Queen Mary - University of London

Department of Electronic Engineering

Digital Signal Processing



Program Information

Degrees Offered:

Master of Science

Format: Campus

Program Description:

Programme description One year full-time, two years part-time by distance learning This programme is specifically intended to respond to a growing skills shortage in industry for engineers with a high level of training in signal processing, and to support Internet, multimedia, broadcast, communications, and consumer industries. You will develop core knowledge of basic DSP theory and its implementation in hardware. In addition you will be able to specialise in areas including multimedia and intelligent signal processing. The taught modules are fully supported, with computing and laboratory work. The MSc is intended for graduates in a related discipline, who wish to enhance and specialise their skills in the area, and also for industrialists with some experience of working with signal processing in the IT sector, who wish to obtain a formal qualification. Programme outline Core modules: Fundamentals of DSP (1) Advanced Transform Methods Multimedia Systems Music And Speech Processing Image And Video Processing Machine Learning Module options: Real Time Digital Signal Processing Digital Broadcasting C++ For Image Processing (1) = This module is taken in the first year of part- time by distance learning study. Please note module availability is subject to change. Assessment All modules are examined through a combination of coursework and written examinations taken in May/June. To obtain an MSc, students must gain passes in six of the eight modules taken with an overall average of 50 per cent. In addition to the above, the MSc requires that a satisfactory individual project be completed. MSc students who do not pass the written examinations are only allowed to attempt the project after passing resit examinations the following May. Entry requirements You should have a first or upper-second class degree in Electronic Engineering, Computer Science, Mathematics, or a related discipline. Have good Java programming skills gained at Undergraduate degree level. Applicants with unrelated degrees will be considered if there is evidence of significant industrial experience. Applicants with lower-second class degrees may be considered if the undergraduate degree specialised in relevant subjects. Applicants should also have completed an undergraduate programme in at least one of the following areas: Signal Processing, Control or Analogue Filters. For international students, please refer to the International Students section.


Accredited University

Facts & Figures

International Financial Aid: No

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