Computer Vision, Robotics and Machine Learning MSc

What you will study

Our Computer Vision, Robotics and Machine Learning MSc will provide you with in-depth training and hands-on learning experiences. It’s 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’ll explore advanced computer vision and machine learning approaches for image and video analysis, as well as low-level image processing methods.

You’ll also have the opportunity to substantially expand your programming skills through the projects you choose to take on.

Professional recognition

MSc - Institution of Engineering and Technology (IET)
Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as an Incorporated Engineer and partially meeting the academic requirement for registration as a Chartered Engineer.

Industrial collaborations

We draw on our industry experience to inform and enrich our teaching, bringing theoretical subjects to life. We have collaborated with industrial partners such as the BBC, Foundry, LionHead and BAE on research and technology transfer projects.

Several of our academics offer MSc projects in collaboration with our industrial partners.

Research

Our Centre for Vision, Speech and Signal Processing is internationally renowned, with more than 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 is inspired by our Surrey Space Centre, building on our specialisms in space robotics.

Facilities

Several modules on our course are supported by laboratory classes. Here, you’ll gain hands-on experience in artificial intelligence programming and develop practical skills in the design of robotic devices.

We’ll provide you with computing support for any specialised software (e.g. MATLAB) required during the course. The faculty’s student common room is also covered by the University’s open-access wireless network, which makes it a 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 our Centre for Vision, Speech and Signal Processing.

IELTS Academic: 6.5 overall with 6.0 in writing and 5.5 in each other element.

These are the English language qualifications and levels that we can accept.

If you do not currently meet the level required for your programme, we offer intensive pre-sessional English language courses, designed to take you to the level of English ability and skill required for your studies here.