Quantitative Methods for Science, Technology and Innovation Studies (839N1)

15 credits, Level 7 (Masters)

Spring teaching

This module provides you with training in quantitative methods. It's offered to students who already have some familiarity with elementary statistics.

You cover methods including multivariate (e.g. factor and cluster) analysis and regression (e.g. linear and non linear) analysis. You'll also gain an understanding of the main issues that can arise in applied quantitative studies.

We equip you with methodological skills to read, interpret and produce quantitative research. You'll be able to use these both within and outside academia (e.g. consultancy reports, policy-evaluation documents).

Your lectures provide an introduction to the theoretical and practical elements of each method. In hands-on tutorials, you're guided through a set of practical exercises on the statistical software STATA.

Teaching

50%: Lecture
50%: Seminar

Assessment

25%: Coursework (Group presentation)
75%: Written assessment (Essay)

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 44 hours of contact time and about 106 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2021/22. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum.

We’ll make sure to let you know of any material changes to modules at the earliest opportunity.