Menu

Home / About / MPhil and PhD programmes

MPhil and PhD programmes

Graduating students

Graduate Admissions

The Graduate Admissions office provides a range of information on postgraduate programmes at Cambridge, along with a step-by-step guide to the application process.

It is advisable to start researching funding opportunities at least a year before your course begins.

PhD studentships

PhD studentships at the University of Cambridge are advertised at the University's Jobs site. The studentships are listed along with the name of the department hosting the studentship. For a full list of departments and faculties at the University, visit this page where you can learn more about the research interests within each department.

MPhil and PhD course relevant to data science

Particular MPhil and PhD courses relevant to data science are listed below. Please visit the relevant pages, and pay particular attention to the entry requirements and guidance for applicants there:

PhD Opportunities at the Cambridge Centre for Doctoral Training

Please visit the Cambridge Centre for Doctoral Training (CTD) in Data Intensive Science website for further information.

Erasmus exchange programme

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

ATI logo

PhD opportunities at the Alan Turing Institute

Please visit the Alan Turing Institute website for information about studentship and internship opportunities there.

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.