- We are interested in people with backgrounds in subjects involving considerable analytic skills, such as Computer Science, Mathematics, Psychology or Physical Science
- Some experience of programming is required, or a willingness to learn prior to embarking on the course.
Visual Analytics is an interdisciplinary activity that requires creativity and technical knowledge and skill. It is a human centred activity and is developing rapidly. There are opportunities for a broad range of specialists to make a productive contribution and a future career.Academic credit for previous study or experience
If you have relevant qualifications or work experience, academic credit may be awarded towards your Middlesex University programme of study. For further information please visit our Accreditation of Prior Learning page.
Interviews, entrance tests, portfolios and auditions
Each application will be considered on its individual merits and suitably qualified candidates will be invited for interview. Successful applicants may enrol to begin their studies at the start of any of the three terms during the academic year.
Months of entry
Why study MSc by Research Visual Analytics at Middlesex University?
World events and phenomena like climate change, 9/11, global finance systems and public health are data rich and increasingly complex. Visual analytics turns large and complex, data sets into interactive visualisations that can prompt visceral comprehension and moments of insight that are compelling and offer an unparalleled richness of possibility for data analysts. In this uncharted world of boundless data, visual analytics is providing our new maps and new ways of navigating. Data analytics is recognised as a key trend that will have a major impact on the IT and Communications industry in the next 5 years
Middlesex University is the recognised centre for excellence in visual analytics the UK and leads the UK Visual Analytics Consortium (UKVAC). This group is working at the leading edge of Visual Analytics and works on a global basis. The UK partners are: Imperial College, University College London (UCL), Swansea, Bangor and Oxford Universities.
We are growing our community of practice in visual analytics and this is a chance to join our team, to work alongside some of the best UK researchers and to get involved in leading edge work. The course will build your professional network, your understanding and your portfolio of experience. Visual Analytics is an interdisciplinary, creative and technical activity. That's why we've built a masters course that is unique. You'll be working for most of the time on your own research and development project, supported by great supervisors, and connecting with new people, theories and practices through workshops that are spread throughout the year. You'll leave with unique insights, strong skills and great contacts; you'll also pick up an MSc along the way.
As a student of this course you'll receive a free electronic textbook for every module.Listen to the course introduction by Professor William Wong
Fees and funding
Qualification and course duration
MSc by research
Course contact details