Mathematics with Professional Placement
Queen Mary University of London
UCAS Code: G101 | Bachelor of Science (with Honours) - BSc (Hons)
Queen Mary University of London
UCAS Code: G101 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
To include A level Mathematics grade A. Excluded subject - General Studies and Critical Thinking 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.
Access to HE Diploma
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 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
6,5,5 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 ([email protected]).
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
Harness the power of logic and reasoning to solve complex real-world analytical, technological, and scientific challenges.
Mathematics underpins much of the modern world. It’s behind the most advanced scientific and technological developments. It explains the phenomena in your everyday life: the acceleration you feel in a car, how much interest you’re gaining in your bank account, the way characters interact in video games.
Solving the problems of the 21st century alongside other intellectually curious students, you’ll be able to tailor your degree to your interests and career aspirations as you choose from a variety of modules.
Create an impression
Taught in our recently renovated £18-million building with state-of-the-art facilities, you’ll be inspired by a large team of expert academics. Learn from their years of experience in industry and hear about their cutting-edge research, including how Mathematics helped save thousands of lives in Sub-Saharan Africa.
Outside the lecture theatre, you can experience events led by our award-winning Mathematics Society. Or perhaps you’ll discover new ways of thinking from experts in one of our seven research groups, including algebra and number theory, statistics with data science, and more.
Make your mark after graduating by fuelling future developments in research, or work in finance, data, engineering or artificial intelligence, for prestigious organisations such as Dyson, JP Morgan and the Financial Conduct Authority.
Modules
YEAR 1
Introduction to Algebra
Introduction to Analysis with Calculus
Numbers, Sets and Functions
Probability and Statistics
Programming in Python I
Vectors and Matrices
Please note that all modules are subject to change.
Assessment methods
Most of your modules will be assessed by an examination (worth at least 90 per cent of the year’s study) with the remainder covered by coursework and tests. All students on MSci programmes and some BSc students will also complete a final-year project.
Tuition fees
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The Uni
Queen Mary University of London
Mathematical Sciences
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)
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.
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.
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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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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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