University of Surrey · Full-time
Economics (Econometrics and Big Data)
Why choose this course - Policy-makers, such as central banks, businesses and finance companies, increasingly use large and complex datasets to further their aims and discover trends and extract value. There is now a need for professionals with the right theor…
MSc1 yearFull-time
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FABSS - School of Economics · Business and management
Why choose this course - Policy-makers, such as central banks, businesses and finance companies, increasingly use large and complex datasets to further their aims and discover trends and extract value. There is now a need for professionals with the right theoretical and practical knowledge who can carry out data analysis using the right machine-learning and econometric estimation techniques. This masters will give you the training to work in this expert field. - Our MSc in Economics (Econometrics and Big Data) will help you build on your undergraduate studies to develop advanced capabilities in this discipline with an emphasis on quantitative techniques and their applications using big data. - Graduates of our economics postgraduate courses are highly successful in securing quality jobs. Recent economics graduates have gone on to work with well-known employers, such as KPMG, Barclays, Wood Mackenzie, Capital Economics, Aviva Investors and Lloyds Banking Group. - This masters degree is accredited by the Chartered Institute of Management Accountants (CIMA), fast-tracking your career by giving you exemption from some professional examinations. - The programme is designed to prepare you for a range of careers in which econometrics and machine-learning skills are required to analyse complex economic problems and provide innovative solutions. Graduates of the programme are also well placed for further study in economics or econometrics. What you will study Our MSc Economics (Econometrics and Big Data) covers the core areas of microeconomics, macroeconomics, and econometrics in which you will develop a systematic understanding to position yourself at the forefront of the discipline. As well as acquiring outstanding theoretical knowledge, you will also learn how to use machine-learning methods for data reduction and prediction, and apply econometric techniques suited to large datasets. Choice is built into the second semester where you can further shape your programme of study by selecting two modules to suit your strengths, preferences and/or career aspirations. You will be able to choose from modules such as Financial Econometrics and Mathematics of Data Science among others. Alternatively, you can switch to the MSc Economics programme. As is the case with all our masters programmes, the MSc in Economics (Econometrics and Big Data) features a series of lectures and workshops in research methods that will allow you to build the skills you need to carry out independent research in economics and complete your dissertation in the summer.
Getting in
As the university states it
A minimum of a 2:2 UK honours degree in accounting, business, chemistry, computer science, economics, engineering, finance, mathematics, physics or statistics. Alternatively, another degree subject including 60 per cent (UK or equivalent) in macroeconomics and microeconomics and 60 per cent (UK or equivalent) in one module from algebra, calculus, mathematics, probability, quantitative methods or statistics. Applicants not meeting the above requirements but have demonstrable exposure to sufficient mathematics, statistics or economics may still be considered. English language requirements IELTS Academic: 6.5 overall with 6.0 in each element.
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Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.