FAQ
FAQ & Admissions resources
Where can I ask my questions?
We are holding online Q&A sessions on:
• Tuesday 3rd November 2026 at 09:00 GMT with Prof François Caron, Department of Statistics, University of Oxford. Register here.
• Thursday 26th November 2026 at 12:00 GMT with Prof Ed Cohen, Department of Mathematics, Imperial College London. Register here.
• Tuesday 15th December 2026 at 16:00 GMT with Dr Ciara Pike-Burke, Department of Mathematics, Imperial College London. Register here.
Current StatML students will join the directors to cover a breadth of questions from applicants, ranging from programme specifics to student life. Each session will last 45 minutes and prior registration will be required.
For further questions, you can also reach out to statmlcdt@stats.ox.ac.uk (Oxford) or statml.io.admissions@imperial.ac.uk (Imperial).
Where are students based?
Every student will have a home institution, depending on where they have received and accepted their offer. Students will receive their degree from their home institution. Training and related activities will take place at both institutions, and students will have a travel budget to cover this travel between institutions.
Who qualifies for Home student status?
As stated on the UKRI website: To be treated as a home student, candidates must meet one of these criteria:
- be a UK national
- have settled status
- have pre-settled status
- have indefinite leave to remain or enter
- be an Irish national
If a candidate does not meet one of these criteria, they are treated as an international student.
I am not a native English speaker. How do I know if I need to prove my English proficiency?
Can I apply to both institutions simultaneously?
Yes. Note that the admissions processes at both institutions are distinct and require separate applications.
Do I need to have secured a supervisor before applying?
No. This is not part of our admissions process. You can reach out to academics on our supervisory pool to discuss research and gain insight into StatML if you wish, but there is no advantage in doing so from an admissions perspective.
Do I need a master's degree for this program?
We expect the most competitive applicants to have achieved, or be on track to achieve, a relevant master’s degree at distinction level (or equivalent) and/or some experience working on a research project (which could be as part of your degree or a separate project). However, in exceptional circumstances a bachelor’s degree will be considered.
What research areas were students admitted from in 2026?
In 2026, we admitted students into the following areas:
At Imperial:
- Computational Statistics and Computational Machine Learning
- Time Series, Networks, and Change-point Detection
- Machine Learning for Biomedical and Health Data
- Foundations of Statistics and Machine Learning
At Oxford:
- Machine Learning
- Statistical Methodology
- Protein Informatics
- Statistical Genetics and Epidemiology
In 2027, we expect Finance to be included in Oxford’s recruited research areas.
Contact
If you have any further questions about the application process, please do not hesitate to contact us at statml.io.admissions@imperial.ac.uk (Imperial), statmlcdt@stats.ox.ac.uk (Oxford).