MSc — 2024 entry Computer Vision, Robotics and Machine Learning

Our Computer Vision, Robotics and Machine Learning MSc is designed for those interested in pursuing careers in robotics research, autonomous systems development, computer vision engineering, and related fields. This course will provide you with in-depth training and hands-on learning experiences necessary to succeed in this sector.  

Key course information

Typical offer
2:2 minimum
Start date
September 2024
1 year
UK fees
Overseas fees
Subject area
Computer science
Stag Hill

Why choose
this course?

If you’re intrigued by artificial intelligence (AI), the application of robotics and creating machines that can ‘see’, then this MSc is for you.

You will be 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 most respected vision research groups in the UK.

Find out more information



of our electrical and electronic engineering postgraduate taught students go on to employment or further study (Graduate Outcomes 2023, HESA).


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About the University of Surrey

Need more information?

Contact our Admissions team or talk to a current University of Surrey student online.

Terms and conditions

When you accept an offer to study at the University of Surrey, you are agreeing to follow our policies and procedures, student regulations, and terms and conditions.

We provide these terms and conditions in two stages:

  • First when we make an offer.
  • Second when students accept their offer and register to study with us (registration terms and conditions will vary depending on your course and academic year).

View our generic registration terms and conditions (PDF) for the 2023/24 academic year, as a guide on what to expect.


This online prospectus has been published in advance of the academic year to which it applies.

Whilst we have done everything possible to ensure this information is accurate, some changes may happen between publishing and the start of the course.

It is important to check this website for any updates before you apply for a course with us. Read our full disclaimer.