Advanced Topics in Quantitative Social Research
Classes
Monday 28 April - Monday 07 July 2025, 6pm-7.30pm
11 sessions - Check class timetable
Overview
On our Advanced Topics in Quantitative Social Research short course we introduce you to a selection of advanced statistical methods that are commonly used in quantitative social research. You will learn how to craft careful and thoughtful quantitative research and perform hands-on statistical programming in R for a variety of data analytical tasks to advance your understanding of political and socioeconomic issues.
The course is ideal if you have prior experience of basic descriptive statistics, hypothesis testing and multiple linear regression, as well as some working knowledge of the R programming language.
We plan to cover:
- statistical programming in R
- multiple linear regression
- generalised linear models
- multilevel/hierarchical models
- panel data analysis
- basic tools of causal inference.
You will find this postgraduate-level short course valuable in developing your social science research skills or making an important contribution to your Continuing Professional Development (CPD) if you already work in quantitative social research and/or programme evaluation.
Assessment is via two 1000-word problem sets (20% each) and a 3000-word final research note (60%).
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Entry requirements
Entry requirements
You must have an undergraduate degree, which may be in any discipline, and experience with multiple linear regression in R.
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.
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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.