Computer Vision, Robotics and Machine Learning
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.
Months of entry
February, October
Course content
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.
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.
Information for international students
We are proud to be one of the most culturally diverse universities in the UK. We 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.
For more information please go to - https://www.surrey.ac.uk/international
Fees and funding
Understand all of the costs involved for your studies.
Find out more about your tuition fees, available scholarships and bursaries, postgraduate taught student finance, how to pay your fees and our top tips on managing your money.
www.surrey.ac.uk/fees-and-funding
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
- part time60 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Admissions
- admissions@surrey.ac.uk
- Phone
- +44 (0)1483 682222