Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

Why choose this course Economics helps us decipher and shape our complex world. It offers unparalleled insights into how decisions by individuals, businesses, and the government affect important aspects of everyone’s life, including employment opportunities, the prices of products and services, and the overall standards of living. Our MSc in Economics (Econometrics and Big Data) will help you build on your undergraduate studies to develop advanced capabilities in the discipline with an emphasis on quantitative techniques and their applications using big data. As 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, the need has arisen for professionals with the right theoretical and practical knowledge who can handle the data using the right machine learning and econometric estimation techniques. The programme is designed to prepare you for a range of careers in which advanced quantitative skills and ability to work with big data using econometrics are required. Also, graduates of the programme are well placed for further study in economics or econometrics. We are a top-10 UK economics school in research (REF 2021) and ranked 61st for business and economics in the world by the Times Higher Education World University Rankings 2022. 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 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. Optionality 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 in finance, financial econometrics, fintech with Python, and data science maths. Alternatively, you can switch to the MSc Economics programme or to one of three ‘pathways’: International Economics, Macroeconomics and Financial Analysis, or Policy Evaluation and Data Analysis. As is the case with all our masters programmes, the MSc in Economics (Econometrics and Big Data) features a series of lectures/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

Additional fee information

FEES: For current information regarding postgraduate fees, please visit the course page on our website. The link is under Course contact details. SCHOLARSHIPS AND BURSARIES: Discover how we may be able to support your postgraduate taught studies with a host of bursaries and scholarships directly from the University of Surrey and external providers: https://www.surrey.ac.uk/fees-and-funding/scholarships-and-bursaries?field_student_level_value[postgraduate]=postgraduate

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.

Economics (Econometrics and Big Data) at University of Surrey - UCAS