Why choose this course

If you’re intrigued by artificial intelligence, the application of robotics, and creating machines that can ‘see’, then this masters course is for you.

Our MSc in Computer Vision, Robotics and Machine Learning is taught by academics from our Centre for Vision, Speech and Signal Processing (CVSSP). The Centre is internationally recognised for its research in computer vision, multimedia signal processing and machine learning. With a diverse community of more than 120 researchers, they are one of the largest and best-respected vision research groups in the UK.

What you will study

Our MSc in Computer Vision, Robotics and Machine Learning will provide you with in-depth training and hands-on learning experiences. It is well-suited to anyone interested in a career in research-oriented institutions or pioneering technology companies that specialise in deep and machine learning, robotics and automation, and image and video analysis.

On this course, you will explore advanced computer vision and machine learning approaches for image and video analysis, as well as low-level image processing methods. You will also have the opportunity to substantially expand your programming skills through the projects you choose to take on.

Study and work abroad

There may be opportunities to acquire valuable European experience by working or conducting research abroad during your degree or shortly afterwards. It is possible to do this in the summer period with an Erasmus+ grant working on your dissertation or as a recent graduate. In order to qualify your Erasmus+ traineeship must be a minimum of two months.

Facilities, equipment and support

A number of the modules on our course are supported by laboratory classes where you can gain hands-on experience in artificial intelligence programming and develop your practical skills in the design of robotic devices.

We provide computing support with any specialised software required during the course, for example, MATLAB. The Faculty’s student common room is also covered by the University’s open-access wireless network, which makes it a very popular location for individual and group work using laptops and mobile devices.

Specialist experimental and research facilities, for computationally-demanding projects or those requiring specialist equipment, are provided by Surrey’s Centre for Vision, Speech and Signal Processing.

Industrial collaborations

We draw on our industry experience to inform and enrich our teaching, bringing theoretical subjects to life. Our industrial collaborations include:

  • Research and technology transfer projects with industrial partners such as the BBC, Foundry, LionHead and BAE
  • A number of our academics offer MSc projects in collaboration with our industrial partners.

Research

Our Department's Centre for Vision, Speech and Signal Processing is internationally renowned, with over 120 researchers working in the fields of deep learning, computer vision, signal processing and robotics. Their forward-thinking research is reflected in the course content, which is frequently updated with the latest developments. Uniquely, our robotics material integrates with Surrey Space Centre, building on our specialisms of space robotics.

Graduate prospects

At Surrey, we have links with innovative companies in machine learning, computer vision and gaming including Sony, Microsoft and the broader industry, where skills such as deep learning are in great demand.

Entry requirements

A minimum of a 2:2 UK honours degree in either Computer Science, Electronic Engineering, Mathematics, or Physics, or a recognised equivalent international qualification. We'll also consider relevant degree subjects or significant relevant work experience if you don’t meet these requirements.

Program taught in:
  • English

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Last updated September 19, 2019
This course is Campus based
Start Date
Oct 2020
Duration
1 - 5 years
Part-time
Full-time
Price
21,700 GBP
UK/EU Students: £10,300 Overseas Students: £21,700 full-time) | UK/EU Students: £1,100* Overseas Students: £2,400* (part-time) *per 15 credits
Deadline
July 20, 2020
By locations
By date
Start Date
Oct 2020
End Date
Oct 2021
Application deadline
July 20, 2020

Oct 2020

Location
Application deadline
July 20, 2020
End Date
Oct 2021