Taught course
Economics (Econometrics and Big Data)
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.
Months of entry
September
Course content
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 thise 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 analyze complex economic problems and provide innovative solutions. Graduates of the programme are also well placed for further study in economics or econometrics.
The School of Economics has a reputation as a leading research-intensive department in the UK. In the 2021 Research Excellence Framework, our School was ranked in the top 10 schools in the UK for world-leading research. The School achieved an overall ranking of 6th for real-world impact and 8th for research environment in REF 2021.
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Admissions
- admissions@surrey.ac.uk
- Phone
- 01483682222