Multimedia Signal Processing Systems
- Programme director
- Josef Kittler
- Programme length
- Full-time: 12 months, Part-time: 48 months
- Programme start date
- September 2013
We offer the following MSc programmes:
- MSc Multimedia Signal Processing and Communications
- MSc Multimedia Technology and Systems
- MSc Signal Processing and Machine Intelligence
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.
Signal processing is at the heart of all multimedia systems. Our MSc Multimedia Signal Processing and 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.
The core modules in our MSc Multimedia Technology and Systems programme cover the fundamentals of how to represent speech, audio, image and video information digitally, including processing, coding and compression techniques. An important aspect of the programme is the software architecture of such processes, complemented by options to study communications systems and audiovisual technology in greater detail.
Our MSc Signal Processing and Machine Intelligence programme examines ways in which man-made systems have developed to extract relevant information from digital data streams. Along with a basis of image and audio processing, it provides a grounding in artificial intelligence, with related elements that include, for example, voice recognition and neural networks.
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
Fees and funding
All fees are subject to increase or review for subsequent academic years. Please note that not all visa routes permit part-time study and overseas students entering the UK on a Tier 4 visa will not be permitted to study on a part-time basis.
| Programme name | Study mode | Start date | UK/EU fees | Overseas fees |
|---|---|---|---|---|
| MSc Multimedia Signal Processing and Communications | Full-time | Sept 2013 | £6,720 | £15,765 |
| MSc Multimedia Signal Processing and Communications | Part-time | Sept 2013 | £560 per 15 credits | £1,310 per 15 credits |
| MSc Multimedia Technology and Systems | Full-time | Sept 2013 | £6,720 | £15,765 |
| MSc Multimedia Technology and Systems | Part-time | Sept 2013 | £635 per 15 credits | £1,310 per 15 credits |
| MSc Signal Processing and Machine Intelligence | Full-time | Sept 2013 | £6,720 | £15,765 |
| MSc Signal Processing and Machine Intelligence | Part-time | Sept 2013 | £635 per 15 credits | £1,310 per 15 credits |
Funding
For overseas fee-paying students, we offer a scholarship of £1,200 if you have a UK first-class bachelor’s degree or equivalent (at our Admission Tutor’s discretion). This scholarship is paid in two instalments in arrears during your study period with us.
Programme content
MSc Multimedia Technology and Systems
Compulsory Modules
- Advanced Signal Processing
- Multimedia Systems and Component Technology
- Speech and Audio Processing and Coding
- Image and Video Compression
Optional modules include:
- Mathematics of Signal Processing
- Image Processing and Vision
- Artificial Intelligence and AI Programming
- Speaker and Speech Recognition
- Data and Internet Networking
MSc Signal Processing and Machine Intelligence
Compulsory Modules
- Image Processing and Vision
- Speech and Audio Processing and Coding
- Advanced Signal Processing
- Artificial Intelligence and AI Programming
Optional modules include:
- Mathematics of Signal Processing
- Image and Video Compression
- Multimedia Systems and Component Technology
- Data and Internet Networking
- Speaker and Speech Recognition
Programme Timetable
The table below shows when each module will take place. The modules that you take will depend on which of the three programmes you study and the optional modules you select.
Semester 1 (October to January) | Credits |
| Image Processing and Vision | 15 |
| Mathematics of Signal Processing | 15 |
| Multimedia Systems and Component Technology | 15 |
| Digital Communications | 15 |
| Speech and Audio Processing and Coding | 15 |
Semester 2 (February to May) | Credits |
| Artificial Intelligence and AI Programming | 15 |
| Advanced Signal Processing | 15 |
| Image and Video Compression | 15 |
| Speaker and Speech Recognition | 15 |
| Data and Internet Networking | 15 |
Summer (June to September) | Credits |
| Dissertation Project | 60 |
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 Socrates programme.
Recent projects include:
- Facial expression recognition
- Fusion of multimodal biometrics
- Illumination invariant face recognition
- Single-channel speech source separation
- Interactive user interface to a large-scale image collection
- Face recognition via non-negative sparse coding
- Auditory morphing of speech signals
- Hazard detection and obstacle avoidance for autonomous mobile rovers
- Automatic counting of people in images of crowds
- Reading writing for robots
- Scene recognition
- Real-time 3D capture and visualisation
- Tamper-proof audio watermarking
- Omnidirectional vision
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 projects 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 Department’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 the Centre for Vision, Speech and Signal Processing (CVSSP).
Professional accreditation
The programme is accredited by the Institution of Engineering and Technology (IET) and as such can be used in partial fulfilment of the requirements for gaining Chartered Engineer (CEng) status.
As an Institution of Engineering and Technology-accredited institution, our programmes are countable under the continuing professional development (CPD) scheme.
Pathway to a successful career
Students graduating from these MSc pathways can expect to find employment in a diverse range of media-related and advanced technology industries. The demand for such graduate engineers reflects the UK’s status as a world leader in the media production business, with music and film post-production and games development recognised internationally and second only in size to the USA.
Our location is perfectly placed to benefit from the high concentration in London and the South East of companies involved in media production, broadcast, post-production, games, defence systems, biometric and surveillance systems, and computer vision, and major international consumer electronics companies.
Department links
Contact us
For general enquiries
0800 980 3200 or +44 (0)1483 681 681
For admissions enquiries
+44 (0)1483 686 069
