Specialised statistical methods are hugely important in dealing with particular problems of economic data. For instance, time series econometrics provides methods for analysing the dynamic processes that are often found in macroeconomics, while other techniques are required for analysing the stock market and other financial data.
Econometrics can be described as the application of statistics in an economic context so this course will interest you if your first degree included some training in both statistics and economics.
You study topics including:
Methods of linear regression and hypothesis testing Bayesian statistical modelling and methods Actuarial modelling and time series models Applied statistics Game theory
Our Department of Mathematical Sciences has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.
You are also taught within our Department of Economics, who are rated consistently highly for student satisfaction and are Top 5 in the UK for research, with over 90% of their research rated as ‘world-leading’ or ‘internationally excellent’ (REF 2014).
UK entry requirementsA degree with an overall high 2:2.International and EU entry requirementsWe accept a wide range of qualifications from applicants studying in the EU and other countries. Email [email protected] for further details about the qualifications we accept. Include information in your email about the undergraduate qualification you have already completed or are currently taking.IELTS entry requirementsIELTS 6.0 overall with a minimum component score of 5.5If you do not meet our IELTS requirements then you may be able to complete a pre-sessional English pathway that enables you to start your course without retaking IELTS.
Recipient: University of Essex
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