Statistics

The Statistics section has a long-standing tradition of conducting methodological research motivated by, and feeding back into, applied challenges arising from work with industrial partners. To this end, we have formed collaborative programmes with a number of leading national and international organisations.

These provide us with opportunities for:

• identification of important research challenges, currently not met within the literature
• staff and student exchanges, to foster longer-term collaborative opportunities
• development of research programmes of mutual interest

Such collaborations can take many different forms including (co)funding of PhD projects, postdoctoral funding and internships.

STOR-i

Partnership with business is a core element of STOR-i. As such we have teamed up with leading industries that recognise and support the need for highly-skilled researchers in statistics. Current partners include BT, Shell, Unilever, the Met Office and the National Nuclear Laboratory. We have also forged international research partnerships with SFI (Norway), the Naval Postgraduate School (US), Northwestern (US) and the University of Washington (US). These key cross-disciplinary centres have been selected for their international research reputations and for the degree of alignment of their agendas with that of STOR-i.

Medical and Pharmaceutical Statistics Research

The Medical and Pharmaceutical Statistics Research Unit (MPS) develops and evaluates novel statistical methods of study design and data analysis for use in the pharmaceutical and medical research community. It consequently works with a number of partners in healthcare, the public sector and pharmaceutical industry, including AstraZeneca, Novartis and Roche. As part of its continued commitment to professional development, the MPS unit has prepared a number of courses which may be commissioned by organisations and tailored to meet special requirements. A selection of these is also run each year at Lancaster.

Geometric Rigidity

The Discrete Mathematics and Geometric Rigidity group has interests in applying mathematical techniques to industrial problems and has a number of established relationships with industry, notably in the area of Computer-Aided Design (CAD).

Industrial Placements and Dissertations

As part of our undergraduate programmes, we offer our students the opportunity to undertake an industrial dissertation in their fourth year. Students on our MSc programme in Data Science all undertake an industrially-sponsored dissertation. If you would be interested in exploring the possibility of working with us in this way, please contact us.

Our Science and Technology Employability team can also help you access our students, plus students from across sciences and technology (biological and environmental sciences, computer science, communications systems, chemistry, a range of engineering disciplines, geography, physics, and psychology) through internships, careers fairs, collaborative research projects, year in industry programmes, volunteering programmes and recruitment services.

Science and Technology at Lancaster University

The School of Mathematical Sciences is part of the Faculty of Science and Technology, a community of eight departments engaged in world-leading research that makes a demonstrable difference to our economy and society. To find out more about how to engage with our other departments, which include Chemistry, Computing and Communications, Engineering, Lancaster Environment Centre, Natural Sciences, Physics and Psychology, please see the Faculty's Partnerships and Business Engagement pages.