A 4-year PhD training programme in the statistical and computational techniques of data science, with partners from across the University of Bristol, industry and government agencies.

Applications for 2023/24 Entry

The next applications deadline is 16 March 2023, 23:59 (London UK time zone) for the final few fully funded places to start September 2023. For international applications there are limited scholarship funded places available for this final recruitment round. Early applications advised. 

Please refer to instructions in section 'How to Apply to PhD Compass' on our Apply page for information on how to view PhD projects offered for 2023 entry and how to indicate your preference during the application.

Why choose Compass?

Compass CDT offers the opportunity to join a vibrant student community, while undertaking interdisciplinary research and developing the skills and experience to further a career in data science. Find out more about what it means to be a part of the Compass programme from our students and the opportunities the programme offers here

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Compass CDT presentation video Compass CDT Programme

Watch our latest video about the Compass CDT Programme. 

PAI Link

The Postgraduate in Artificial Intelligence Link (PAI-Link) brings together PhD students in Machine Learning, Artificial Intelligence and Data Science across the country. Discover more here

Faculty of Science excels in the Research Excellence Framework (REF) 2021

Bristol’s Faculty of Science has been shown to lead the UK in the most recent national research assessment exercise, REF2021 across its five Units of Assessment (UOAs) according to the Times Higher Education analysis. Read more here


Follow us on the Compass LinkedIn page. 

In order to address some of the complex challenges in developing and supporting methods for the efficient production of official statistics, it is important to attract people with the unique skills, interest and experience that is provided through the rigorous study provided by doctoral research training.

Duncan Elliott, Principal Methodologist, Office for National Statistics

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