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Data Intensive Science encompasses a wide range of areas in the field of 'big-data', including the collection, storage and analysis of large datasets, as well as the use of complex models, algorithms and machine learning techniques to interpret the data.
The CDT's vision is to provide a unique studentship experience that will produce highly trained and employable PhD graduates with advanced and widely applicable skills in DIS, who will ultimately become the future leaders of this field in both academia and industry. In addition, by bringing together DIS experts from a range of sectors and fields, it will promote the development of new DIS techniques or the application of existing techniques to new areas, which will have a wide and significant impact on all sectors.
Applications deadlines:
Applications for the September 2025 intake are now open with projects advertised on the Available PhD Projects page. The most important dates and deadlines are outlined below:
- Application deadline international students (to be considered for UCL scholarship opportunities): 10th January, 2025
- Application deadline home students: 27th January, 2025
- Q&A session: ~5th February, 2025
- Interviews: 10th - 12th February, 2025
Details of how to apply can be found on the How To Apply page.
If you would like to receive updates about the CDT application process (e.g., if new projects are added or reminders about deadlines), please fill out the following form:
Register here to be contacted with updates on the DIS CDT application process for 24/25
For an overview of the DIS CDT, we organised an Open Day at UCL on Wednesday, 29th November 2023. You can access a recording of the session, which provides valuable information about the program, via this link: Open Day Recording.
Please get in touch with us for further details at dis-cdt-phd-admissions@live.ucl.ac.uk.
Ready for a high-flying career in academia or industry, whatever you decide suits you best at the end of your PhD studies.
We have been at the forefront of DIS research for several decades and provide the ideal training ground for DIS.
A specially designed with the aid of our partner organisations, providing a strong theoretical and practical grounding
How the Data Intensive Science CDT differs from a traditional PhD and what our students can expect
Current students already work on projects in many of the world’s leading HEP experiments...
The UCL Centre for Doctoral Training (CDT) in Data Intensive Science (DIS) is STFC's first-ever supported CDT. The Centre was established in 2017 and carries out research primarily in STFC's flagship DIS projects in Particle Physics and Astronomy, which have been at the forefront of DIS research for several decades and provide the ideal training ground for DIS for PhD students in this space.