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Universities United Kingdom Queen Mary University of London Courses MSc Machine Learning for Visual Data Analytics

MSc Machine Learning for Visual Data Analytics
at Queen Mary University of London

London, United Kingdom

Tuition Fee £ 28,900
Country Rank-
Duration12 Months
Score IELTS: 6.5 TOEFL: 92

Program Overview

As recent developments in computers and sensors make the generation, storage, and processing of visual data easier, methods that enable a machine to analyze and understand images and videos become increasingly relevant, much like those explored in an MSc Data Analytics UK. The advances in this field are behind Google's autonomous vehicles, Facebook's image analysis technologies, and car plate recognition systems. This programme is designed to train engineers to work in the analysis and interpretation of images and video.

Course Content
Modules
- Machine Learning
- Introduction to Computer Vision
- Computer Programming
- Natural Language Processing
- Deep Learning and Computer Vision
Entry Requirement
- A 2:1 or above at undergraduate level in Electronic Engineering, Computer Science, Mathematics or a related discipline.
- Good 2:2 degrees are considered on an individual basis.
Fees & Scholarships
International students:
£28,900 / year
Career Prospect
Your skills and knowledge will be valuable in all industries that require intelligent processing and interpretation of image and video. This includes industries in directly related fields, such as multimedia indexing and retrieval (eg Google, Microsoft), motion capture (eg Vicon), media production (eg Sony, Technicolor, Disney), medical imaging, security and defence (eg Qinetiq), robotics, and industries in related areas that require good knowledge of machine learning, signal processing and programming.

Cost Of Studying At Queen Mary University of London

Interest rates as low as 8.9% ^*

250K+

Students Assisted

800Cr+

Loan Amount Disbursed

5000+

Loans Sanctioned

Check Loan Eligibility

MSc Machine Learning for Visual Data Analytics at Queen Mary University of London