DPhil in Statistics
A research-based course focused on advanced topics such as probability, statistical methodology, machine learning, protein informatics, statistical genetics, epidemiology and data science, culminating in a thesis that contributes original research to the field.
Full time
- Upcoming application deadline for 2027-28 entry:
- 12:00 midday UK time on Wednesday 6 January 2027
- Expected length
- 3-4 years
- Expected start date
- October 2027
- English language level
- Standard level required
Application deadlines
Final application deadline for Oxford scholarships
Expected to be the final application deadline
After the final application deadline has passed, this course may remain open or reopen if places are available.
About the course
The Department of Statistics in the University of Oxford is a world leader in research in computational statistics and machine learning, statistical theory and methodology, econometrics and population statistics, probability, protein informatics, statistical genetics and epidemiology, and computational biology and bioinformatics. Oxford’s Mathematical Sciences submission came first in the UK on all criteria in the 2021 Research Excellence Framework (REF). The department occupies a recently refurbished building in the centre of Oxford.
Much of the department’s research is either explicitly interdisciplinary or draws its motivation from a range of application areas.
In addition to undertaking a substantial piece of research, you will be expected to acquire transferable skills as part of your training, and to undertake broadening training outside your specialist area. Part of that broadening training may be obtained through APTS, the Academy for PhD Training in Statistics; this is a joint venture with a group of leading university statistics departments which runs four weeks of appropriate courses a year. You will give a research presentation or prepare a research poster each year in the department. There may also be opportunities to undertake industrial internships as appropriate.
You will be expected to teach approximately 12 contact hours per year in undergraduate and/or graduate courses in the department. This is mentored teaching, beginning with simple marking, to reach a point where individual students are leading whole classes of 10 to 12 undergraduate students.
The department runs a weekly seminar series in statistics and probability. Several reading groups run each term, reading and discussing research papers on a particular topic.
Graduate training is an important part of the department's research mission. Formal lecture courses are also available, for example from the MSc in Statistical Science, from the fourth-year undergraduate courses in mathematics and statistics, and from the Centres for Doctoral Training. The MPLS Graduate School offers an extensive range of courses for graduate research students throughout the academic year, including academic subjects and skills; research skills and techniques; ethics and intellectual property; transferable, professional and personal effectiveness skills; and communication, interpersonal and teaching skills.
Departmental seminars and colloquia bring research students, together with academic and other research staff, to hear about on-going research, and provide an opportunity for networking and socialising. You will be encouraged to participate in social events and to take part in public engagement. The department also offers career development events.
Research areas
You will have the opportunity to undertake research within the specialised themes of this course.
Course details
Entry requirements
For entry in 2027-28