Course summary
Fascinated by data? Interested in what’s going on in the world around you? This degree combines economics, statistics, and mathematics to prepare you for roles where you’ll apply quantitative techniques to real-world challenges. The programme is jointly delivered by the School of Economics and Finance and the School of Mathematical Science, so you’ll learn from experts across both fields. Many of our teaching staff also have practical experience and work closely with industry organisations including HM Treasury, the Debt Management Office, and the Bank of England. Analyse real-time data Kick off your studies by exploring key areas in each subject, like macroeconomics and quantitative analysis. Then zone in on statistical methods, modelling and econometrics. With our extensive choice of optional modules, you can also explore hot topics in the sector such as cryptography, generative AI, or big data. As well as theory, you’ll perfect your practical skills in our Bloomberg trading room. Here you’ll use the same kit used by industry practitioners. All of the skills you learn will be invaluable, whatever field of economics you decide to work in
Modules
YEAR 1 Personal and Career Development Plan 1 Applied Probability & Statistics Macroeconomics 1 Mathematical Methods in Economics and Finance Microeconomics 1 Principles of Economics Sets, Functions and Numbers Vectors and Matrices Disclaimer The programme structure shown is for prospective/new students and may vary for existing students. Please note that all modules are subject to change.
Assessment method
Assessment typically includes a combination of coursework (presentations, assignments, essay report writing, in-class tests, research and project work) and/or examinations in January and May/June.
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- LG19
- Institution code:
- Q50
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - Not accepted
A level - AAA
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
Access to HE Diploma - D: 30 credits M: 15 credits
International Baccalaureate Diploma Programme - 36 points
Extended Project
GCSE/National 4/National 5
English language requirements
All applicants to Queen Mary must show they meet a minimum academic English language standard for admission and to be successful on the course. Please refer to the website below for details on our English Language requirements by course and acceptable alternative qualifications. You will also find important information regarding UKVI's English requirements if you are applying as an international student and will require a Student Visa to enter the UK.
Queen Mary University of London: English Language Requirements
Student Outcomes
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
England | £9250* | Year 1 |
Northern Ireland | £9250* | Year 1 |
Scotland | £9250* | Year 1 |
Wales | £9250* | Year 1 |
*This is a provisional fee and subject to change.
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
Provider information
Queen Mary University of London
Admissions and Recruitment Office
Mile End Road
Tower Hamlets
London
E1 4NS