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Applied Econometrics MSc

Course Description

Choose Kingston's Applied Econometrics MSc

This course is ideal if you would like to pursue a career in which the application of econometric methods plays a major role – such as market research, evidence-based planning and policy advice, or financial modelling and forecasting – or if you would like to enter a PhD programme. It focuses on the application potential of a broad range of econometric techniques and the effective communication of empirical results, rather than the statistical theory upon which econometric methods depend.

What will you study?

You will study core econometric concepts and methods alongside modules that focus on different application contexts, such as time-series analysis, microeconometrics, financial econometrics, macroeconometric modelling and business forecasting. You will also develop your computing and communication skills. You will then write a dissertation to show evidence of your knowledge, skills and abilities to undertake complex, self-managed tasks with tight deadlines.

Course Structure

Please note that this is an indicative list of modules and is not intended as a definitive list.

Core Modules

- Econometrics
- Econometrics Dissertation
- Macroeconomic Modelling and Forecasting
- Topics in Applied Econometrics
- Time-Series and Financial Forecasting Methods


To include: essays, small research reports, practical exercises, formal examinations, and final dissertation.

Visit the Applied Econometrics MSc page on the Kingston University web site for more details!

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Alumni discount - 20+ Awards

All undergraduate alumni qualify for 10% off postgraduate taught course fees.

Value of Scholarship(s)



All Kingston Undergraduate alumni will receive 10% off postgraduate course fees.

Application Procedure

Automatically assessed on application, please ensure you state that your undergraduate degree was awarded by Kingston University.

Further Information


Entry Requirements

We expect students to have a second class degree or above, or equivalent, in economics or another area where quantitative methods or economics have been studied to an appropriate standard. Students with extensive relevant professional experience will also be considered.

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