Skip to main navigationSkip to main content
The University of Southampton
The Alan Turing Institute


Data Science and Artificial Intelligence are evolving rapidly and unpredictably, and research in many disciplines is needed to influence change.

Southampton’s commitment to data science has grown steadily through a series of strategic investments to produce a flourishing multi-disciplinary data science environment.

Turing Fellowship with a sponsored pilot project

This is an opportunity for academics to develop new research ideas aligned with the Turing priorities.

The expectation is that successful, novel Pilot Projects will pave the way to substantial, inter-disciplinary and inter-institutional programmes at the Turing.

Research Groups

The University of Southampton has pioneered theoretical and methodological advances in data science and data-centric engineering through a rich interdisciplinary network of research groups in cross-faculty Web Science, Computer Science, Mathematical and Statistical Sciences, and in collaboration with a range of expert external partners.

Our expertise is transforming the way that data is collected, integrated and converted into knowledge and evidence. Our work informs business, industrial and governmental decision-making, and helps illuminate fundamental questions in the physical, environmental, social and life sciences.


Current Projects

Find out more about our research projects carried out by Turing Fellows and Students.


Trustworthy Autonomous Systems (TAS) Hub

The TAShub aims to establish a collaborative platform for the UK to deliver world-leading best practices for the design, regulation and operation of ‘socially beneficial’ autonomous systems.

Photo by Christopher Burn on Unsplash

Research Centres

Southampton has a number of institutes and centres bringing unique expertise and authority to its broad institutional focus on data science.

Other Projects

Data-centric enginneering programme

Bringing together world-leading academic institutions and major industrial partners from across the engineering sector, to address new challenges in data-centric engineering

Privacy Settings