Centres for Doctoral Training (CDTs)

What is a CDT?

Centres for Doctoral Training are 4-year programmes, often with a strong focus on interdisciplinary work. The first year involves taught courses as well as mini research projects, seminars, and transferable skills - all in a cohort of 12-16 other students. During this first year you will decide on a suitable research topic, and the remaining three years will be structured in much the same way as a traditional PhD or DPhil. CDT programmes are an excellent way of exploring different interdisciplinary areas based around a central theme, and the cohort structure enables you to make friends and network outside of your college.

EPSRC Centre for Doctoral Training: Mathematics of Random Systems

The CDT Mathematics of Random Systems offers a 4-year comprehensive training programme at the frontier of scientific research in Probability, Stochastic Analysis, Stochastic Modelling, stochastic computational methods and applications in physics, finance, biology, healthcare and data science.

Other University of Oxford CDTs

As a mathematician, you may also be interested in the following CDTs at Oxford:

StatML Centre for Doctoral Training - a joint CDT between the University of Oxford and Imperial College London focusing on statistics and statistical machine learning.

Cyber Security CDT - focusing on cyber security using a variety of toolds and methods, with particular research on security of big data, cyber-physical security, effective systems verification, and real-time security. 

Preparing to apply

For specific course deadlines see the relevant course page or look at the University of Oxford's graduate course pages.

What to expect

A list of our most commonly asked questions as well as our standard answers regarding funding, applications, and graduate study at Oxford. Further enquiries can be directed to graduate.studies@maths.ox.ac.uk.
Please contact us for feedback and comments about this page. Last updated on 29 Apr 2022 12:07.