Course summary
Why choose this course If you’re intrigued by artificial intelligence, the application of robotics and creating machines that can ‘see’, then this MSc is for you. This course is taught by academics from our Centre for Vision, Speech and Signal Processing (CVSSP), which is internationally recognised for its research in computer vision, multimedia signal processing and machine learning. With a diverse community of more than 120 researchers, CVSSP is 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’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.
Modules
To see the full range of modules for this course please visit our website – the link is under the Course contact details, to the bottom right. You will also find full details of the programme, including programme structure and Graduate prospects etc.
Professional bodies
Professionally accredited courses provide industry-wide recognition of the quality of your qualification.
- Engineering and Technology, Institution of
How to apply
International applicants
We are proud to be one of the most culturally diverse universities in the UK, with more than 140 nationalities playing a role in university life. Our International Recruitment team are here to help you throughout the application process – from advising on choosing the right course to applying for a visa and preparing for your first few weeks at Surrey. You can contact them via [email protected] Applicants who require a Student Visa to study in the UK: To apply for a Student Visa, you must have a Confirmation of Acceptance (CAS) for the University you wish to study at. This is a unique number which will enable you to apply for your visa. The University is under no legal obligation to sponsor any individual and exercises caution with respect to issuing a Confirmation of Acceptance for Studies (CAS) to avoid risking its status as a Student sponsor. Confirmation of Acceptance to Study (CAS) will be issued in accordance with the Student Route and CAS Issuing Policy, available at: https://www.surrey.ac.uk/apply/policies
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. English language requirements IELTS Academic: 6.5 overall with 6.0 in Writing and 5.5 in each other element.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
FEES:
For current information regarding postgraduate fees, please visit the course page on our website. The link is under Course contact details.
SCHOLARSHIPS AND BURSARIES:
Discover how we may be able to support your postgraduate taught studies with a host of bursaries and scholarships directly from the University of Surrey and external providers:
https://www.surrey.ac.uk/fees-and-funding/scholarships-and-bursaries?field_student_level_value[postgraduate]=postgraduate
Sponsorship information
The University of Surrey offers a range of scholarships and bursaries to support our students, please visit https://www.surrey.ac.uk/fees-and-funding/scholarships-and-bursaries for more details.