Core modules
Fundamentals in Quantitative Research Methods
This module introduces you to quantitative methods for the social sciences. It involves learning how to design a quantitative research project, how to select data and relevant methods, how to apply these methods and present results convincingly. It is suitable for all students interested in applied data analysis, from a background in any social science, or at least the interest in these disciplines. Prior background in quantitative methods before the module may range from none to intermediate.
Big Data Research: Hype or Revolution?
Big data is said to be transforming science and social science. On this module, you will critically engage with this claim and explore the ways in which the rapid rise of big data impacts on research processes and practices in a growing range of disciplinary areas and fields of study. In particular, the module considers the following questions: What is big data? To what extent is 'big data' different to other kinds of data? What key issues are raised by big data? How are the 'nuts and bolts' of research practice (e.g. ethics, sampling, method, analysis, etc.) transformed with big data? How does big data transform core concepts relating to research practice - such as comparison, description, explanation and prediction?
Advanced Quantitative Research
This module builds on Fundamentals in Quantitative Research Methods. It introduces students to a selected set of advanced statistical methods that are commonly used in quantitative social research. A further aim is to familiarise students with the key issues in the craft of applied work so that they become careful, considered and thoughtful researchers in quantitative social sciences.
Dissertation
The Dissertation is an opportunity to study a topic of your choosing, in autonomy and in-depth, under the guidance of an advisor selected among the many experts in the Department. The Dissertation topic should be related to your course. It is an original empirical and/or theoretical investigation, led over terms 2 and 3, that takes further the work done in regular seminars in terms 1 and 2. The Dissertation is the closest you will get to real research during your degree. It is a key experience if you have a PhD in view, or extra-academic research, or any future employment that will require the ability to lead investigations and write reports in autonomy.
Optional modules
Optional modules can vary from year to year. Example optional modules may include:
- Theories and Issues in International Development
- Normative Analysis
- Theories and Traditions in Public Policy
The optional module listsLink opens in a new window are updated regularly.
You will have the freedom to select 2-3 modules that appeal to you from our extensive range of optional modules, up to a total of 120 CATS of taught modules.
