Statistical Applied Mathematics Doctor of Philosophy - PhD
Course Overview - Statistical Applied Mathematics Doctor of Philosophy - PhD
The SAMBa PhD delivers research at the interface of applied mathematics, numerical analysis, probability and statistics.
An Integrated PhD from the Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa) provides training in a broad range of mathematical, computational and statistical skills, as well as beneficial collaboration with industry, government and applied sciences throughout the course.
You can start this programme in September or October.
Programme content\
Learning
...
The SAMBa PhD delivers research at the interface of applied mathematics, numerical analysis, probability and statistics.
An Integrated PhD from the Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa) provides training in a broad range of mathematical, computational and statistical skills, as well as beneficial collaboration with industry, government and applied sciences throughout the course.
You can start this programme in September or October.
Programme content\
Learning
* Doctoral skills online
* Doctoral skills workshop
* Interaction and networking
* Lectures
* Research project
* Seminars
* Supervisory team
* Tutorials
* Workshops
Taught content
SAMBa offers a 4-year PhD programme, including initial training to develop breadth of knowledge and research skills.
Placement
We encourage you to explore opportunities to undertake an academic or industrial placement during your PhD.
Research content\
SAMBa supports multidisciplinary mathematical PhD research, often in collaboration with external partners. We host a diverse cohort of researchers in an inclusive environment who explore mathematical modelling, inspired by real world phenomena, both in abstraction and incorporating data. This research spectrum includes rapidly developing areas of mathematical sciences including, machine learning, uncertainty quantification, optimisation, high-dimensional statistics and numerical stochastic modelling.
Postgraduate researchers undertake a four-year integrated programme of research in a world-class environment with opportunities to work flexibly across disciplines. They are trained to become fearless in formulating large-scale challenges in the language of statistical applied mathematics and become leading problem solvers.
Students can either pursue an industry co-designed PhD project, or a project formulated with an academic supervisor during the training phase.
Professional Development\
Professional development is a crucial element of doctoral study, not only in supporting your research but also as part of your longer term career development. Our MyDoctoralDevelopment workshops and courses will help you build your skills and help you succeed in your doctorate.
Course Information
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Course Details
Information
Study Mode
Full-time
Duration
4 Years
Start Date
2027-09-01
Campus
University of Bath
Application Details
Varied
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
Unknown
Points of Entry
Unknown
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Fees and funding
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