Quantitative Pathways

students studying at desks in the Library

Pathway for quantitative-orientated undergraduates

Students come to the social sciences for a variety of reasons and from a wide range of backgrounds. Many social science students have no interest in quantitative methods. Others may have a latent interest that gets piqued during their early course of study.

The Q-Step programme provides a pathway for students interested in receiving additional quantitative methods training and expertise, by offering the opportunity to earn their respective degree with the additional accolade: "with Quantitative Methods". Additionally, Q-Step lecturers will assist in undergraduate dissertations employing quantitative methods across social science subjects.

Figure 1 below demonstrates a rather ideal progression for students choosing the Politics with Quantitative Methods pathway. Students can study single honours also in Central & East European Studies, Economic & Social History, Social & Public Policy, and Sociology.

Figure 1: How 'with Quantitative Methods' fits into your degree curriculum

Year Subject 1 Subject 2 Subject 3
1 Politics 1A Politics 1B Sociology 1A Sociology 1B Economic and Social History 1A Economic and Social History 1B
2 Politics 2A Politics 2B Sociology 2B Sociology 2B Quantitative Methods: Measuring Your Social World Quantitative Methods: Analysing Your Social World
3 Quantitative Methods: Research Design and Method Selection Quantitative Methods: Advanced Regression Honours Politics courses
4 Dissertation in Politics* Advanced Quantitative Methods ** Honours Politics courses

*If the student wishes to use quantitative analysis, the Q-Step team can offer support either as primary supervisor, secondary supervisor or provide a workshop on the data analysis technique used for supervisor and student depending on which option is the most useful.

** Around 5 advanced quantitative courses will be produced which either offer very advanced training or offer a more applied approach linked to a substantive area.