Mobile Media Communications MSc

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.

Why Surrey?

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.

Programme overview

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.

Why not read about past and present student experiences of our electronic engineering programmes, including Christopher Lord, Christos Merkouris and Prashant Butani?

Module overview

Programme structure

C - Compulsory, O - Optional
Modules Credits MSc
Speech and Audio Processing and Recognition 15 C
Image and Video Compression 15 C
Fundamentals of Mobile Communications 15 C
Mediacasting 15 C
Advanced Signal Processing 15 O
Image Processing and Vision 15 O
Internet of Things 15 O
Object-Oriented Design & C++ 15 O
Artificial Intelligence and AI Programming 15 O
 Digital Signal Processing 15
 Mobile Applications and Web Services 15
MSc Project 60 C

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).

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.

Professional recognition

The Institution of Engineering and Technology

Our full-time and part-time programmes are accredited by the Institution of Engineering and Technology (IET). They can be used in partial fulfilment of the requirements for gaining Chartered Engineer (CEng) status, and are countable under the continuing professional development (CPD) scheme.

Related programmes

Postgraduate (Taught)

Professional development

Related departments/schools

Related research areas

Programme leader

Professor Miroslaw Bober

Find out more

General enquiries:

+44 (0)1483 681 681

Admissions enquiries:

+44-(0)1483-682-222

admissions@surrey.ac.uk

Programme facts

Type of programme:

MSc

Programme length:

  • Full-time: 12 months
  • Part-time: 60 months

Start date:

Sep 2016

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.

View entry requirements by country

English language requirements

IELTS minimum overall: 6.5

IELTS minimum by component: 6.0

We offer intensive English language pre-sessional courses, designed to take you to the level of English ability and skill required for your studies here.

Fees

Study mode Start date UK/EU fees Overseas fees
Full-time Sep 2016 £8,000 £18,000
Part-time Sep 2016 £900* £2,000*

Please note these fees are for the academic year 2016/2017 only. Annual fees will rise by four per cent (rounded up to the nearest £100) for each year of study.

A complete list of all fees for our Masters Programmes

Funding

Discounts for Surrey graduates

Thinking of continuing your education at Surrey? As an alumnus of Surrey you may be eligible for a ten per cent discount on our taught Masters programme fees. Learn more.

For more details

GREAT Surrey Scholarships India

For for all postgraduate taught courses starting in September 2016 within the Faculty of Engineering and Physical Sciences, the University is offering graduates from India the opportunity to apply for one of six scholarships worth £5,000 through the GREAT Scholarships - India programme. Download a flyer or read more for eligibility and to apply.

For more details

Admissions Information

Our Admissions Policy provides the basis for admissions practice across the University and gives a framework for how we encourage, consider applications and admit students.

Further information for applicants

Postgraduate Study Advice

Steps to Postgraduate Study is an official, independent guide for anyone considering a taught postgraduate course. The guide is produced by the Higher Education Funding Council for England (HEFCE), the Higher Education Funding Council for Wales, the Scottish Funding Council and the Department for Employment and Learning, Northern Ireland.

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Disclaimer

Modules listed are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.

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