University of Essex
Computational Economics, Financial Markets and Policy
Applicants should have an upper 2nd Class Honours degree (or equivalent) in economics, finance, econometrics, business or any other quantitative or computational degree such as physics, engineering, mathematics and computer science. IELTS 6.0 overall or equivalent.
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; MSc dissertation. Options: accounting and professionalism; advanced research methods: empirical explorations the contemporary workplace; agent-based modelling in finance and economics; applications of data analysis; artificial neural networks; audit theory; bank strategy and risk; behavioural finance; business strategy; cases in corporate governance; cases in financial reporting and corporate governance; constraint satisfaction for decision making; corporate finance; corporate reporting and analysis; creativity and organisation; critical marketing; derivative securities; econometric methods and applications; economic development theory; economics of financial markets; economics of incentives, contracts and the firm; economics of the european union; economics of transition; environment, sustainability and management; environmental economics; estimation and inference in econometrics; ethical marketing; evolutionary computation and genetic programming; exchange rates and international finance; financial decision making; financial modelling; fixed income securities; game theory and applications; global investments; high frequency finance and empirical market microstructure; human resource management; industry expert lectures in finance; industry expert lectures in finance; international environment of business; international finance; international financial reporting; international management accounting; international trade theory; issues in financial reporting; machine learning and data mining; macroeconomics; management accounting; management in organisations; management psychology; management: principles and practices; managing across cultures; managing for ethics and sustainability; market structure and strategic behaviour; marketing: principles and practices; mathematical methods; mathematical research techniques using matlab; mathematics of portfolios; microeconomics; modern banking; panel data methods; people and organisations; performance management; perspectives on corporate governance; perspectives on marketing; philosophy of management and accounting; portfolio management; postgraduate mathematics preparation; programming in java; research evaluation projects; research methods and methodologies in accounting and management; research methods in finance: empirical methods in finance; researching organisational dynamics; strategic brand communication; strategy and accounting; theory of industrial organisation; time series econometrics; topics in financial economics; topics in labour economics; trade and development; trading global financial markets; using financial and commodity derivatives in business.
Combination of written coursework, end-of-term tests, practical and laboratory work (where appropriate) and end-of-year exams. During the summer, you will work on a dissertation or individual project included in your final grade.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||October 2016||GBP 9,950 per Year 1 (Northern Ireland)||12 months|
|MSc||Full-time||October 2016||GBP 9,950 per Year 1 (Scotland)||12 months|
|MSc||Full-time||October 2016||GBP 9,950 per Year 1 (Wales)||12 months|
|MSc||Full-time||October 2016||GBP 9,950 per Year 1 (England)||12 months|
|MSc||Full-time||October 2016||GBP 15,500 per Year 1 (International)||12 months|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|Colchester Campus||Colchester||CO4 3SQ||South East|
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