MSc Social Research Methods and Statistics / Course details
Year of entry: 2019
- Do you want a course that provides a thorough grounding in advanced quantitative methods taught within an applied social science framework?
- Would you like to learn methods of data analysis, including advanced statistics for complex data?
- Would you like a skills-based course with practical training that is highly regarded for future employment within government and academia?
The course is designed to be accessible to non-statisticians, yet is more focussed than many other existing master's courses in social research methods. You'll need a base level of knowledge in undergraduate research methods which you will build on throughout the course to gain comprehensive statistical and analytical skills.
The course has a strong connection with the Cathie Marsh Institute for Social Research (CMI), reflecting our commitment to interdisciplinary, integrated research. Research activities within the Social Statistics discipline area are both methodological and substantive. They focus on a wide range of subject areas including social inequalities, population dynamics and survey methodology. The SRMS MSc course is recognised by both the Economic and Social Research Council (ESRC) and the North West Doctoral Training Centre, from whom we receive a large number of Advanced Quantitative methods (AQM) and CASE awards each year.
The MSc course aims to develop future social scientists who will have a thorough grounding in research, and are equipped with the tools for collecting and analysing statistical data.
Those completing the MSc course are well suited to roles within central and local government, academia and commercial research and our rate of employability is especially high.
- Find out more about our academic staff:
- Read more about some of our current and past postgraduate students
Contact the Course Director/Admissions Tutor:
Dr K. Purdam
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Course unit details
The SRMS course provides a thorough grounding in advanced quantitative methods, taught within an applied social science framework. Whilst the training focuses on advanced quantitative methods, the course is designed to be accessible to students coming from a broad range of disciplinary backgrounds and with varying levels of prior statistical knowledge.
The course is available full-time over one year or part-time over two-years, and may be studied as either an MSc or a Postgraduate Diploma.
All students (MSc and Postgraduate Diploma) take course units totalling 120 credits (eight 15-credit courses) over the year.
Course units typically include:
- Methodology and Research Design
- Introduction to Statistical Modelling
- Statistical Foundations
- Qualitative Research Methods
- Survey Research
- Multilevel Modelling
- Longitudinal Data Analysis
- Advanced Survey Methods
- Social Network Analysis
- Introduction to Demography
- Structural Equation Modelling
All students proceeding to MSc must complete a research dissertation of up to 15,000 words. Those on the Postgraduate Diploma may upgrade to the full MSc subject to satisfactory course performance.