Program Overview
This pathway empowers social scientists to excel in quantitative data analysis and apply it to solve substantive research questions. Through advanced training, students acquire expertise in statistical methods tailored to social science data, preparing them for careers in research, policy, or intervention implementation. The program aligns with the ESRC's priority in advanced quantitative methods, equipping graduates with a competitive edge in this field.
Program Outline
Degree Overview:
This pathway is designed for social scientists who wish to develop advanced quantitative methods for secondary-data analysis and apply these methods to answer specific substantive questions within their disciplines. It is also suitable for statistically trained researchers with methodological interests.
Teaching:
The program provides a sound research training base and a set of bespoke training courses that equip students with the advanced quantitative toolkit required for their PhD research. It also offers a foundation for various employment opportunities, including research, policy, and intervention implementation.
Careers:
Graduates pursue careers in various fields where statistical analysis or numeracy is essential. They also continue in academic careers, securing post-doctoral and lecturing positions.
Other:
- The ESRC has designated advanced quantitative methods as a priority area, and this pathway provides training and supervision that emphasizes quantitative methods at a higher level than typically offered.
- Training includes a structured program of core advanced quantitative methods courses and a fortnightly research and reading group.
- Students require two supervisors: one with advanced quantitative methods expertise and one with expertise in their chosen substantive area. The main supervisor must be from a social science discipline.
UK: part-time£2,379 per year
