High Performance Computing Service

High Performance Computing Service

The primary mission of the High Performance Computing Service (HPCS) is the delivery and support of a large HPC resource for use by the University of Cambridge research community. The principal facilities consist of a large CPU compute cluster (Darwin) and a world-leading energy efficient GPU compute cluster (Wilkes). We welcome users from all disciplines within the University and of all levels of experience. The HPCS also provides one component of the DiRAC distributed supercomputing facility funded by STFC.

Please visit the website for more information. 

Research Data Management

There is an increased emphasis on managing and sharing data produced in research. Many of the research funders supporting work at the University of Cambridge require that research data are openly available with as few restrictions as possible.

The University of Cambridge Research Data Management team offers support for researchers in managing their research data and ensuring compliance with funder policies on open data. Visit the Research Data Management website for information on research data management, guidelines and advice on complying with open data mandates from funding bodies., as well as assistance with uploading your data into the University's open data repository.

Training resources

Training resources

(To suggest a course for inclusion on this list please contact

The Statistics Clinic

Established in 2009, the Statistics Clinic aims to offer free statistical consulting services to all university members.  Once a fortnight during term, and monthly during vacations, statisticians are available to meet with researchers (graduate students and research staff), to provide advice on questions relating to uncertainty, hypothesis testing, data modelling and inference in a friendly environment.

See here for more details.

Social Science Research Methods Centre

The training programme offered by SSRMC is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills, at both basic and more advanced levels; skills that are relevant across the social sciences.

For more information, visit the website.

Training in bioinformatics and computational biology

The Bioinformatics Training Facility of the School of Biological Sciences offers a broad range of undergraduate and postgraduate hands-on training courses focused on bioinformatics and computational biology. These training activities aim at enabling life scientists to effectively handle and interpret biological data.

Visit their website ( for more information.

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science. The Centre is funded by a series of collaborations with partners in business and industry which have an interest in using data science for the benefit of their customers and their organisations.

With unprecedented access to increasing volumes of data, our research ranges from the underlying fundamentals in mathematics and computer science, to data science applications across all six University Schools of Arts and Humanities, Biological Sciences, Clinical Medicine, Humanities and Social Sciences, Physical Sciences, and Technology.

In parallel, our research addresses important issues around law, ethics and economics, in order to apply data science to solve challenging problems for society.

C2D3 supports collaboration and knowledge transfer in this growing field.

Join us.