Advanced Quantitative MethodsFind a programme
|Run by||Faculty of Social Sciences and Law|
Four years full-time;
seven years part-time
|Location of programme||Clifton campus|
|Part-time study available||Yes|
|Start date||September 2020|
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.
Fees for 2020/21
We charge an annual tuition fee. Fees for 2020/21 are as follows:
- UK/EU: full-time
- UK/EU: part-time
- Overseas: full-time
- Channel Islands/Isle of Man: full-time
Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to a five per cent increase in fees each year. Find out more about tuition fees.
University of Bristol students and graduates can benefit from a ten per cent reduction in tuition fees for postgraduate study. Check your eligibility for an alumni scholarship.
Funding for 2020/21
The Faculty of Social Sciences and Law has an allocation of 1+3 and +3 ESRC scholarships. Applicants may also be interested in applying for funding from the University of Bristol scholarship fund and alumni PhD scholarship fund.
Further information on funding for prospective UK, EU and international postgraduate students.
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.
English language requirements
If English is not your first language, you need to meet this profile level:
Further information about English language requirements and profile levels.
Read the programme admissions statement for important information on entry requirements, the application process and supporting documents required.
The ESRC has designated advanced quantitative methods as a priority area, and the purpose of this pathway is to provide training and supervision that emphasises quantitative methods to a higher level than is usually offered. Training includes a structured programme of core advanced quantitative methods courses and a fortnightly research and reading group.
Details of the core training currently offered can be found on the advanced quantitative methods courses web page.
You will need two supervisors: one supervisor with advanced quantitative methods expertise and one supervisor with expertise in your chosen substantive area. Your main supervisor must be from a social science discipline. For a list of potential supervisors, please consult our academic staff pages on the relevant school websites.
Our students go on to employment in a wide variety of areas - often where statistical analysis is required, but also where numeracy is crucial. Students also continue within academic careers, going on to post-doctoral and lecturing positions.
At its core, the programme establishes a sound research training base, together with a set of bespoke training courses that provide students with the advanced quantitative toolkit required for their PhD research. It also provides a foundation for different types of employment, including research, policy and intervention implementation.
Dr Julia Gumy, (Senior Lecturer), Comparative research methods; Gender, subjective well-being and the life course; Poverty and social inequalities; Study of individual financial behaviour and well-being
Professor Rich Harris, (Professor), Methodological interests in spatial statistics, spatial econometrics, GIS and geodemographics; spatial measures of inequality and segregation; the geographies of education under systems of choice.
Professor Kelvyn Jones, (Professor), Geography of health: geographical inequalities in mortality in advanced economies; realistically complex modelling: the quantitative analysis of social science data; research design: developing evidence-based research in non-experimental studies.
Dr George Leckie, (Reader), Longitudinal data analysis and dyadic data analysis; multilevel analysis of non-hierarchical data; the application and dissemination of multilevel and other latent variable models to analyse educational and social science data.
Dr David Manley, (Reader), Segregation: multiple approaches to measuring and analysing; urban geography: urban inequalities, integration of the life course into static models.
Professor Sarah Smith, (Professor, Head of Department), Analysis of the effects of policy reform; intergenerational transmission; modelling individual behaviour, including fertility, health, retirement, charitable giving and subjective well-being.
Professor Kate Tilling, (Professor), Childhood growth; complex interrelationships which change over time (eg. fat mass and physical activity, risk factors for CHD); lifecourse analyses; trajectories of change in disease outcomes.
Dr Winnie Wang, (Senior Lecturer), Aging population and Health geography; Development studies, particularly the relationship between rural-urban migration and development in China or Vietnam; Population and urban geography, particularly migration and urban mobility
Dr Liz Washbrook, (Senior Lecturer), Relationships between family background, policy and early childhood outcomes and methodological issues in the analysis of longitudinal data.
Professor Frank Windmeijer, (Professor), Demand for health and health care; policy evaluation; using genetic markers in social science research.
Dr Levi Wolf, (Lecturer), Analysis of political behaviour (elections, polarization); Civic hacking & intervention; Spatial sorting, segregation, & spatial inequality
The closing date for ESRC studentship applications is 12 noon on Tuesday 21 January 2020. For further details on applying for ESRC funding, please visit the SWDTP website.
The closing date for non-funded places is not fixed but early application is advised.
Get in touch
Vicki Sackwild Postgraduate Student Administrator Phone: +44 (0) 117 928 7878 Email: email@example.com
Professor Richard Harris Programme Director Phone: +44 (0) 117 928 7878 Email: firstname.lastname@example.org
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