入学要求 Requirement：
学术要求： A good honours degree in mathematics, computing, physical sciences or engineering disciplines. Our normal entry level is a minimum of a Lower Second or equivalent; however, with industrial experience, we can be flexible in our entry requirements.
英语要求：Non-native speakers of English will normally be required to have IELTS 6.5 or above (or equivalent).
Please note that the University of Surrey offers English language programmes and is also an IELTS Test Centre.
学费 Tuition Fee：2011/2012 13000pounds
课程特征 Course Features
We offer the following MSc programmes in the field of multimedia signal processing systems:
MSc Multimedia Signal Processing and Communications
MSc Multimedia Technology and Systems
MSc Signal Processing and Machine Intelligence
Recently, digital technology and computing have revolutionised the way we access and enjoy information, whether it is for business, security, personal use or entertainment. The delivery of multimedia content to consumers relies on many layers of sophisticated signal engineering that can process images, video, speech and audio.
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, which is complemented by options to study communications systems and audiovisual technology in greater detail.
Signal processing is at the heart of all multimedia systems. Our MSc Multimedia Signal Processing and Communications programme explains the algorithms and intricacies that surround the 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.
One of the prime challenges in the information age is finding the right data to match what you are looking for. Our MSc Signal Processing and Machine Intelligence programme examines ways that 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.
课程内容 Course Content：
Module Overview
This programme is taught over twelve months and split over three semesters. A dissertation project is carried out during the final semester.
MSc Multimedia Signal Processing and Communications
Compulsory Modules
• Data and Internet Networking
• Speech and Audio Processing and Coding
• Image and Video Compression
• Advanced Signal Processing
Optional modules include:
• Image Processing and Vision
• Artificial Intelligence and AI Programming
• Mathematics of Signal Processing
• Speaker and Speech Recognition
• Multimedia Systems and Component Technology
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
AI and AI Programming 15
Advanced Signal Processing 15
Image and Video Compression 15
Speaker and Speech Recognition 15
Data and Internet Networking 15
Semester 3 (June to September)
Semester 2 (June to September) Credits
Dissertation Project 60
教学与评估 Teaching and Assessment：
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 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.
其它信息 Other Information：
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.