Statistics and Operational Research (STOR-i) PhD
The STOR-i Centre for Doctoral Training offers a unique four year doctoral training programme with a ground-breaking approach to Statistics and Operational Research developed and delivered in partnership with leading industrial partners. There are typically over ten fully funded places available each year.
Continual collaboration and networking with our wide range of industrial partners ensures that this programme will produce a new generation of highly employable researchers equipped with the skills required for effective careers in academia or industry. Some of the UK’s leading companies committed to providing this support include BT, IBM, AstraZeneca, Shell and SSE.
The programme begins with an MRes, which provides a robust grounding in the field and the development of key research skills. You will then identify a research topic and plan your PhD research. You will also develop a versatile skill set including: advanced problem solving, programming, and teamwork, plus, a broad range of presentation and dissemination skills.
The remaining three years will be spent working on the PhD project guided by appropriate supervisory teams, whilst taking a wide range of specially devised training programmes and experiencing extended international research visits at world leading universities to increase your employability. All PhD students get experience of researching with industry, as 80% of students have a PhD project co-funded and co-supervised by industry and the rest have a six month industrial internship.
Compulsory modules:Training for Research and IndustryProbability and Stochastic ProcessesOptimisationLikelihood InferenceComputer SimulationBayesian InferenceComputational Intensive Methods
Optional modules:Leadership and Project Management TrainingCommunication TrainingResearch IntegrityContinual Professional Development in Statistics and Operational ResearchComputational Horizons
- Applied Social Statistics : PhD
- Data Science : MSc
- Mathematics : PhD
- Quantitative Methods for Science, Social Science and Medicine : MSc
- Quantitative Methods for Science, Social Science and Medicine : PGCert
- Quantitative Methods for Science, Social Science and Medicine : PGDip
- Statistics : MSc
- Statistics : PGDip
- Statistics : PhD
- Statistics and Operational Research (STOR-i) : MRes
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For Entry: 2015
+ Director of Studies: Professor Jonathan Tawn.
Entry requirements: First class honours degree, or its equivalent, in an undergraduate course with a substantial mathematical content.
IELTS: 6.5 or equivalent.
Assessment: Original research and thesis.
Funding: All applicants should consult our information on fees and funding.
Duration: Full time 36 Month(s)
Department: Mathematics and Statistics
Phone: +44 (0)1524 593964
For information on the course structure as followed by our current students, please see Lancaster University's Online Courses Handbook