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We have 13 Statistics PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Bath
Statistics PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Bath
We have 13 Statistics PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Bath
A PhD in Statistics focuses on mastering the mathematical framework behind data analysis. You will be researching processes that help understand data and assess risks. Even though Statistics contains a major component of theoretical maths, it has plenty of application in other fields like Physics, Biology or Finance.
What’s it like to do a PhD in Statistics?
On a PhD level, you’ll be using your existing knowledge of the models and methods in Statistics to work on a unique project that offers significant contribution to the field. Statistics is a vast area of study and you can look at one of some of these popular research topics in Statistics:
- Bayesian statistics
- High dimensional data
- Computation techniques
- Extreme value theory
- Probability theory
- Wavelets
Statistics also has applications in other areas like Biology, Medicine, Finance or Physics. You can, therefore, also decide to focus on a particular application of Statistics. For example, you can have a special focus on statistics within biomedical or social science.
Akin to many other STEM subjects, Statistics PhDs are usually advertised with a research objective. You can also propose your own research projects and they might be considered if they meet the over-arching objectives of the department.
In the UK, a PhD will end with submitting a thesis of around 80,000 words followed by an oral examination where you will defend your research in front of an academic panel. It is also likely that you’ll be asked to enroll as an MPhil student at the beginning of your programme. You can upgrade to a PhD, after a review at the end of the first year, if your supervisor feels your work meets certain standards
Since a PhD is a purely research-based degree, there are no compulsory teaching hours. You’ll work on a mutually decided schedule with your supervisor. However, because of the transdisciplinary nature of the field of Statistics, you might be encouraged to take on some taught modules, that cover certain transferable skills, in your first year.
Entry requirements
If you’re looking to do a PhD in Statistics, you’ll need to have completed a Masters (with Merit or Distinction) in a mathematical subject. Some research programmes may also accept degrees in subjects like Physics, Engineering or Computer Science, provided they have a major mathematical component.
Depending on where you choose to apply, you may also need to show that you have a level of language proficiency in your university’s language of instruction
PhD in Statistics funding options
In the UK, the Engineering and Physical Sciences Research Council (EPSRC) funds PhDs in Statistics. They offer fully funded studentships and a monthly stipend to UK students. PhDs are usually advertised with the funding attached and you’re automatically eligible for it if you’re successful in your application.
If you are an international student, you have the option of the EPSRC PhD Scholarships that contribute towards your tuition fee but do not include a monthly stipend.
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PhD in Statistics careers
A PhD prepares you for a career in academia and the industry. Agriculture, forensics, finance and law are some of the biggest employers of Statistics graduates outside of academia. You can also look at careers in Actuarial Sciences after a PhD in Statistics.
Statistical machine learning for computational neuroscience
Explainable artificial intelligence in Bayesian machine learning research and applications
Explainability in Extreme Classification
Artificial Intelligence, Gender and Political Violence
Fairness and efficiency analysis in the digital economy
Physics-Informed Machine Learning for Behavioural Analysis of SiC/SiC Materials in Fusion Nuclear Reactors
Safety assured Bayesian machine learning for reliable decision making in autonomous driving
Hierarchical reinforcement learning
An AI all-weather look-out for autonomous marine navigation
Enhancing ultrasound images using physics-based AI for accurate measurement of blood velocity within the heart
Algorithms for AI inspired by the bounded rationality of humans
ZENITH PhD Studentship in Sustainable Aerospace Materials & Structures
10 – 15 doctoral research positions available in mathematical sciences and its applications
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