MSc Computational Economics, Financial Markets and Policy
Postgraduate
In Colchester
Description
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Type
Postgraduate
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Location
Colchester
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Duration
1 Year
About the course
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
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
Professional accreditation
Our University is one of only 21 ESRC-accredited Doctoral Training Centres in the UK
This means that our course can form part of a prestigious 1+3 funding opportunity worth up to £21,575
Our expert staff
Study and work alongside some of the most prominent economists of our time
Facilities
Location
Start date
Start date
Reviews
Subjects
- Financial Training
- Financial
- Economics
- Computational
- Market
- Design
- Simulation
Course programme
Postgraduate study is the chance to take your education to the next level. The combination of compulsory and optional modules means our courses help you develop extensive knowledge in your chosen discipline, whilst providing plenty of freedom to pursue your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.
For many of our courses you’ll have a wide range of optional modules to choose from – those listed in this example structure are, in many instances, just a selection of those available. Our Programme Specification gives more detail about the structure available to our current postgraduate students, including details of all optional modules.
Year 1
Dissertation
Computational Agent-Based Macro-Economics, Financial Markets and Policy Design
Computational Market Micro-Structure and Complexity Economics
Computational Methods in Agent Based Economics and Policy Simulation
Expert Seminar Series on Economic Policy and Financial Regulation and Governance
Microeconomics (optional)
Economics of Financial Markets (optional)
Market Structure and Strategic Behaviour (optional)
Teaching
Core components can be combined with optional modules to enable you to gain either in-depth specialisation or a breadth of understanding across several topics
Our postgraduates are encouraged to attend conferences and seminars
Assessment
Each module is assessed with a final examination and a coursework component
Coursework is taken in the form of a term paper or a midterm test
Dissertation
You undertake an individually supervised research project that involves the in-depth study of a specific economic problem or issue
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Additional information
MSc Computational Economics, Financial Markets and Policy