Course summary
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 handle the data 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. 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. In the 2021 Research Excellence Framework, Economics was ranked in the top 10 in the UK for world-leading research and achieved an overall ranking of 6th for real-world impact and 8th for research environment. 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.
Modules
To see the full range of modules for this course please visit our website – the link is under the Course contact details, to the bottom right. You will also find full details of the programme, including programme structure and Graduate prospects etc.
How to apply
International applicants
We are proud to be one of the most culturally diverse universities in the UK, with more than 140 nationalities playing a role in university life. Our International Recruitment team are here to help you throughout the application process – from advising on choosing the right course to applying for a visa and preparing for your first few weeks at Surrey. You can contact them via [email protected] Applicants who require a Student Visa to study in the UK: To apply for a Student Visa, you must have a Confirmation of Acceptance (CAS) for the University you wish to study at. This is a unique number which will enable you to apply for your visa. The University is under no legal obligation to sponsor any individual and exercises caution with respect to issuing a Confirmation of Acceptance for Studies (CAS) to avoid risking its status as a Student sponsor. Confirmation of Acceptance to Study (CAS) will be issued in accordance with the Student Route and CAS Issuing Policy, available at: https://www.surrey.ac.uk/apply/policies
Entry requirements
A minimum of a 2:1 UK honours degree in chemistry, computer science, economics, engineering, maths, physics, 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, maths, probability, quantitative methods or statistics. Applicants not meeting the above entry requirements who hold a 2.2 in a relevant subject may still be considered if they hold a minimum of 12 months graduate work experience in a position relevant to the programme to which they have applied. English language requirements IELTS Academic: 6.5 overall with 6.0 in each element.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
The University of Surrey offers a range of scholarships and bursaries to support our students, please visit https://www.surrey.ac.uk/fees-and-funding/scholarships-and-bursaries for more details.