Machine Learning for Visual Data Analytics MSc

Reino Unido

2

¿Qué aprenderé?

As recent developments in computers and sensors make the generation, storage and processing of visual data easier, methods that enable a machine to analyse and understand images and videos become increasingly relevant. 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.

Undertake high-level training in programming languages, tools and methods necessary for the design and implementation of practical computer vision systems.

Be taught by world-class researchers in the fields of multimedia analysis, vision-based surveillance, structure from motion and human motion analysis.

Work on cutting-edge research projects, gaining hands-on experience.

This course will enable students to study cutting-edge technologies in the field of machine learning for visual analytics, and will provide them with the background and skills they need to pursue careers in research or industry. Course content covers:

Fundamental methods and techniques in computer vision, machine learning and image processing.

Programming tools, languages and techniques for the application of machine learning methods to analyse visual data.

Methods and techniques for systems and applications.

The programme is taught by academics from the Computer Vision and Multimedia and Vision research groups. The groups consist of a team of more than 100 researchers (academics, post-docs, research fellows and PhD students) performing world-leading research into the fields of surveillance, face and gesture recognition, multimedia indexing and retrieval and robotics.

Career paths

Your skills and knowledge will be valuable in all industries that require intelligent processing and interpretation of image and video. This includes multimedia indexing and retrieval (eg Google, Microsoft), motion capture (eg Vicon), media production (eg Sony, Technicolor, Disney), medical imaging, security, defence (eg Qinetiq) and robotics, as well as other industries that require good knowledge of machine learning, signal processing and programming.

A number of our academics have common research projects with industrial partners such as Disney, BBC, Technicolor and STMicroelectronics, and take on consultancy work within the industry.

You will also be ideally placed to pursue further research and PhD studies.

¿En cuál departamento estoy?

School of Electronic Engineering and Computer Science

Opciones de estudio

a tiempo completo (1 )

Costos de estudio
£28.900,00 (US$ 36.396) por año
Esta es una tarifa fija

*Ver detalles en la página web de la institución

Aplicaciones hasta

Esperado September 2024

Fecha de inicio

16 Septiembre 2024

Lugar

Mile End

Mile End Road,

Tower Hamlets,

London,

E1 4NS, England

Puede haber diferentes requisitos de IELTS en función del curso elegido.

AÑADIR A MIS FAVORITOS

Acerca de Queen Mary University of London

Los estudiantes de todos los orígenes disfrutarán de una educación excepcional y de toda la cultura de Londres, si eligen estudiar en Queen Mary.

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  • Un cuerpo estudiantil excepcionalmente diverso
  • Excelentes instalaciones con mucha inversión
  • Ha formado a 6 ganadores del Premio Nobel

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