Skip to main content

Introduction to Quantitative Social Research


There are no classes currently available for registration.


Our Introduction to Quantitative Social Research short course gives you an opportunity to learn a range of quantitative research methods through hands-on experience using SPSS computer software, which you can perform on your own research problems. You will also learn how to interpret and critique published research, write up and present your own findings, and design and implement your own quantitative research projects.

The course assumes no prior knowledge of maths or statistics.

We plan to cover the following content:

  • Operationalisation of research questions
  • Hypothesis testing
  • Basic mathematics for social scientists
  • Experimental designs
  • Survey research
  • Descriptive statistics
  • OLS regression

Assessment is via three short-answer assignments (10% each), a 500-1000-word project plan (20%) and a 4000-word project (50%).

30 credits at level 7

  • Entry requirements

    Entry requirements

    Most of our short courses have no formal entry requirements and are open to all students.

    Introduction to Quantitative Social Research is a postgraduate-level course, so you should have an undergraduate degree or significant professional experience, for example in a research-related career.

    As part of the enrolment process, you may be required to submit a copy of a suitable form of ID.

    International students who wish to come to the UK to study a short course can apply for a Visitor visa. Please note that it is not possible to obtain a Student visa to study a short course.

  • How to apply

    How to apply

    You register directly onto the classes you would like to take. Classes are filled on a first-come, first-served basis - so apply early. If you wish to take more than one short course, you can select each one separately and then register onto them together via our online application portal. There is usually no formal selection process, although some modules may have prerequisites and/or other requirements, which will be specified where relevant.