Queen Mary - University of London
Department of Electronic Engineering
Digital Music Processing
Master of Science
Programme description One year full-time, two years part-time by distance learning Based on our Digital Signal Processing programmes but incorporating specialist modules and a specialised project, this Masters will help to you to understand not only how today’s audio and music technology works, but also to become a leader in developing the next generations of these technologies. You can choose from modules to follow one or two pathways of study: Digital Music Processing with DSP or with Multimedia. The DSP option delves further into the techniques that can be used for processing, analysis and synthesis. It will provide you with a strong background for further DSP work or research. The Multimedia option incorporates a more general understanding of how music processing is performed in broadcasting systems and in relation to other media. This option also emphasises many of the technical issues currently of concern to industry, such as watermarking, copyright protection, and Internet streaming. Programme outline Core modules: Fundamentals of DSP (1) Advanced Transform Methods Music Analysis and Synthesis Music and Speech Processing Digital Audio Effects (1) Module options: Real Time Digital Signal Processing Digital Broadcasting Design for Human Interaction Multimedia Systems Machine Learning (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.