Computer Vision, Robotics and Machine Learning MSc

Why choose this course?

If you’re intrigued by artificial intelligence, creating machines that can ‘see’, and the application of artificial intelligence to robotics then this Masters is for you. The programme is offered by Surrey’s Centre for Vision, Speech and Signal Processing, which is recognised for its world-leading research in computer vision, multimedia signal processing and machine learning.

What you will study

Our MSc in Computer Vision, Robotics and Machine Learning provides in-depth training for students interested in a career in research-oriented institutions, or in industry, in cutting-edge technology companies focused on deep and machine learning, robotics and automation, and image and video analysis.

This Masters programme covers state-of-the-art computer vision and machine learning approaches for image and video analysis, as well as low-level image processing methods. Students also have the opportunity to substantially expand their programming skills through the projects they undertake.

Course facts

Qualification Study mode Course length Start date
MSc Part-time Oct 2018
MSc Full-time 12 months Oct 2018
Stag Hill

Global opportunities

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

To support your learning, we hold regular MSc group meetings where any aspect of the programme, technical or non-technical, can be discussed in an informal atmosphere. This allows you to raise any problems that you would like to have addressed and encourages peer-based learning and general group discussion.

We provide computing support with any specialised software required during the programme, 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 the Centre for Vision, Speech and Signal Processing (CVSSP).

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

The Centre for Vision, Speech and Signal Processing is world-leading, with over 120 researchers working in the fields of deep learning, computer vision, signal processing and robotics. This cutting edge 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 in our specialisms of space robotics.

Graduate prospects

We link with high tech firms in machine learning, computer vision and gaming including Sony, Microsoft and the broader industry, where skills such as deep learning are in great demand.

Programme leader

COLLOMOSSE JP Dr (Elec Elec En)

Our students

  • Asma Seddaoui, PhD Space Engineering

    "When I found the opportunity to combine my passion and my love through a PhD, I jumped with no hesitation."

    Read more

  • Ben Clewer, PhD Space Engineering

    "Being as this is my seventh year here at Surrey now, apparently I like the place! My ultimate goal is to work on human spaceflight missions, in either the mission concept or design stages."

    Read more

Our graduates

  • Daniel Bamber, MSc Space Engineering

    “I want to be on the leading edge as technology advances and takes us further and further from Earth.“

    Read more

  • Thanat Varathon, MSc Satellite Communications Engineering

    “One of the best things about the course, in my opinion, was the opportunity to experience seminars delivered by guest speakers from satellite companies.”

    Read more

Discover

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.

Modules listed are indicative, reflecting the information available at the time of publication. Please note that modules may be subject to teaching availability and/or student demand.

Timetable

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 course administrators.

Policies and regulations

Please refer to our academic regulations and student policies and regulations. These may be amended from time to time.

Learning and disability support

We have two services, the Student Personal Learning and Study Hub (SPLASH) and Additional Learning Support (ALS) which can help develop your learning.

Student Personal Learning and Study Hub

SPLASH is a learning space in the Library where our learning development team is based. It comprises dedicated Student Learning Advisers and Information Skills Librarians who can assist you in developing your academic and research skills, including writing, presenting, revision and critical thinking.

Find out more about the study support available.

Additional Learning Support

ALS is the University’s disability and neurodiversity service which supports students with disabilities, long-term health conditions, specific learning differences (for example: dyslexia and dyspraxia) and other neurodiverse conditions (for example: autism spectrum and attention deficit disorder).

Students are encouraged to disclose their condition and register with the service so that they can be appropriately supported during their studies.

The ALS team can arrange exam and learning support adjustments, give advice on applications for Disabled Students' Allowance and screen students for dyslexia and dyspraxia. Regular study skills and mentoring support is also provided to students where appropriate.

See the Additional Learning Support website for more information.

Entry requirements

A minimum 2:2 in a UK honours degree (or overseas equivalent) in Electrical or Electronic Engineering, Computer Science, Maths, Physics or a related discipline. Relevant industrial experience may also be considered.

View entry requirements by country

English language requirements

IELTS Academic: 6.5 overall, 6.0 in each component (or equivalent)

We offer intensive English language pre-sessional courses, designed to take you to the level of English ability and skill required for your studies here.

Recognition of prior learning

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.

Fees

Study mode Start date UK/EU fees Overseas fees
Part-time Oct 2018 £1,100* £2,300*
Full-time Oct 2018 £9,800 £20,500

Please note these fees are for the academic year 2018-19 only. Annual fees will rise by four per cent (rounded up to the nearest £100) for each year of study.

View the list of fees for all postgraduate taught programmes.

Funding

Discounts for Surrey graduates

Thinking of continuing your education at Surrey? As an alumnus of Surrey you may be eligible for a ten per cent discount on our taught masters programme fees.

For more details

Surrey International Scholarship for Engineering and Physical Sciences 2018 entry

These university-funded scholarships are worth £2,500 - £5,000 for 2018 entry on select MSc programmes within the Faculty of Engineering and Physical Sciences departments.

For more details

Loans, scholarships and financial support

There are many streams of funding for postgraduate students including awards, scholarships and loans.

For more details

Admission information

Our postgraduate admissions policy provides the basis for admissions practice across the University and gives a framework for how we encourage, consider applications and admit students. You can also read our postgraduate applicant guidance.

Contact us

Admissions enquiries

+44 (0)1483 682 222

admissions@surrey.ac.uk

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