University of Surrey
Computer Vision, Robotics and Machine Learning
**Why choose this course** If you're intrigued by artificial intelligence, the application of robotics, and creating machines that can 'see', then this masters course is for you. Our MSc in Computer Vision, Robotics and Machine Learning is taught by academics from our Centre for Vision, Speech and Signal Processing (CVSSP). The Centre is internationally recognised for its research in computer vision, multimedia signal processing and machine learning. With a diverse community of more than 120 researchers, they are 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 is well suited to anyone who is interested in a career in research-oriented institutions or pioneering technology companies which focus on deep and machine learning, robotics and automation and image and video analysis. On this course, you will cover advanced computer vision and machine learning approaches for image and video analysis, as well as low-level image processing methods. You will also have the opportunity to substantially expand your programming skills through the projects you choose take on.
MSc: 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.
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. FULL-TIME Year 1 (full-time) 60 CREDIT STANDARD PROJECT - Core COMPUTER VISION AND PATTERN RECOGNITION - Optional FUNDAMENTALS OF DIGITAL SIGNAL PROCESSING - Optional SATELLITE REMOTE SENSING - Optional SPACE ROBOTICS AND AUTONOMY - Compulsory SPEECH & AUDIO PROCESSING & RECOGNITION - Optional ADVANCED SIGNAL PROCESSING - Optional AI AND AI PROGRAMMING - Compulsory IMAGE AND VIDEO COMPRESSION - Optional IMAGE PROCESSING AND DEEP LEARNING - Compulsory ROBOTICS - Optional Optional modules for Year 1 (full-time) - FHEQ Levels 6 and 7 A full-time student must choose: THREE in Semester 1 TWO in Semester 2 NO MORE THAN TWO modules at FHEQ level 6 may be selected Please see our website for PT modules.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||September 2019||-||12 Months|
|MSc||Part-time||September 2019||-||60 Months|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|Main Site||GU2 7XH||South East|
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