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Queen Mary University of London

Financial Mathematics

UCAS Code: GN1H

Master of Science (with Honours) - Msci (Hon)

Entry requirements


A level

A,A,A

To include A level Mathematics. Excluded subject - General Studies. Please note: You will also be excepted to achieve a Pass grade in the practical endorsement for any of the following A levels - Biology, Chemistry, Physics - if taken with one of the Awarding Bodies in England.

We consider applications from students with the Access to Higher Education Diploma in a Physics or Mathematics based discipline. 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. Due to the high volume of applications, we do not make offers of study purely on the basis of meeting grade requirements. Please note, the minimum academic requirement for G102, G1G3, GL11 and GN1H will be slightly higher.

GCSE/National 4/National 5

A minimum of five GCSE passes to include English at grade C or 4 or an acceptable equivalent will be required.

International Baccalaureate Diploma Programme

36

6,6,6 in HL subjects, to include Mathematics at HL.

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

144

We’ve calculated how many Ucas points you’ll need for this course.

80%
Applicants receiving offers

About this course


Course option

4years

Full-time | 2018

Subjects

Mathematical modelling

Mathematics

The MSci in Financial Mathematics is a four-year taught programme which combines all the elements of a generalist undergraduate mathematics degree with a number of specialist modules in mathematical finance and related areas. It is ideally suited to students planning a career in the more quantitative areas of finance and banking (eg, quantitative analysis and development, derivatives trading, and risk management). However, it also provides the necessary training to those wishing to undertake academic research in mathematics or financial mathematics.

On completion of the programme, you will have gained a solid understanding of all the key areas of pure and applied mathematics, together with more specialist knowledge of financial mathematics, numerical methods and computing.

A major component of the fourth year is the project, which is undertaken under close supervision by a member of staff. This allows you to perform a detailed study of an area of mathematical finance that is of particular interest to you, introducing you to some of the latest, cutting-edge research being published in this field.

Queen Mary is located close to one of the world’s major financial centres (the City of London), and so is a natural place to study financial mathematics. The School of Mathematical Sciences has research groups specialising in many areas of pure and applied mathematics, as well as in statistics. A number of staff members teaching the programme have commercial experience in banking and finance, and extra-curricular activities include talks by practitioners working in investment banking, as well as workshops in professional development. A number of staff are also actively involved in research in mathematical finance, and the School has a high level of expertise in teaching mathematical finance both at undergraduate and at postgraduate levels.

We expect that this new programme will appeal to students with strong mathematical abilities, who wish to pursue a quantitative career in banking and finance, or who wish to undertake academic research in financial mathematics.

Modules

Please refer to our website for information on modules related to this programme.

Assessment methods

Please refer to our website for information on assessment.

Tuition fees

Select where you currently live to see what you'll pay:

England
£9,250
per year
EU
£9,250
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

Queen Mary University of London

Department:

Mathematical Sciences

TEF rating:

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What students say


We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.

74%
low
Mathematical modelling
74%
low
Mathematics

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

67%
Staff make the subject interesting
82%
Staff are good at explaining things
73%
Ideas and concepts are explored in-depth
64%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

79%
Library resources
73%
IT resources
82%
Course specific equipment and facilities
79%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

81%
UK students
19%
International students
54%
Male students
46%
Female students
60%
2:1 or above
12%
Drop out rate

Most popular A-Levels studied (and grade achieved)

A
B
B
372

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.

£25,000
high
Average annual salary
87%
low
Employed or in further education
92%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

14%
Other elementary services occupations
10%
Teaching and educational professionals
7%
Information technology and telecommunications professionals
What do graduate employment figures really tell you?

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.

What about your long term prospects?

Looking further ahead, below is a rough guide for what graduates went on to earn.

Mathematical sciences

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£21k

£21k

£27k

£27k

£28k

£28k

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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This is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.

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This is the percentage of applicants to this course who received an offer last year, through Ucas.

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This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Course location and department:

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Teaching Excellence Framework (TEF):

We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the 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).

We calculate a mean rating of all responses to indicate whether this is high, medium or low compared to the same subject area at other universities.

Have a question about this info? Learn more here

This information is from the Higher Education Statistics Agency (HESA).

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.

Have a question about this info? Learn more here

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.

Have a question about this info? Learn more here

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

Have a question about this info? Learn more here

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?

Have a question about this info? Learn more here