MA Data Visualisation is delivered across four terms, starting in September and finishing in December the year after. Incorporating a summer break, this is a one-year full-time course (45 taught weeks), delivered over 15 months.
Data visualisation research and practices
Through the engaging with key texts, projects and practioners in a series of lectures and seminars you will develop the knowledge and understanding to situate your data visualisation practice within the broader discipline, with reference to related fields such as data science and graphic design.
Visualisation tools, datasets and data stories
Through a series of workshops in fundamental design principals such as typography, visual language and colour you will develop your information design practice. In parallel technical workshops will allow you to explore and experiment with tools and software from processing to prototyping. Working with large data sets you’ll develop your understanding of the practice of visualisation as a means of both exploring and explaining with data. Collaborative projects developed with industry-based practioners will support you producing a variety of experimental and finished outcomes.
In the collaborative unit you will work with fellow students and/or external partners and practioners to collaboratively produce a project outcome. This unit is designed to enable you to identify, form and develop collaborative working relationships with a range of potential partners in the field of data visualisation.
The major project
In the first and second terms a series of workshops, seminars and tutorials will support you developing a major project proposal. Engaging with the social and ethical dimensions of data visualisation practice you'll produce a final major project and a critical visual report that will give you the opportunity to engage in a major research-led project. Here the emphasis will be on defining, analysing and developing an individual and focused approach to a data visualisation related problem, subject, question or issue.
The information outlined is an indicative structure of the course. Whilst we will aim to deliver the course as described on this page, there may be situations where it is desirable or necessary for the University to make changes in course provision, for example because of regulatory requirements or operational efficiencies, before or after enrolment. If this occurs, we will communicate all major changes to all applicants and students who have either applied or enrolled on the course.
Please note that due to staff research agreements or availability, not all of the optional modules listed may be available every year.
In addition, the provision of course options which depend upon the availability of specialist teaching, or on a placement at another institution, cannot be guaranteed. Please check this element of the course with the course team before making a decision to apply.
We will update this webpage from time to time with new information as it becomes available. In the meantime, if you have any questions, please contact a member of the course team.