Our courses provide students and professionals with the knowledge and training in research methods and skills as used by top researchers in the field.
We offer courses across three areas of social science research methods:
Introduction to Data Science and Big Data Analytics (2018 Dates TBC)
This programme covers the fundamentals of data science, focusing on predictive analytics and extracting patterns from big data. Topics include statistical methods, data structures and data manipulation. Technologies used include R for analytics and introductory usage of SQL for database management.
Qualitative Research Methods (2018 Dates TBC)
This is an introductory course in qualitative research methods, preparing students to design, carry out, report, read and evaluate qualitative research projects.
Real Analysis (2018 Dates TBC)
A considerable part of economic theory is difficult to follow without a strong background in real analysis. This course will introduce students to concepts of modern analysis such as continuity, metric spaces, compactness and convexity, and will show the connections to economic theory.
Statistical Methods for Social Research using SPSS (2018 Dates TBC)
Data-driven research requires knowledge of the appropriateness of different statistical techniques and the means to perform empirical calculations. This course equips researchers with these tools using the popular SPSS package.
Statistical Methods in Risk Management (2018 Dates TBC)
A self-contained introduction to statistical methods in risk management. This course combines theory and implementation, and emphasises on hands-on experience working with real financial data.
Survey Research Methods: From Design to Analysis (2018 Dates TBC)
This course provides a comprehensive understanding of survey research methods, including how to design surveys, how to analyse different types of survey data, and how to critically evaluate survey-based research.
Tools for Macroeconomists: The Essentials (2018 Dates TBC)
A hands-on graduate-level course teaching key techniques to solve, analyse, and estimate macroeconomic models. It teaches the key building blocks of numerical analysis and shows how to use them to solve dynamic stocastic models.
Tools for Macroeconomists: Advanced Tools (2018 Dates TBC)
Offering a higher level of understanding in the state-of-the-art techniques used to solve and analyse advanced macroeconomic models. In particular, models with heterogeneous agents and models with inequality constraints.