MSc Applied Social Research (Social Statistics and Social Research)

Earn a Masters degree in social research and social statistics, and open up a wide range of career opportunities. Study full or part-time to suit your schedule.

Applied Social Research (Social Statistics and Social Research)

Key facts

  • Award Masters / MSc, Postgraduate Diploma, Postgraduate Certificate
  • Start date September 2021, September 2022
  • Duration MSc full-time: 12 months; MSc part-time: 24 months
  • Mode of study Part-time, Full-time, Campus based, Stand-alone modules

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 statisics, 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.


Top reasons to study with us

Course objectives

This course is designed to provide you with an in-depth understanding of social research, with a particular focus on social statistics and quantitative methods. It includes orientation material on social research methods as a whole, and detailed training on a wide range of statistical methods, with advanced modules on data management and emerging priority research areas, such as big data and social network analysis. Teaching covers the theories behind the methods and training in using datasets and analysing them with statistical software. You’ll gain a variety of highly marketable skills in the areas of social research and social statistics.

Flexible learning

Students can study full time or part time and all modules feature live classes such as scheduled lecture and seminar sessions. Flexible learning arrangements can usually be supported in most situations, subject to agreement.

If you’re interested in studying a module from this course, the Postgraduate Certificate or the Postgraduate Diploma then please email Graduate Admissions to discuss your course of study.

Faculty facilities

Students taking this course are affiliated with the Faculty of Social Sciences. Scheduled classes use University teaching spaces such as lecture, seminar and lab venues when relevant.

Research overview

When you study Applied Social Research at the University of Stirling, you’ll be introduced to pioneering empirical and theoretical research in a vibrant, multi-disciplinary environment.

Underpinning the expertise of our staff, the University of Stirling scored highly in the most recent Research Excellent Framework (REF 2014) – a UK-wide assessment of universities’ research output. In the Social Work and Social Policy unit of assessment, highlights included:

  • 78% of our overall research activity was assessed to be internationally excellent or world-leading
  • 100% of research environment factors assessed as internationally excellent or world leading
  • 100% of our research impact was assessed as world leading or internationally excellent
  • we were judged to have the 2nd highest research power in Scotland and 13th highest in the UK

What our students said

Jade Hooper
MSc Applied Social Research (Social Statistics and Social Research)
The lecturers are wonderful; passionate about both their own work and your success. I would recommend this course to anyone thinking of a career using quantitative methods in Social Science.
Read Jade's story

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