Taught course

Media and Arts Technology by Research

Queen Mary, University of London · Computer Science

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Entry requirements

A 2:1 or above at undergraduate level in Electronic Engineering, Computer Science, Design or a related discipline.

Months of entry


Course content

This new programme aims to produce postgraduates with excellent technical and creative skills, who have a unique vision of how digital technology transforms creative, technical and social possibilities. You will receive training in the full research cycle including identifying a problem, choosing suitable methods to address it (eg, qualitative, experimental, practice-based) and communication of results.

You will develop a critical appreciation of the technical and creative state-of-the art in contemporary applications of digital media. In addition you will learn key technical skills that will enable you to produce new applications of your own. You will then apply this learning to a five-month advanced research project, leading to a thesis.

You will undertake compulsory modules in which you will:

  • learn interactive digital multimedia techniques (including processing, Max MSP, Jitter or Arduino)
  • study interaction and design including user evaluation methods
  • study sound recording and production techniques.

You will also select three courses from a list of advanced options, covering topics ranging from advanced technical and computing skills, intelligent sensing (eg audio, vision) and robotics through human interaction, research methods, and business technology strategy.

Creative programming is at the heart of the programme, so if you have no programming experience, you will be trained in programming in the first two semesters. If you are an experienced programmer, you will have the chance to develop your programming skills further.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

School of Electronic Engineering and Computer Science
+44 (0)20 7882 7333