Taught course

Computational Economics, Financial Markets and Policy

University of Essex · Department of Economics

Entry requirements

A degree with an overall 2.2 in a discipline related to economics such as: Economics, Maths, Engineering, Finance, Physics or any other degree with a strong maths component.

The Degree should contain some economics components including Macroeconomics; Microeconomics or Econometrics.

Months of entry


Course content

The financial crisis and global recession have triggered a search for new perspectives in economics training that can deal with the challenges posed by highly interconnected and globalised financial and industrial organisations. Our course provides a revolutionary way to address the many issues raised in macroeconomics and financial regulation.

By using a multi-agent computational and simulation modelling approach to complement your work in statistics and econometrics, you investigate a wide array of economic phenomena that can also aid in policy design. You will be given laboratory based instruction to build a range of agent based models that include systemic risk analysis with financial networks and market micro-structure of stock markets. Our Expert Lecture module gives you exposure to policy oriented issues given by experts and practitioners.

We are top 5 in the UK for research, with over 90% rated as “world-leading” or “internationally excellent”. Much of this world-class research is related to policy, and we have particular strengths in the areas of:

  • Game theory and strategic interactions
  • Theoretical and applied econometrics
  • Labour economics.

The quality of our work is reflected in our stream of publications in high-profile academic journals, including American Economic Review, Econometrica, and Review of Economic Studies.

Qualification and course duration


full time
12 months

Course contact details

Postgraduate Enquiries