The MSc Statistics (Social Statistics) aims to provide high-level training in the theory and application of modern statistical methods, with a focus on methods commonly used in the social sciences. You will gain insights into the design and analysis of social science studies, including large and complex datasets, study the latest developments in statistics, and learn how to apply advanced methods to investigate social science questions.
The programme will prepare graduates for work within the public sector, market research organisations and survey research organisations, or for further study. There is a high demand for graduates with training in advanced statistical methods and an interest in social science applications.
Entry requirements to the MSc Statistics (Social Statistics) are a good BSc degree (at least upper second class honours) with a significant mathematical content such as actuarial science, statistics, econometrics, mathematical economics or mathematics. Please note this list is not exhaustive. Well-qualified applicants who do not meet this requirement will be considered on merit.
Details of how to apply
For further practical details of how to submit an application, including the word limit on your personal statement, please see our MSc FAQs (Frequently Asked Questions).
To submit your application please visit our Graduate Admissions website here.
Our taught postgraduate courses are based around lectures, with problem classes and computer workshops. Students will gain hands-on experience of data analysis using R and Stata and submit written reports on their work for individualised feedback.
Students must take courses to the value of four full units. The compulsory courses provide training in fundamental aspects of probability and statistical theory, the theory and application of generalised linear models (for categorical data), as well as developing practical skills in programming and data analysis. These courses provide the foundations for options on more advanced statistical models for multivariate, multilevel and longitudinal data. Other options include survey methods, causal inference and spatial analysis.
MSc Statistics (Social Statistics)
Two compulsory courses:
One optional half-unit from:
Optional courses to the value of two full units from:
Other courses from the Statistics and other departments may be taken with permission.
Note: *ST442 is not available in the 2017/18 academic session
H = Half Unit, F = Full Unit
MSc in Statistics (Social Statistics) (Research)
The research branch is similar to the MSc Statistics (Social Statistics) nine-month programme but involves a compulsory dissertation which replaces one unit of optional courses. Dissertation topics are chosen in November, usually from a list provided by academic staff. Students then work on their project for the rest of the year, under the guidance of their supervisor, with a submission deadline in late August.
A list of courses for this programme in the Programme Regulations section of the current School Calendar will be available shortly.
For advice on your application please refer to the Frequently Asked Questions section of the Graduate Admissions website.
Winton MSc Prizes in Statistics
Two prizes made possible through the generous support of Winton are awarded to MSc students in Statistics.
Winton Prize for Academic Excellence in MSc Statistics/MSc Statistics (Financial Statistics)/MSc Social Statistics
Awarded to the MSc Statistics, MSc Statistics (Financial Statistics), or MSc Statistics (Social Statistics) student with the highest overall marks in their exams. One prize of £500 awarded.
Winton Prize for Best Dissertation in MSc Statistics/MSc Statistics (Financial Statistics)/MSc Social Statistics
Awarded to the MSc Statistics, MSc Statistics (Financial Statistics), or MSc Statistics (Social Statistics) student with the highest mark on their dissertation. One prize of £500 awarded.
Please visit the Winton website here.
This agreement is applicable from the 2017/18 academic year to the 2021/22 academic year.