Social statistics and social research provide policymakers, academics and others with valuable insights into the behaviour of people. This Masters course will give you an understanding of social research, with a particular focus on quantitative methods and social statistics. You’ll learn about social research methods and the theories behind them, while undertaking detailed training on a wide range of statistical methods. You’ll also gain a thorough knowledge of statistical software and learn a range of highly sought-after technical skills, including accessing, preparing, analysing and summarising complex quantitative datasets. Modules cover core and advanced issues of social research design and techniques of statistical analysis. There are specialist modules that address important emerging areas in social statistics, covering data management,big data, and social network analysis. Students also choose one option module in another area of social research, for instance on qualitative data analysis or policy research.
Modules are usually assessed by an examination, software-based assignments, and essays.
A minimum of a second class honours degree (2.1 preferred) or equivalent in a relevant subject. Applicants without these formal qualifications but with significant appropriate/relevant work/life experience are encouraged to apply. A willingness to learn advanced statistical methods is more important than a strong background in the area. Basic experience of a statistical software, such as SPSS, Stata, R or Excel is useful but not essential.
Fees and funding
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Additional fee information
University of Stirling
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