each module has a credit value that indicates the total notional learning hours a learner will spend on average to achieve its learning outcomes. One credit is typically described as being equal to 10 hours of notional learning, which includes all contact time, self-directed study, and assessment.

The contact time for each of your 15-credit taught modules will typically include 22-30 hours of teaching activity over the term of its delivery, with the balance then comprised of self-directed learning and working on your assessments. You will have ongoing contact with teaching staff via each module’s online discussion forum, which is typically used for discussing and clarifying concepts or assessment matters. You will also have the opportunity to access additional support via regular office hours with module leaders and programme directors.

Your research project/dissertation module is 60 credits and will include regular contact with your project supervisor(s), who will guide and support you throughout your project. You will dedicate most of your time on this module to carrying out research in connection with your project and writing up your final report.

Modules

Term 1 consists of four compulsory modules, which cover the fundamental basics of how to model and control a robotic system using project-based learning. 

Term 2 comprises a further compulsory module on mapping and localisation, and students choose three optional modules, with optional subjects including Machine Learning and Artificial Intelligence; Human Robot Interaction and Teleoperation; and Practical Robotic Systems. 

Term 3 will be devoted to your individual final project/ dissertation.

Compulsory modules

Modelling and Motion Planning

Estimation and Control

Computer Vision and Sensing

Machine Learning for Robotics

MSc Robotics and Artificial Intelligence Project

Robot Vision and Navigation


Optional modules




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



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. Modules that are in use for the current academic year are linked for further information. Where no link is present, further information is not yet available.

Students undertake modules to the value of 180 credits. Upon successful completion of 180 credits, you will be awarded an MSc in Robotics and Artificial Intelligence.

Accessibility

Details of the accessibility of UCL buildings can be obtained from AccessAble accessable.co.uk. Further information can also be obtained from the UCL Student Support and Wellbeing team.

UCL East Marshgate E20 2AE - Open day

UCL East Graduate Open Evening

Discover our range of practice-based, postgraduate programmes and cutting-edge facilities at our UCL East Postgraduate Open Evening. Visit us for your chance to learn more about the future-focused, interdisciplinary degrees we offer and to meet leading researchers delivering our programmes and interact with current UCL students.

Online - Open day

Graduate Open Events: Department of Computer Science

Join us for a live online information session to hear from Computer Science staff. We will cover areas such as the general admission process, careers support, and industry links/placements. There will also be an opportunity for you to ask staff and current students any questions you may have. Two sessions will run for this event. These sessions are the same and are repeated to cater to people in different time zones.

Fees and funding

Fees for this course

UK students International students
Fee description Full-time
Tuition fees (2024/25) £19,300
Tuition fees (2024/25) £37,500

Additional costs

Students will require a modern computer (PC or Mac) with minimum specifications 8GB RAM and 500GB SSD storage. A computer with the stated specifications is estimated to cost £500 or greater.

For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs.

Funding your studies

For more information about funding opportunities for UCL Computer Science taught postgraduate programmes, please see the department's scholarships webpage.

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

UCL East London Scholarship

Deadline: 20 June 2024
Value: Tuition fees plus £15,700 stipend ()
Criteria Based on financial need
Eligibility: UK

UCL Friends & Alumni Association scholarship for Machine Learning

Deadline: 3 June 2024
Value: $20,000 (1 year)
Criteria Based on both academic merit and financial need
Eligibility: EU, Overseas

Next steps

There is an application processing fee for this programme of £90 for online applications and £115 for paper applications. Further information can be found at Application fees.

Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver. Your application will be judged entirely on the evidence you provide.

Your personal statement should include:

  • Why you want to study Robotics and Artificial Intelligence at taught postgraduate level.
  • Why you want to study Robotics and Artificial Intelligence at UCL.
  • What particularly attracts you to this programme.
  • How your academic and professional background meets the demands of this programme
  • What mathematics experience you have to meet the requirements of the programme
  • What programming experience you have
  • Where you would like to go professionally with your degree.

Due to competition for places on this programme, no late applications will be considered. Students with visa requirements or applying for scholarships are advised to apply early.

Please note that you may submit applications for a maximum of two graduate programmes (or one application for the Law LLM) in any application cycle.

Choose your programme

Please read the Application Guidance before proceeding with your application.

Year of entry: 2024-2025

Got questions? Get in touch

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