Economics, Statistics and Mathematics with a Year in Industry
Queen Mary University of London
UCAS Code: LG19 | Bachelor of Science in Economics (with Honours) - BSc Econ H
Queen Mary University of London
UCAS Code: LG19 | Bachelor of Science in Economics (with Honours) - BSc Econ H
Entry requirements
A level
To include A level Mathematics. Excluded subjects - General Studies, Critical Thinking and Use of Mathematics.
Access to HE Diploma
We consider applications from students with the Access to Higher Education Diploma. The minimum academic requirement is to achieve 60 credits overall, with 45 credits at Level 3, of which 30 credits must be at Distinction, and 15 credits at Merit or higher. Applications are considered on a case by case basis. Applicants will also be expected to achieve, or have already achieved, A level Mathematics at grade A.
We consider applications from students offering an EPQ and may make an alternative offer to include three A levels, one grade lower than our usual requirement, along with a specific grade in the EPQ. For further information please visit: qmul.ac.uk/undergraduate/entry/epq
GCSE/National 4/National 5
A minimum of five GCSE passes to include English at grade B or 5 and Maths grade B or 5 or an acceptable equivalent will be required.
International Baccalaureate Diploma Programme
6,6,6 in HL subjects, to include a minimum of 6 in SL Mathematics, if not being studied at HL. We will consider either Mathematics: Applications and Interpretation or Mathematics: Analysis and approaches at Higher Level. Excludes Maths Studies.
Queen Mary University of London welcomes applications from students currently studying Level 3 BTEC qualifications and will consider you for entry to the majority of our undergraduate courses. The typical entry requirements will vary according to the course you are applying for. Some of our courses require specific subject knowledge which you may not be able to cover as part of a Level 3 BTEC qualification and we may therefore require additional Level 3 qualifications to ensure that you are suitably prepared for relevant courses. A small number of our courses do not accept BTEC qualifications for entry, either as a standalone qualification, or in combination with other qualifications at Level 3. Information on our typical entry requirements and guidance for applying can be found at http://www.qmul.ac.uk/undergraduate/entry/btec/ If you are at all unsure about the acceptability of your BTEC qualification for entry, please contact the Admissions team for individual advice (admissions@qmul.ac.uk).
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
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 methods
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.
Tuition fees
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The Uni
Queen Mary University of London
Economics and Finance
What students say
We've crunched the numbers to see if the overall teaching satisfaction score here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Mathematics
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Economics
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Mathematics
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Want to feel needed? This is one of the most flexible degrees of all and with so much of modern work being based on data, there are options everywhere for maths graduates. With all that training in handling figures, it's hardly surprising that a lot of maths graduates go into well-paid jobs in the IT or finance industries, and last year, a maths graduate in London could expect a very respectable average starting salary of £27k. And we're always short of teachers in maths, so that is an excellent option for anyone wanting to help the next generation. And if you want a research job, you'll want a doctorate — and a really good maths doctorate will get you all sorts of interest from academia and finance — and might secure some of the highest salaries going for new leavers from university.
Economics
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
This is a degree in demand, as business increasingly needs workers who can examine and explain complex data. And yet the number of economics graduates fell by nearly 10% last year, which means demand is even greater. As so many economic grads go into banking and finance, it's not surprising that over half of all 2015's economics graduates who did go into work were working in London. And don't think it's just the finance industry that's interested in these graduates - there's a significant number who enter the IT industry to work with data as analysts and consultants. It's quite common for economics graduates to go into jobs such as accountancy and management consultancy which may require you to take more training and gain professional qualifications - so don’t assume you won’t have to take any more exams once you leave uni. And the incentive to take them, of course, is better pay, which will be on top of an already healthy average starting salary of over £30,000 for graduates working in the capital.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Mathematics
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£24k
£33k
£39k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
Economics
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£29k
£41k
£50k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Teaching Excellence Framework (TEF):
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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).
This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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