Department of Mathematical Sciences

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PhD programmes

For more general postgraduate information please visit the Science Graduate School.

 
 

Life as a research postgraduate

 

PhD

Our PhD in Mathematical Sciences is for graduates who are aiming for a career in academic or industrial research. The PhD is a research degree that is assessed by submission of a thesis and externally examined.

Postgraduate students are offered a variety of training courses and are encouraged to attend international scientific meetings. In addition to local courses, both subject specific and with a view to transferable skills, students can benefit from our cooperation with other institutions, in particular the Mathematics Taught Course Centre and the Academy for PhD Training in Statistics.

In the 2014 Research Excellence Framework, 88% of our research was rated world leading or internationally excellent. Students will find a strong culture of collaboration and mutual support.

We are strongly committed to increasing the number of female students in our department and we provide a very supportive atmosphere. Have a look at what our female graduates have to say about studying at Bath on the SAMBa website.

A variety of funding opportunities exists. Visit the Science Graduate School for more information.

Fully funded studentships are available through the BBSRC South West Biosciences Doctoral Training Partnership and NERC GW4+ Doctoral Training Partnership.

EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)

Details of our Centre for Doctoral Training can be found on our CDT page. SAMBa provides a 4 year programme comprising a first year of taught courses leading to the MRes degree followed by research leading to the award of a PhD.

Each year there are at least 10 places on the four-year SAMBa training programme. This is an innovative way to train PhD students at the interface of applied mathematics and statistics, through courses and activities promoting intellectual independence, flexibility, industrial engagement and ownership of knowledge.

Students will investigate a wide range of problems which may include turning huge datasets into useful knowledge, making predictions of complex systems, and of modelling processes on complex stochastic domains. There is a broad range of potential applications in areas such as medical imaging, treatment and genetics, energy grid modelling, communication networks, pharmaceutical development, modelling and risk of ocean, climate and geophysical systems, of ecological and population systems, and retail analytics.

In joining this centre for doctoral training, students have the opportunity to be part of a future generation of interdisciplinary mathematicians, with careers in both university and industry. Graduates primary strengths will be their problem solving ability, a worldview that sees no separation between applied mathematics and statistics, and their preparation to work in the emerging world of big models and big data.