Key information
- Duration: Full-time: 36 months; Part-time: 72 months
- Start dates & application deadlines: Starting September 2026, January 2027, April 2027. Apply anytime. There is no fixed closing date for applications, but decisions on applications will be made as quickly as possible.
Overview
Candidates for the PhD degree from Statistics at Queen Mary University of London should normally have a first or good upper second-class honours BSc in mathematics or statistics, or a more advanced qualification such as MSci, MMath, or MSc.
Visit the programme website for more information
Programme Structure
Courses include:
- Data-driven Image Processing Methods with Applications to Wildlife Conservation
- Multi-modal medical imaging with generative modelling and convergent regularisations
- Bayesian Analysis of Multiple Count Time Series
- Giant cycles in random spaces
- High-dimensional connectivity in random graphs
Admission Requirements
Academic Requirements
GPA: Upper Second Class
English Requirements
- TOEFL iBT: 92
- PTE Academic: 71
- IELTS: 6.5
Other Requirements
General requirements:
- A first-class honours degree in Mathematics or Statistics or the equivalent qualification from an overseas institution. If your qualifications are not from a UK university, QMUL also considers recognised equivalent qualifications from accredited overseas institutions and equivalent professional qualification.
- Ideally you should have a more advanced qualification such as MSci, MMath or MSc, in which case we expect at least an upper second in your undergraduate degree with a merit in your postgraduate degree.
- Specific entry requirements or experience required will be listed on the relevant project page where applicable.
Fees and Funding
Tuition Fees
- International: 54,507 AUD / year (≈ 28,850 GBP / year)
- Domestic: 9,042 AUD / year (≈ 4,786 GBP / year)
Living Costs
London, United Kingdom: 2,148-4,075 AUD / month