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 67th for business and economics in the world by the Times Higher Education World University Rankings 2023.
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.
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.
The University provides its students with leading facilities, including our recently renovated Library and Learning Centre and a range of computer labs across campus.
For students on this course, a designated computer lab is located at the heart of the School of Economics. You will have access to specialist software and have the chance to work and learn together with your peers.
Careers and graduate prospects
We offer careers information, advice and guidance to all students whilst studying with us, which is extended to our alumni for three years after leaving the University. Our graduates have lifetime access to Surrey Pathfinder, our online portal for appointment and events bookings, jobs, placements and interactive development tools.
The MSc Economics (Econometrics and Big Data) programme is new for the 2022-23 academic year so there are no graduates yet. Graduates from our existing masters programmes have recently embarked on careers in roles such as:
- Analysts (finance, business, data, trade, investment, and sales)
- Audit managers
- Economic advisers
- Regulatory advisers.
Others have gone on to study towards PhDs at Surrey and in other top schools in the UK.
Modules listed are indicative, reflecting the information available at the time of publication. Please note that modules may be subject to teaching availability, student demand and/or class size caps.
The University operates a credit framework for all taught programmes based on a 15-credit tariff. Modules can be either 15, 30, 45, 75 and 120 credits, and additionally for some masters dissertations, 90 credits.
The structure of our programmes follows clear educational aims that are tailored to each programme. These are all outlined in the programme specifications which include further details such as the learning outcomes:
Course timetables are normally available one month before the start of the semester. Please note that while we make every effort to ensure that timetables are as student-friendly as possible, scheduled teaching can take place on any day of the week (Monday – Friday). Wednesday afternoons are normally reserved for sports and cultural activities. Part-time classes are normally scheduled on one or two days per week, details of which can be obtained from the Academic Hive. View our Code of practice for the scheduling of teaching and assessment (PDF).
Contact hours can vary across our modules. Full details of the contact hours for each module are available from the University of Surrey's module catalogue. See the modules section for more information.
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.
International entry requirements by country
Do I meet the requirements for this course?
We require you to submit a full application so that we can formally assess whether you meet the criteria published. Unfortunately, we are unable to provide an outcome based on an enquiry (via email, webform enquiry, phone or live chat).
English language requirements
IELTS Academic: 6.5 overall with 6.0 in each element.
View the other English language qualifications that we accept.
If you do not currently meet the level required for your programme, we offer intensive pre-sessional English language courses, designed to take you to the level of English ability and skill required for your studies here.
The University of Surrey recognises that many students enter their higher education course with valuable knowledge and skills developed through a range of professional, vocational and community contexts. If your experience exceeds the typical requirements for entry to the programme, a process called recognition of prior learning (RPL) may allow you to enter your course at a point appropriate to your previous learning and experience. If you can demonstrate that you have met the learning outcomes for specific modules through your previous learning, it may be possible to exempt you from those modules, and for you to be awarded credit based on your previous qualifications/experience. There are restrictions on RPL for some courses and fees may be payable for certain claims.
In some cases, prior knowledge and skills may allow applicants to join the start of a course without meeting the formal entry requirements.
Please see our code transfer and recognition of prior learning guide (PDF) and recognition of prior learning and prior credit web page for further information. Please email Admissions (email@example.com) with any queries.
Start date: September 2023
Full-time - 1 year
- To be confirmed
- To be confirmed
- These fees apply to students commencing study in the academic year 2023-24 only. Fees for new starters are reviewed annually
- If you are on a two-year full-time MFA programme, or a two-year or three-year part-time masters programme (excluding modular/self-paced/distance learning), the annual fee is payable in Year 1 and Year 2 of the programme
- Annual fees will increase by 4% for each subsequent year of study, rounded up to the nearest £100, subject to any overriding applicable legislative requirements.
There are associated costs with this programme:
- £35/£75 - STATA software licence (6 or 12 months)
- £35 - Eviews student software licence (free lite version available).
Grand total: £70 - £110.
You may be able to borrow money to help pay your tuition fees and support you with your living costs. Find out more about postgraduate student finance.
Scholarships and bursaries
We're committed to making sure that we offer support for students who might need it.
Brunei GREAT Scholarship
Terms and conditions
When you accept an offer of a place at the University of Surrey, you are agreeing to comply with our Charter, Statutes, Ordinances, Policies, Regulations and our terms and conditions. These terms and conditions are provided in two stages: first when we make an offer and second when students who have accepted their offers register to study at the University. View our offer terms and conditions and our registration terms and conditions (PDF) for the 2022/2023 academic year as a guide as to what to expect.
Please note: the offer terms and conditions and registration terms and conditions which you will be asked to agree to may be different from those detailed in the examples. Our offer terms and conditions will generally be available in the September of the calendar year prior to the year in which you begin your studies. Our registration terms and conditions will be available at the start of each academic year and will vary to take into account specifics of your course and changes for the specific academic year.
This online prospectus has been prepared and published in advance of the academic year to which it applies. The University of Surrey has used its reasonable efforts to ensure that the information is accurate at the time of publishing but changes (for example, to course content or additional costs) may occur given the interval between publishing and commencement of the course. It is therefore very important to check this website for any updates before you apply for a course with us. Read our full disclaimer.