Course summary

The MSc in Economics will equip you with the skills and knowledge to understand the complex, rapidly transforming and turbulent modern global economy. As one of three specialist Masters routes, our MSc Economics programme consists of a set of core and optional modules, culminating in a research-based dissertation. This flagship route delivers a balanced mix of broad and subject-specific knowledge sought by, global employers in industry, banking, consultancy and policymaking, and by world-leading PhD programmes should you wish to pursue a career in research. The programme is delivered by the Department of Economics, renowned internationally for its research and teaching excellence and is one of four departments at Durham University Business School. The Business School is one of the an elite group of institutions accredited by all three major business education accrediting bodies: the Association to Advance Collegiate Schools of Business (AACSB), the Association of MBAs (AMBA), and the European Quality Improvement System (EQUIS). Course structure Core modules You will study the following core modules: Advanced Macroeconomics features selected topics from contemporary business cycle theory, models of long-run economic growth, and macroeconomic policy analysis. Advanced Microeconomics enhances your knowledge and analytical skills in areas such as consumer theory, producer theory, decision-making under risk and uncertainty, incentives and strategic behaviour, general equilibrium and information economics. Econometric Analysis provides the econometrics skills necessary to pursue empirical research in economics and/or finance and provides a grounding for understanding the more advanced econometric techniques to be taught in the second term of the course. You will then choose one of the two modules below: Microeconometrics provides the tools required to conduct policy evaluation using microeconomic cross section and panel datasets. OR Times-Series Analysis provides the tools required to model stationary and non-stationary time series data and obtain forecasts from econometric models.