Research course

Visual Analytics

Middlesex University · Faculty of Science and Technology
MSc by research

Entry requirements

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. 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.

Months of entry

January, September

Course content

Visual analytics is a key requirement of the early 21st century. As our human activity generates rapidly increasing amounts of new data every day, there is an urgent need to make sense of it and a huge potential to elicit new knowledge and insights from it.

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.

Fees and funding

UK students
Full-time: £4,052 Part-time: £2,026 (flat fee per year)
International students
Full-time: £10,500 Part-time: £5,250 (flat fee per year)

Qualification and course duration

MSc by research

full time
12 months
part time
24 months

Course contact details