Introduction to Quantitative Methods (532X8)

15 credits, Level 7 (Masters)

Autumn teaching

You are suited to this course if you have a minimal background in statistics.

The objectives of this course are to equip you with:

  • basic concepts in quantitative analysis in social sciences research
  • practical skills to interpret and conduct commonly used statistics.

In addition to some basic concepts, such as when can we conduct statistical test(s), it introduces some of the most commonly used quantitative research methods, for example t-test, ANOVA and correlation.

The course lectures are supplemented with practical workshops in SPSS, a computer programme for conducing statistical tests.


33%: Lecture
67%: Practical (Workshop)


100%: Written assessment (Essay)

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 27 hours of contact time and about 123 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2024/25. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum. We’ll make sure to let you know of any material changes to modules at the earliest opportunity.