Integrated PhD in Statistical Applied Mathematics

Program Overview

The SAMBa PhD program cultivates fearless problem-solvers with expertise in mathematical modelling, bridging abstraction and data-driven approaches. Through collaborative research, students tackle challenges in areas like machine learning, optimization, and high-dimensional statistics, fostering interdisciplinary innovation and career success in academia or industry.

Program Outline

Outline:

• The SAMBa PhD program offers a 4-year curriculum, including initial training to develop breadth of knowledge and research skills.
• Students can either pursue an industry co-designed PhD project, or a project formulated with an academic supervisor during the training phase.
• The program includes a diverse cohort of researchers in an inclusive environment who explore mathematical modelling, inspired by real world phenomena, both in abstraction and incorporating data.
• Research spectrum includes rapidly developing areas of mathematical sciences including, machine learning, uncertainty quantification, optimisation, high-dimensional statistics and numerical stochastic modelling.

Assessment:

• The taught elements of the initial training phase include units that are assessed using coursework and examinations (both oral and written).
Students are required to reach a pass mark of 60% to progress onto their research phase.
• During the research phase, students carry out supervised research in their chosen subject which must then be written up as a substantial thesis.
This usually takes place 12 months after the start of the research phase.
• The final stage of the PhD is submission of the thesis and the oral or viva voce examination, in which students are required to defend the thesis to a Board of Examiners.

Careers:

• Alumni are now working successfully in academia and industry.

Other:

• SAMBa supports multidisciplinary mathematical PhD research, often in collaboration with external partners.
• 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.
• 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.

Tuition fees are liable to increase annually for all University of Bath students.