Mathematics and Statistics
University of Sheffield
UCAS Code: G110 | Master of Mathematics - MMath (Hons)
University of Sheffield
UCAS Code: G110 | Master of Mathematics - MMath (Hons)
Entry requirements
A level
including Maths
Access to HE Diploma
Award of Access to HE Diploma in a relevant subject, with 45 credits at Level 3, including 39 at Distinction (to include Maths units), and 6 at Merit
International Baccalaureate Diploma Programme
with 6 in Higher Level Maths (Analysis and Approaches)
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)
including Maths
Pearson BTEC Level 3 National Diploma (first teaching from September 2016)
+ A in A Level Maths
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
in Engineering with Distinctions in all Maths units
Scottish Advanced Higher
in Maths + AAAAB at Scottish Highers
Welsh Baccalaureate - Advanced Skills Challenge Certificate (last awarded Summer 2024)
+ AA including Maths at A Level
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
In a career as a statistics researcher, you can help solve problems in areas ranging from banking to healthcare. You’ll be trained to use the tools and software professional statisticians use and complete a major research project in your final year.
**Join some of the best statisticians to find the patterns in huge datasets, draw conclusions – and imagine creative solutions.**
A Mathematics and Statistics MMath from University of Sheffield prepares you for a career as a statistics researcher, where you can help solve problems found in everything, from finance to healthcare and medicine.
Beginning with the essentials in year one opens the door to those concepts that will shape the rest of degree – calculus, algebra, modelling, data science and more. As you progress, you’ll add advanced techniques, develop programming skills using Python and R, and learn to present your work as a professional mathematician using LaTeX.
In your second year we’ll show you how to apply your statistics knowledge to increasingly complex problems, through statistical modelling and computer simulations. You can also continue to study topics in pure maths, such as group theory and algebra.
By your third year, you’ll have the skills, knowledge and experience to go in lots of different directions – and a choice of modules to support whichever path you choose. We’ll train you in how to design experiments and collect data, how statistics are used in clinical trials of new drugs and how data can predict the likely outcome of an event.
Your final year comes with more opportunities – including summer research placements – where you can work with our mathematicians to tackle a complex research question. You’ll spend a third of your time working on, writing up and presenting your own research project with an expert in your chosen area.
With this degree as your first step, a job in the finance, technology or big data economy will soon follow.
**Why study this course?**
- **Leading maths research** - 96% of our research is rated as world-leading or internationally excellent, according to the Research Excellence Framework 2021.
- **Real-world problem solving** - research unanswered questions and learn by tackling real-world problems in subjects ranging from algebraic geometry, number theory and mathematical biology.
- **Everyone is welcome** - there’s a place at Sheffield for everyone who enjoys mathematics. Find a warm welcome at our active student society (SUMS), regular maths challenges, and a dedicated LGBT+ student group for maths students.
- **Set up for a successful career** - careers and employability skills are built into our maths degree programmes, and major employers like Goldman Sachs, Unilever, and the NHS hire our graduates to solve problems.
- **Extended research projects** - summer placements and a final year project will help you hone those software skills, so you’ll know how to present maths and statistics and other technical information.
Tuition fees
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The Uni
University of Sheffield
School of Mathematical and Physical Sciences (Mathematics)
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)
Statistics
Sorry, no information to show
This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.
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.
Statistics
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
The business and research sectors worry that the UK hasn't got enough people with good statistics skills, and as stats are at the heart of so much of the economy, and we only have a few hundred graduates a year in the discipline, this type of degree can be very useful and versatile. The finance industry is very popular with this group, and they're far more likely to be working in London than most other graduates. And who can blame them — statistics graduates starting work in London were earning an average of nearly £29k just six months after leaving university. There is also demand from the Scottish finance sector in Edinburgh and Glasgow - particularly in banking and insurance. But a good statistician can find work almost anywhere that data can be analysed - which, in an online world, is almost anywhere - and many industries struggle to find enough statisticians to fulfil demand, so stay flexible and you can find a variety of options.
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.
£22k
£30k
£34k
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.
Statistics
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£22k
£30k
£34k
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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