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University of Surrey: Computer Vision, Robotics and Machine Learning
| Institution | University of Surrey View institution profile |
|---|---|
| Department | FEPS - Faculty of Engineering and Physical Sciences |
| Web | www.surrey.ac.uk |
| admissions@surrey.ac.uk | |
| Telephone | +44(0)1483 682222 |
| Study type | Taught |
MSc
Summary
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.
What you will study Our Computer Vision, Robotics and Machine Learning MSc 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in 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 |
| Location | Stag Hill Stag Hill Guildford GU2 7XH |
Summary
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.
What you will study Our Computer Vision, Robotics and Machine Learning MSc 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in 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 |
| Location | Stag Hill Stag Hill Guildford GU2 7XH |
Summary
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.
What you will study Our MSc 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in 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 |
| Location | Stag Hill Stag Hill Guildford GU2 7XH |
Summary
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.
What you will study Our MSc 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in 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 |
| Location | Stag Hill Stag Hill Guildford GU2 7XH |
Summary
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.
What you will study Our MSc 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in 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 |
| Location | Stag Hill Stag Hill Guildford GU2 7XH |
Summary
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.
What you will study Our MSc 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in 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 |
| Location | Stag Hill Stag Hill Guildford GU2 7XH |
Welcome to the University of Surrey, a global community with over 153,000 alumni in 185 countries across the globe.
We’re based in the popular town of Guildford, recently voted the safest student town in England (CUG 2025), just 35 minutes from central London by train. Our beautiful, green campus is home to outstanding learning facilities in every faculty, plus a comprehensive range of student services, a wide choice of accommodation and dedicated support for international students, to help you make the most of university life.
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