Our MSc in Mobile Media Communications is offered by a department recognised for its internationally leading research in multimedia signal processing, machine learning and communications. If you’re interested in these fields, and want to receive up-to-date training in emerging technologies, our programme will equip you with skills and knowledge that are highly valued by industry.
By studying at Surrey you have the opportunity to also hear about the latest developments in 5G technology.
The delivery of media content relies on many layers of sophisticated signal processing at the heart of all multimedia systems, which can handle images, video, speech and audio.
Our Mobile Media Communications MSc programme explores the algorithms and intricacies surrounding transmission and delivery of audio and video content. Particular emphasis is given to networking and data compression, in addition to the foundations of pattern recognition.
The programme also covers the core details of mobile communication systems so that a whole system for mediacasting can be learned and understood.
Knowledge of both image and sound processing and a communication system is supported by two strong research centres in the Department that have world-leading knowledge in the field.
|Qualification||Study mode||Course length||Start date|
|MSc||Full-time||12 months||Oct 2018|
There may be opportunities to acquire valuable European experience by working or conducting research abroad during your degree or shortly afterwards. It is possible to do this in the summer period with an Erasmus+ grant working on your dissertation or as a recent graduate. In order to qualify your Erasmus+ traineeship must be a minimum of two months.
To support your learning, we hold regular MSc group meetings where any aspect of the programme, technical or non-technical, can be discussed in an informal atmosphere. This allows you to raise any problems that you would like to have addressed and encourages peer-based learning and general group discussion.
We provide computing support with any specialised software required during the programme, for example, Matlab. The Faculty’s student common room is also covered by the University’s open-access wireless network, which makes it a very popular location for individual and group work using laptops and mobile devices.
Specialist experimental and research facilities, for computationally demanding projects or those requiring specialist equipment, are provided by CVSSP.