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MSc Mobile Media Communications

Course Description

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.

Compulsory modules

- Fundamentals of Mobile Communications
- Speech & Audio Processing & Recognition
- Mediacasting
- 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.

Optional modules

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

Visit the MSc Mobile Media Communications page on the University of Surrey website for more details!

Student Profiles

Discounts for Surrey graduates - No. of awards TBC

If you are a self-funded UK, EU or international student who has studied for an undergraduate degree at the University of Surrey campus in Guildford, you could be eligible for a ten per cent discount on our taught postgraduate Masters programme fees. This scheme is for applicable to Postgraduate Taught entry students only and is reviewed annually.Students who graduated in 2013 are eligible, as well as alumni from previous years, on receipt of evidence of the award from Surrey and where we can identify that you actually studied in Guildford. Students from SII-DUFE are eligible for this scheme.Associated Institution students are not eligible. Not available to modular self-pacing students.

Value of Scholarship(s)

10% tuition fee discount


Self-funded UK, EU or international student who has studied for an undergraduate degree at the University of Surrey campus in Guildford

Application Procedure

If you have any enquiries regarding this matter please contact the Student Fees and Funding Office on [email protected]


GREAT Surrey Scholarships India - 6 Awards

Funded by the University and the UK government’s GREAT Britain campaign, up to six scholarships worth £5,000 (paid in the form of a fee discount) are being offered on postgraduate taught courses from the following subjects:- Chemical and Process Engineering
- Chemistry
- Civil and Environmental Engineering
- Computer Science
- Electrical and Electronic Engineering
- Environment and Sustainability
- Mathematics
- Mechanical Engineering Sciences
- PhysicsWHO CAN APPLY?You can apply for a GREAT Surrey Scholarship if:- You hold a high first-class degree from an Indian university (the minimum requirement is 65 per cent from a prestigious university or 70 per cent from a regional university).
- You hold an offer from Surrey to study any MSc course within the Faculty of Engineering and Physical Sciences, as listed above (you must hold an offer before submitting an application for a scholarship)

Value of Scholarship(s)



The GREAT Scholarship – India programme is aimed at high-calibre Indian students who want to study for a postgraduate programme in engineering.

Application Procedure

To apply, you will need to complete the online form - http://www.surrey.ac.uk/content/great-scholarships-india-2016

Further Information


Entry Requirements

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

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