Advanced Quantitative Methods
Course Code: PUBLG088
Course Tutor: Dr Slava Mikhaylov (Department of Political Science)
Assessment: One 3,000 word research design paper
Credit Value: 15 credits
About this course
The course builds on the introductory level of statistics and probability theory and introduces students to concepts and techniques essential to the analysis of social science data. The goal of the course is to teach students to understand and confidently apply various statistical methods and research designs that are essential for modern day data analysis. Students will also learn data analytic skills using a statistical software package R. This combination provides students with the skillset that is increasingly required by employers in today’s highly competitive job market.
This is an advanced course intended for students who have already had some training in quantitative methods for data analysis. The minimum prerequisite is a good knowledge of linear regression models and familiarity with a statistical software package (e.g., R, Stata, SPSS, SAS, MATLAB).
that this module is only available to SPP students. Students taking this course are not permitted to take PUBLG100A/B Introduction to Quantitative Methods.