We focus on developing new statistical methodology to support applied health research in the UK and globally, especially with a view to clinical trials.

As well as producing new thinking about human experience, we influence scholars, practitioners and stakeholders through creative and ambitious training.

Our research encompasses a range of academic disciplines, including the physical and social sciences and the arts and humanities.

We are a web-based database of labour market statistics including employment, unemployment, earnings and annual population survey.

Our interests range from probability theory, through statistical methodology and computation, to substantive applications in many different fields.

Visual Computing comprises the development of algorithms that span all aspects of computer-based visual sensing and image interpretation.

We research the generic methodological, algorithmic, and theoretical challenges that underpin computer simulations and the analysis of numerical data.

Our vision is to deliver 'better, fairer health and care at all ages and in all places' organised around seven key research themes.

Supports research teams to develop and submit high-quality applied health and social care grant applications to NIHR and other national programmes.

We provide an interdisciplinary environment for the development of innovative research methods and for methods training.

We combine themes of high interest in the world today with real-life applications. AIHS already boasts connections to the industry.

We are a central hub for high-quality research in Artificial Intelligence (AI), Machine Learning (ML) and Data Analytics (DA).

We span a wide area of research underpinning the fundamental theory, practical systems and applications of networks and distributed computing.