Our MSc in Mobile Media Communications is offered by a Department recognised for its internationally-leading research in multimedia signal processing and artificial intelligence. If you are interested in these fields, and want to receive up-to-date training in emerging technologies, our MSc will equip you with the skills and knowledge highly valued by industry.
From revolutionary approaches in spacecraft design and ingenious communications systems to nanostructures with incredible properties and the manipulation of light itself, our research in electronic engineering is at the most exciting edge of technological innovation.
Visit the website http://www.surrey.ac.uk/postgraduate/mobile-media-communications
Digital technology and computing have revolutionised the way we access and enjoy information, whether for business, security, personal use or entertainment. The delivery of multimedia content relies on many layers of sophisticated signal engineering that can process images, video, speech and audio - and signal processing is at the heart of all multimedia systems.
Our Mobile Media Communications programme explains 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.
- Fundamentals of Mobile Communications
- Speech & Audio Processing & Recognition
- Image and Video Compression
This module introduces you to basic notions of rate-distortion theory applied to the compression of digitised still images and moving sequences. The course also provides you with high-level descriptions of mainstream algorithms for coding and error resilience, and offers an overview of the main features, components and algorithmic tools involved in current international standards for image and video compression and error resilience.
Image Processing and Vision
This module offers you an introduction to image processing and computer vision for the science and technology of machine vision. It provides background and theory for building artificial systems that manipulate videos and images, and alter or analyse their information content.
Artificial Intelligence and AI Programming
The aim of this module is to introduce you to ideas and concepts underpinning the development of artificially-intelligent machine systems. You will be taught about the programming language suited to the implementation of such systems.
Data and Internet Networking
This module provides you with an in-depth treatment of current and evolving internet standards. On the course you will be taught about principles, algorithms, protocols, services and standards used for internet-based networked communications.
Advanced Signal Processing
On this module, you will be taught about the concepts of statistical and adaptive techniques in the detection, filtering and matching of signals in noise. By the end of the course, you will be able to manipulate mathematical models to solve problems and predict effects, and you will appreciate how these techniques apply to machine perception.
- Digital Signal Processing
- Internet of Things
- Object-Oriented Design & C++
- Mobile Applications and Web Services
Dissertation and Projects
The summer dissertation projects provide an opportunity for you to apply material learnt during the previous two semesters and to develop a detailed knowledge of a particular area.
The dissertation projects have strong industrial relevance by drawing on EU- or industry-funded research and development carried out in the Centre for Vision, Speech and Signal Processing (CVSSP) (http://www.surrey.ac.uk/cvssp/
They will cover various applications areas, including 3D broadcast production, biometrics, video archive restoration, security and surveillance systems, image and video database retrieval, speech recognition, machine audio perception, biomedical image processing and robotics.
The projects may be based at the University or in industry. There are also opportunities for carrying out the project work at collaborating academic institutions in the EU under the Erasmus programme.
Teaching and assessment
Our taught programme structure provides a judicious mix of theoretical and applied topics delivered over two semesters through lectures, assignments and laboratory exercises. The assessment of these taught modules is through formal examinations at the end of Semesters 1 and 2.
The pass mark is set at 50 per cent for each module, representing a combination of the formal examination and any associated coursework or lab marks. An overall average, aggregated over all of the assessed modules, in excess of 70 per cent achieves a Pass with Distinction.
Projects are selected during the first semester from a broad list and are primarily undertaken between June and September. Following the spring examinations, usually staggered over May and June, you will concentrate on your MSc project.
You will usually meet with your project supervisor either weekly or fortnightly to discuss your project. There is a mid-term assessment based at the University where you will orally present your project to an assessment panel. This provides you with feedback on your progress and suggestions for ongoing development.
You will produce a formal MSc dissertation and will also be assessed at a viva voce examination in late August or early September.
Facilities, equipment and support
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.
Find out how to apply here - http://www.surrey.ac.uk/apply/postgraduate
An honours degree in electronic engineering, mathematics, computing or physical sciences. Our minimum entry level is a 2.2 from a good UK university, or overseas equivalent. Relevant industrial experience will also be considered. ENGLISH LANGUAGE REQUIREMENTS: IELTS minimum overall: 6.5; IELTS minimum by component: 6.0