There are a limited number of places available for the programme starting in October. If you wish to be considered please enter your email address into this form.

We would like to receive applications from individuals who hold (or expect to receive) a masters level degree (or equivalent) in mathematics, statistics, physics, computer science, engineering, or in a closely related subject. 

Whilst the programme is normally intended for full-time study, we welcome applications for part-time study, including from those with established careers or caring responsibilities.

Students are expected to finish the programme within four years and funding is available for this period. It covers fees, and a living stipend that we expect to be about £16,777 per year.

The CDT has several funding sources. Eligibility criteria will apply – and will be different depending on the funding source. Most funding is for UK and EU nationals (see https://epsrc.ukri.org/skills/students/help/eligibility/ for further details on research council funding).  We also anticipate being able to fund a small number of students of any nationality.

For an informal discussion about the programme, you can contact Dr Sarah Filippi at s.filippi@imperial.ac.uk,  Professor Judith Rousseau at judith.rousseau@stats.ox.ac.uk, or the CDT director, Professor Axel Gandy at a.gandy@imperial.ac.uk. It is usually best to start these discussions with one of these contacts via e-mail.

For administrative question, please write to statml.io.admissions@imperial.ac.uk.

We encourage early applications. To ensure consideration in the next admissions round, please apply by 11 February 2019.

Every student will have a home institution (either Imperial or Oxford) and will receive their degree from this institution. Training will take place at both institutions.    

During the admissions process, it will be determined which university (Imperial or Oxford) would be your home institution. You would have to fulfil the language requirements of your home institution. Links to the requirements: ImperialOxford.

  • Send an application to the CDT (see below).
  • Depending on your interests, project availability and funding availability, the CDT will direct you to apply to Oxford and/or Imperial (we will let you know how to do this). 
  • Assessment and interviews will take place once applications have been received through the suggested university.
  • Offers will be made by Imperial or by Oxford (depending on where you have applied to).

Please email your application for funding with attachments (combined in a single PDF file) to statml.io.admissions@imperial.ac.uk. The application should include:

The statement should be 1 to 2 pages long and should describe your academic and career plans as well as your motivation and your scientific interests. When writing your personal statement, please make sure it answers the following questions:

  1. What are your machine learning/statistical interests?
  2. Why do you think the StatML CDT is the right choice for you?
No specific research proposal is required. 

Your CV should include the following information:

  • Full Name.
  • Nationality.
  • Country of normal residence for the past 3 years.
  • Country of permanent residence.
  • All correspondence details (address, email and phone numbers).
  • Dates, institutions and qualifications arising (with grades) from all of your higher and further education (since the age of 17).
  • For those currently studying for a degree, the names of the courses and results that they have achieved so far (percentages as well as grades) and their expected final grade. 
  • Any professional qualifications, internships and research projects done in the past.
  • Employment history.
  • Statement of your fluency in English and (if available) scores of English language tests. 

Please provide all academic transcript(s) via scans of good quality.

Please answer the following questions:

  1. Where have you heard about the CDT?
  2. Have you been resident in the UK for the last 3 years?
  3. Please list your nationalities.
Should you have any further queries regarding the application process please do not hesitate to contact us.
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