Introduction to Quantitative Research (standalone online)
Duration Accessible at any time during academic year
Team Researcher Academy

This online course is delivered by the Researcher Academy

The Researcher Academy courses are very popular and the majority are run in both semesters to give you the opportunity to attend at a time of the year that suits you. Semester 1 courses will be available for booking from the second week of October and Semester 2 courses from the second week of February.

Target Audience: This course is primarily intended for PhD students from all faculties. However, members of research-active staff may also benefit.


This course is for you if you have little or no previous experience of quantitative research methods (i.e. methods involving numbers and basic statistics) but feel that there is potential to apply such methods to your research. The course covers different types of quantitative methods including calculation of summary statistics, an introduction to correlation and regression analysis, hypothesis testing and calculating p-values.

This course will be useful if:

  • You need to apply these methods in your own discipline
  • You want to assess whether there is potential to use quantitative methods
  • You need to interpret the output from other quantitative research

Aims/ Objectives:

The aim of the course is to provide a brief introduction to the principles of quantitative research methods.

By the end of the course, you will:

  • Be able to distinguish between different types of quantitative data
  • Be able to provide basic numerical summaries of data
  • Be able to perform hypothesis tests and report p-values
  • Be able to interpret simple regressions 


This is a standalone (self-study) online course available from June 2020. This course is delivered entirely online via Moodle and is self-study. You may access the course any time and as often as you like until the end of the academic year.

There are no training points associated with this course. However you can obtain a certificate of attendance/ participation if you complete all parts of the course (as ascertained via an activity completion report check).

Students therefore need to ensure each section/ activity's tick box is ticked off to show progress/ completion.

Students must have a complete line of ticks on their activity to get a certificate. 

Researchers across all 3 campuses can self-enrol on this course in Moodle by following this link:

Booking Conditions

Our webinars/ online courses are very popular, especially in the current period and we are experiencing large volumes of people on our waiting lists.  

Please do let us know if you would like to cancel your place on this course so we can offer your place to another delegate. 

Please note, attendances for webinars/ online courses will still be recorded and corresponding training points, when shown as available, will be awarded.   

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