Overview
About the programme
Statistics is a foundational information science that offers a systematic and coherent mathematical framework for all questions arising in data analysis.
These range from designing experiments and optimally extracting information from observations to predicting new outcomes, uncovering functional relationships and taking decisions.
Statistical methods provide theoretical guarantees of optimality and use probability to represent uncertainty in models and data. This PhD in Statistics is offered by The University of Manchester.
Programme Structure
The Statistics subgroup works in areas ranging from the study of statistical theory, to aspects of applied research, including:
- covariance modelling
- extreme value theory
- generalised estimating equations
- growth curve models
- higher order spectral analysis
- linear and non-linear mixed models
- longitudinal and survival data modelling
- multivariate statistics
- experimental design
- nonparametric density estimation
- nonparametric smoothing
- non-stationary and non-linear time series analysis
- statistical diagnostics and symbolic computation
Key information
Duration
- Full-time
- 36 months
Start dates & application deadlines
- StartingApplication deadline not specified.
- Students need to talk to a supervisor before applying and check the projects’ deadlines.
Language
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Delivered
Campus Location
- Manchester, United Kingdom
Disciplines
Statistics View 35 other PhDs in Statistics in United KingdomWhat students do after studying
Academic requirements
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
- The standard academic entry requirement for this PhD is an upper second-class (2:1) honours degree in a discipline directly relevant to the PhD (or international equivalent) OR any upper-second class (2:1) honours degree and a Master’s degree at merit in a discipline directly relevant to the PhD (or international equivalent).
Tuition Fees
-
International Applies to you
Applies to youNon-residents29900 GBP / year≈ 29900 GBP / year
Living costs
Manchester
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find PhD's scholarship opportunities for Statistics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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