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We have 63 Applied Statistics PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in the UK
Applied Statistics PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in the UK
We have 63 Applied Statistics PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in the UK
Applied Statistics is the use of statistical methods to solve real-life problems, particularly in fields like health, medicine and social sciences. A PhD in Applied Statistics involves a research project that intents to find solutions to problems identified in different field using the methodologies in the area of Statistics.
What’s it like to do a PhD in Applied Statistics?
Using your existing knowledge of Statistics and Maths, you’ll be working on a unique research project that offers significant contribution to the field. As a PhD student in Applied Statistics, you’ll find that what sets it apart from traditional Statistics is the focus on collaboration with other STEM subjects.
Some popular research topics in Applied Statistics include:
- Linear models
- Data mining and analytics
- Statistical process control
- Spatial statistics
- Statistical computing
- Longitudinal analysis s
Your research will probably focus on a particular real-world application of Statistics like in disease mapping, survival analysis or predictive modelling, among others.
You’ll find that most PhD programmes in Applied Sciences are advertised with a research objective already attached. This is the case for most STEM subjects. Even though it is not that common, some universities do consider applicants who want to propose their own research projects provided it meets the overall research objective of the department.
A PhD in Applied Statistics will require you to produce a thesis, around 80,000 words long, to be defended in an oral viva examination.
Entry requirements
A PhD in Applied Statistics will require you to have a Masters with either Merit or Distinction in a subject like Mathematics or Statistics. Some programmes might accept a degree in other fields of study as long as it had a significant mathematical component like Physics or Engineering.
You might also have to prove that you are proficient in the language of instruction at your chosen university.
PhD in Applied Statistics funding options
A PhD in Applied Statistics in the UK is funded by the Engineering and Physical Sciences Research Council (EPSRC) which offers fully-funded studentships and a monthly stipend. PhDs which are advertised with it attached offer guaranteed funding if you are successful in your application. If you are proposing your own project, you’ll first need to be accepted by a university to be eligible for the funding.
PhD in Applied Statistics careers
The skills you’ll acquire while completing a PhD in Applied Statistics will definitely prepare you for a career in academia and research. If you don’t see yourself working as a research fellow or in academia, some of the largest employers of Applied Statistics doctoral graduates are firms in fields like finance, forensics and medicine.
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Predicting diabetes-related complications with machine learning techniques
Diabetes mellitus is characterised by chronic hyperglycaemia associated with a higher risk of cardiovascular complications. Read more
PhD in Evaluating the Influence of Tangible 3D Printed Replicas on the Museum Experience
The University of Warwick, and Oxford University Museum of Natural History, are pleased to announce the availability of a fully-funded four-year (full-time) doctoral grant under the AHRC’s. Read more
Royal Navy Musculoskeletal Injury Mitigation Programme: epidemiology of injury
The Royal Navy Musculoskeletal Injury Mitigation Programme (RN MMP), led by the Institute of Naval Medicine (INM), aims to support Sailor and Royal Marines’ musculoskeletal health. Read more
PhD studentship in Statistics – Inference for distributed likelihoods
Overview. A problem arising in statistical inference is unifying distributed analyses and inferences on shared parameters from multiple sources, into a single coherent inference. Read more
Enabling fair comparisons of the impact of long-term health conditions on life expectancy in multimorbid populations: development and enhancement of statistical methodology
Project Highlights. Develop methodology to provide more tailored and fairly comparable life expectancy estimates for individuals with multiple long-term health conditions (MLTCs). Read more
Poverty of Aspiration? A Comparative Analysis of Educational and Occupational Aspirations of Teenagers in Three British Birth Cohort Studies
This doctoral project will make use of three large-scale nationally representative ESRC funded longitudinal datasets to undertake advanced statistical analyses of teenager’s educational and occupational aspirations. Read more
Significant adults and peers - mapping and understanding transitions in children’s support networks over the life course.
The University of Edinburgh is inviting applications from suitably qualified graduates for a fully-funded PhD studentship in Social Policy to research the roles that significant adults and peers play in children’s lives over time so as to better understand patterns of support during early childhood to pre-adulthood, alongside individuals’ narrative constructions of such support. Read more
Where to next? Post-school transitions and career decisions among young people in Scotland – insights from the Growing Up in Scotland study.
The University of Edinburgh is inviting applications from suitably qualified graduates for a fully-funded PhD studentship in Social Policy in partnership with Skills Development Scotland (SDS) to research the context within which young people in Scotland are making decisions about post-school transitions, and the factors that influence these decisions. Read more
Living with disabilities, household conditions and COVID-19: a Scottish population-based study using linked administrative data
Identifying population groups at high risk of severe COVID-19 health outcomes is crucial to target appropriate public health interventions, including vaccination programmes, now and in the future. Read more
Economics of Crime and Offender Rehabilitation (PhD in Economics)
We are looking for a high-quality student for a fully-funded SGSSS-ESRC PhD-studentship in Economics (where the candidate does not already have appropriate MSc training they will first complete the Scottish Graduate Programme in Economics (SGPE) MSc in Economics as part of 1+3 funding). Read more
Assessing potential inequalities in adolescent outcomes amongst looked after children
Care-experienced children (CEC) have poorer outcomes than other young people, both in childhood and later life. Read more
Extending the explainability of machine learning models in policy decision making
Governments and policy makers are increasing their use of machine learning (ML) to support decision-making. The performance of ML algorithms generally improves with the increase of model complexity, which makes it harder for end-users to interrogate the model output. Read more
Standing nonheritable variation in bacteria
The aim of this multi-disciplinary project is to develop quantitative methods to measure variation and selection, and their impacts on the dynamics of bacterial populations under changing environmental conditions. Read more
Machine Learning of Behavioural Models for Improved Multi-Sensor Fusion (Distributed Algorithms CDT)
Are you interested in AI, data science and machine learning? Do you want to develop next generation tools that can solve tough challenges and make the world a safer, more resilient place? This PhD project is part of the. Read more
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Intelligent information fusion in distributed sensing: uncertainty modelling and quantification for heterogeneous sensor/effector networks
The University of Surrey is offering a fully funded PhD studentship on the topic of intelligent information fusion for distributed sensing and learning, with industrial partner SAAB. Read more