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.
Facilities, equipment and support
A number of modules on our course are supported by laboratory classes where you’ll gain hands-on experience in artificial intelligence programming and develop 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 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.
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.
Our Department's 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 Surrey Space Centre, building on our specialisms of space robotics.
MSc - Institution of Engineering and Technology (IET).
Accredited by the Institution of Engineering and Technology on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements.
Careers and graduate prospects
We offer careers information, advice and guidance to all students whilst studying with us, which is extended to our alumni for three years after leaving the University.
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.
Academic year structure
If you’re studying this course full-time, you’ll study eight modules across the year – four in each semester. During the first semester, you’ll also apply for and agree on a project with an academic supervisor and begin initial work on the project, before working on it full-time after the end of the second semester. From that point, you’ll have approximately two and a half months to complete the work and write up your dissertation.
You can also study this course part-time, taking between two and five years. The length depends on how many modules you study each year. You can study between two and six modules each year. We recommend part-time students work on their project in their final year of study when all eight modules have either been completed or are near completion.
Modules listed are indicative, reflecting the information available at the time of publication. Please note that modules may be subject to teaching availability, student demand and/or class size caps.
Important: In light of the Covid-19 pandemic, the University has had to change the delivery (and in some cases the content) of its programmes, together with certain University services and facilities for the 2020/21 academic year. These changes include the implementation of a hybrid teaching approach. View detailed information on the changes.
The University operates a credit framework for all taught programmes based on a 15-credit tariff. Modules can be either 15, 30, 45 or 60, 75 and 120 credits, and additionally for some masters dissertations, 90 credits.
The structure of our programmes follows clear educational aims that are tailored to each programme. These are all outlined in the programme specifications which include further details such as the learning outcomes:
Course timetables are normally available one month before the start of the semester. Please note that while we make every effort to ensure that timetables are as student-friendly as possible, scheduled teaching can take place on any day of the week (Monday–Friday). Wednesday afternoons are normally reserved for sports and cultural activities. Part-time classes are normally scheduled on one or two days per week, details of which can be obtained from the Academic Hive. View our Timetabling Policy (PDF).
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.
Do I meet the requirements for this course?
We require you to submit a full application so that we can formally assess whether you meet the criteria published. Unfortunately, we are unable to provide an outcome based on an enquiry (via email, webform enquiry, phone or live chat).
English language requirements
IELTS Academic: 6.5 overall with 6.0 in Writing and 5.5 in each other element.
View the other English language qualifications that we 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.
The University of Surrey recognises that many students enter their higher education course with valuable knowledge and skills developed through a range of professional, vocational and community contexts. If this applies to you, a process called recognition of prior learning (RPL) may allow you to enter your course at a point appropriate to your previous learning and experience, or to join the start of a course without the formal entry requirements. This means that you may be exempt from certain elements of study in the course for which you have applied and be awarded credit based on your previous qualifications/experience. There are restrictions on RPL for some courses and fees may be payable for certain claims.
Please see the code of practice for recognition of prior learning and prior credit: taught programmes (PDF) for further information. Please email Admissions with any queries.
Start date: October 2021
Full-time - 1 year
Part-time - 5 years
- These fees apply to students commencing study in the academic year 2021-22 only. Fees for new starters are reviewed annually.
- If you are on an unstructured self-paced part-time course, the fee shown is per 15 credits for the 2021-22 academic year. The fee payable in subsequent years will be reviewed annually.
There are associated costs with this course:
- Books/stationery/admin: Costs may be incurred associated with the purchase of writing paper and associated stationery.
You may be able to borrow money to help pay your tuition fees and support you with your living costs. Find out more about postgraduate student finance.
Scholarships and bursaries
We're committed to making sure that we offer support for students who might need it.
Study a Master's in Europe Scholarship
Application Deadline: 17.05.21
Find out more
Terms and conditions
When you accept an offer of a place at the University of Surrey, you are agreeing to comply with our policies and regulations, and our terms and conditions. These terms and conditions are provided in two stages: first when we make an offer and second when students who have accepted their offers register to study at the University. View an example of our offer terms and conditions and our generic registration terms and conditions (PDF) as a guide as to what to expect.
Please note: our offer terms and conditions will generally be available in the September of the calendar year prior to the year in which you begin your studies. Our registration terms and conditions will vary to take into account specifics of your course and changes for the specific academic year.
This online prospectus has been prepared and published in advance of the academic year to which it applies. The University of Surrey has used its reasonable efforts to ensure that the information is accurate at the time of publishing, but changes (for example to course content or additional costs) may occur given the interval between publishing and commencement of the course. It is therefore very important to check this website for any updates before you apply for a course with us. Read more.
Further, in light of the COVID-19 pandemic, the University has had to change the delivery (and in some cases the content) of its programmes, together with certain University services and facilities for the academic year 2020/21. These changes include the implementation of a hybrid teaching approach during 2020/21. Detailed information on all changes is available at our dedicated course changes webpage. This webpage sets out information relating to general University changes, and will also direct you to consider additional information relating to specific programmes.