Course summary

Important information We are planning to make some changes to our Data Visualisation (PhD) for 2026 entry. Changes are currently undergoing approval through the University's rigorous academic processes. As any changes are confirmed, they will be included on this webpage. It is therefore very important that you check this webpage for the latest information before you apply and prior to accepting an offer. Science, industry and society need people with advanced data visualization capabilities. Studying for a PhD in visualisation at the Centre for Interdisciplinary Methodologies (CIM) at Warwick is an opportunity to undertake world-leading doctoral research and join a cohort of future leaders in data visualization. The Data Visualisation PhD programme provides you with the academic and professional opportunities to develop as an independent, creative and impactful researcher who can contribute to knowledge and research at the forefront of data visualisation and data science research. You will pursue a programme of study consisting of several doctoral level components. These components will ordinarily be in the form of research projects undertaken with either external organisations (commercial, not-for-profit or academic) or internal academic units. You will document and develop your research in interactive digital notebooks in line with best practice in data visualization research and submit your notebook as a digital thesis for examination. Within this PhD, you will join the cohort of EPSRC Diversity in Data Visualization Centre for Doctoral Training, DIVERSE CDTLink opens in a new window that is co-hosted at CIM at Warwick together with City, St Georges, University of London. As well as the interdisciplinary academics at CIM, you will interact with the whole academic team of DIVERSE CDT across the two universities during your studies. CIM is one of the very few places where the development of interdisciplinary methodology is the focus. Data Visualisation is a key research area for several academics at CIM and you will benefit from tailored guidance from academics and professional staff with experience and expertise in the challenges of interdisciplinary data visualisation research and interdisciplinary methods overall. Teaching and learning The PhD Data Visualization requires the completion of a structured programme of research comprising a minimum of two component research projects, a review of visualization research and practice, and a synthesising narrative. Your submitted digital thesis must demonstrate in-depth knowledge and study of the field; originality of thought, either in the creation of new knowledge or in the novel application of existing knowledge; and the suitability of the research for publication in peer-reviewed venues. Supervision will be provided by top academic researchers with significant experience in undertaking research and contributing to methodology development across a range of disciplines, topics, methods. You will be expected to attend subject-specific and generic training across the period of your PhD all four years of the PhD programme. This will include training in data visualization design and production, responsible research, research ethics, equality, diversity and inclusion, intellectual property, and careers development. You will develop the four core areas identified in the Vitae Researcher Development Framework: knowledge and intellectual abilities; personal effectiveness; research governance and organisation; and engagement, influence and impact. As CIM is a research centre, PhD students are exposed and contribute to a vibrant research environment, which includes:

• PhD seminars

• Workshops

• Lectures

• Work-in-progress forums

• Study visits