Study Statistics Research MPhil/PhD at King's College London, University of London in the UK, Natural, Mathematical and Engineering Sciences
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Statistics Research MPhil/PhD

UK

23

What will I learn?

Our internationally renowned department fosters an innovative and intimate research environment. We welcome PhD students from around the world working on a broad range of topics. This PhD sits within the Statistics Group at King’s, a growing area of research in the Department in response to the increasing importance of data in our world. The group has research strengths in the design and analysis of experiments, time series, Markov chain Monte Carlo and sequential Monte Carlo methods. We have a wide range of research opportunities, from Design of experiments, Functional Analysis, and Computational Methods to Time Series Analysis, Bayesian and Nonparametric Methods.

Which department am I in?

Natural, Mathematical and Engineering Sciences

Study options

Full Time (3 Years)

Tuition fees
£28,000.00 (US$ 36,160) per year
This is a provisional fee yet to be approved
Application deadline

Expected October 2027

Start date

February 2027

Venue

Main Site

Strand,

London,

Greater London,

WC2R 2LS, Southern England, United Kingdom

Full Time (3 Years)

Tuition fees
£28,000.00 (US$ 36,160) per year
This is a provisional fee yet to be approved
Application deadline

01/02/2027

Start date

June 2027

Venue

Main Site

Strand,

London,

Greater London,

WC2R 2LS, Southern England, United Kingdom

Entry requirements

For international students

The official minimum entry requirements are a Bachelors degree with 2:1 honours (or equivalent). In practice, applicants will normally be expected to have an MSc, MMath, MSci or equivalent degree with merit/2:1 honours (or equivalent) and high grades in modules relevant to the research area. Applications from women, disabled and minority candidates are encouraged, as are applications from individuals with non-standard backgrounds (e.g., those from industry or returning from a career break).

*There may be different IELTS requirements depending on your chosen course.

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