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.

Teaching and assessment

We’re currently reviewing teaching and assessment of our modules in light of the COVID-19 situation. We’ll publish the latest information as soon as possible.

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’re planning to run this module in the academic year 2020/21. However, there may be changes to this module in response to COVID-19, or due to staff availability, student demand or updates to our curriculum. It may not be possible to take some module combinations due to timetabling constraints. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity.