Msc machine learning for visual data analytics with industrial experience electronic engineering

Overview
How can we design smartphones that sense your mood by reading your facial expressions or recognise hand gestures as a way to make a call? How do we develop systems that quickly and reliably analyse medical scans to assist with cancerous tumour diagnosis or improve the safety of self-driving cars with in-vehicle technology able to detect and modify a vehicle’s behaviour in any environment? These are just some of the fascinating questions that you will strive to answer on this programme.
This programme is intended to respond to a growing skills shortage in research and industry for engineers with a high level of training in the analysis and interpretation of images and video. It covers both low-level image processing and high-level interpretation using state-of-the-art machine learning methodologies. In addition, it offers high-level training in programming languages, tools and methods that are necessary for the design and implementation of practical computer vision systems.
You will be taught by world-class researchers in the fields of multimedia analysis, vision-based surveillance, structure from motion and human motion analysis.
This programme will:
Give you experience of working on cutting-edge, live research projects, gaining hands-on experience.
Provide you with the skills and knowledge that will prepare you for a career either in industry or in further research.
Teach you the theoretical knowledge and practical application of methods in Computer Vision and Image Processing.
Give you programming skills in Matlab or C/C++.
School you in sophisticated data collection and analysis techniques.
Industrial Experience.
The industrial placement takes place from the September following the taught part of the MSc and is for a maximum of 12 months. It is a student's responsibility to secure their own placement, but the EECS Placement Team will provide support try, working together on commercial and research projects.
Our research-led approach
Your tuition...