Quantitative Research Methods

Generating and analysing data requires statistical expertise, a skill that is highly valued by employers.

The University of Bristol Q-Step Centre offers students the opportunity to train in quantitative methods during their studies, as part of a £19.5 million national programme designed to promote quantitative social science training in the UK.

Why study Quantitative Research Methods at Bristol?

Bristol Q-Step Centre is part of a national network that is training a new generation of social scientists. Quantitative skills training will supplement, rather than replace, your subject-specific learning. Our focus is on interdisciplinary learning and applied data analysis relevant to research in the social sciences, including geography. This will enhance your career prospects or provide you with a strong platform for postgraduate study.

The University of Bristol has considerable expertise in quantitative methods. For example, the School of Geographical Sciences is a major centre for quantitative human geography; the School for Policy Studies hosts the well-respected Townsend Centre for International Poverty Research; and the Centre for Multilevel Modelling develops software that is used throughout the world.

We offer taught units that focus on applied quantitative social sciences, three-year (BSc) courses that combine disciplinary learning with quantitative methods teaching, and the opportunity to extend your degree to four years so that you can graduate with a master’s (MSci) qualification. Some degrees offer a Study Abroad option, where you will spend your third year at one of our partner universities overseas. We also encourage work placements and internships.

If you are not sure whether to choose a BSc or MSci qualification, you can transfer from one to the other during the first two years.

Download the Quantitative Research Methods leaflet (PDF, 103kB)

What kind of student would this course suit?

If you are willing to approach quantitative methods with a critical, enquiring mind and a willingness to learn, these courses will appeal to you.

Our courses are about applied data analysis, not mathematics. Although familiarity with higher-level mathematics may be helpful, A-level or AS-level Mathematics (or equivalent) is not essential. The level of maths required and taught on these degrees should be accessible to a student with grade C in GCSE Mathematics.

How is this course taught and assessed?

Our courses are taught through a combination of lectures and small-group seminars, which will help you to integrate your learning and see how it can be applied in practice.

About two thirds of your studies will follow the Single Honours syllabus for your chosen subject, and the remaining third will provide applied interdisciplinary training in quantitative methods.

The degree is assessed by a combination of written examinations, coursework and presentations, including a dissertation on a topic of your choice.

What are my career prospects?

Graduating with the words ‘with Quantitative Research Methods’ in your degree title will give a clear signal to employers about the training you have received. This will enhance your employability in many sectors such as policymaking, business and commerce, where the ability to produce and analyse data is crucial.

Our integrated four-year MSci degree is particularly relevant for those thinking of continuing to postgraduate study or who wish to have additional skills to differentiate themselves within the job market.

Disclaimer

Important disclaimer information about our courses.

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