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Course summary

This pathway is for social scientists who wish to learn advanced quantitative methods for secondary-data analysis, and apply these methods appropriately to answer particular substantive questions from their disciplines. This includes social scientists who are interested in interdisciplinary research that requires the application of quantitative methods from one discipline to problems in another. This pathway is also for statistically trained researchers whose interests are more methodological. Projects may involve applying statistical methods used in other disciplines to social science problems, or developing novel statistical methods for analysing social science data. We welcome applications from students with backgrounds in statistics or related disciplines. You will normally be registered in the school of your first supervisor. This may not be the school that processes your application.

Assessment method

https://www.bristol.ac.uk/study/postgraduate/admissions-statements/2022/phd-advanced-quantitative-methods.pdf


How to apply

International applicants

We welcome students from all over the world. We currently have students from more than 120 countries studying here at Bristol. Having a diverse cultural community provides a stimulating environment for both teaching and learning, for more information please visit: http://www.bristol.ac.uk/international/countries/

Entry requirements

An upper second-class degree (or equivalent qualification) with substantive quantitative elements (at least 60 credits plus a quantitative dissertation). See international equivalent qualifications on the International Office website.


Fees and funding

Tuition fees

England £4565 Year 1
Northern Ireland £4565 Year 1
Scotland £4565 Year 1
Wales £4565 Year 1
Channel Islands £4565 Year 1
EU £24600 Year 1
International £24600 Year 1
Republic of Ireland £24600 Year 1

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Advanced Quantitative Methods at University of Bristol - UCAS