Contact us

This form is for enquiries to the Cambridge Centre for Data-Driven Discovery, including requests for collaboration, enquiries about research at the University of Cambridge or for press and media.

Before contacting us, you might find the answer to your question on these pages:

Collaborations

  • Information on collaborations with the Cambridge Centre for Data-Driven Discovery, including research collaboration, consultancy, recruitment, internships and placements

Mailing list

Recruitment, study and research positions

  • Recruitment enquiries or requests for graduate study or research positions are handled through the University jobs website

Visiting researchers and students

  • Visiting researchers or students looking for a placement should consult the research directory to identify potential supervisors and contact them directly. In order to attend Cambridge as a visiting student you need to make an application to study with a Department or Faculty, and obtain the correct visa. The university provides instructions for Visiting Students on their website at the bottom of this page.

Erasmus exchange programme

  • Information about Erasmus exchange positions, including eligibility and how to apply, can be found on the Erasmus website

Prospective students

  • Prospective students who are interested in studying data science at Cambridge can find information on our courses page

Enquiries

Please provide as much detail as possible with your enquiries.

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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. Our founding partner is Aviva, the UK’s leading insurance company. We work with industrial partners to build a portfolio of collaborative research projects, provide professional development opportunities for their own staff and access to the full breadth and depth of the University’s talent pool in the area of data science.

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.