Mathematics and Statistics
Durham University
UCAS Code: G114 | Master of Mathematics - MMath (Hons)
Durham University
UCAS Code: G114 | Master of Mathematics - MMath (Hons)
Entry requirements
A level
General information on subjects/grades required for entry: A*A* in Maths and Further Maths at A Level plus A in a third subject; OR A*A in Maths and Further Maths at A Level (either way) plus A in a third subject plus suitable performance on the University’s Admission Test (TMUA) or MAT; OR A* in Maths at A Level, A in AS Level Further Maths and AA in two further subjects plus suitable performance on the University’s Admission Test (TMUA); OR A*A at A Level in Maths and Further Maths (either way) plus A in a third subject plus Grade 2 in any STEP. Please see our website for further information regarding the University's Admission Test. Specific subjects excluded for entry: General Studies and Critical Thinking.
Please contact the Mathematics department to discuss.
Cambridge International Pre-U Certificate - Principal
General information on subjects/grades required for entry: D2, D2 in Maths and Further Maths and D3 in a third subject; OR D2, D3 in Maths and Further Maths (either way) plus D3 in a third subject plus suitable performance on the University’s Admission Test (TMUA). Please see our website for further information regarding the University's Admission Test.
International Baccalaureate Diploma Programme
38 points overall including Higher Level 7, 7, 6 (to include a 7 in Maths); OR 38 points overall including Higher Level 7, 6, 6 (to include a 7 in Maths) plus suitable performance on the University’s Admission Test (TMUA). Please see our website for further information regarding the University's Admission Test. Please note, a 7 in Higher Level Maths Analysis & Approaches is accepted for this course. Higher Level Maths Applications & Interpretation is not accepted.
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)
To include Mathematics at H1. Please see our website for further information regarding the University's Admission Test.
OCR Cambridge Technical Extended Diploma
D*DD + A*A in A Level Maths and Further Maths in any order OR DDD + A*A* in A Level Maths and Further Maths OR D*DD + A*A in A Level Maths and Further Maths in any order PLUS suitable performance on the University’s Admission Test (TMUA).
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
Plus subject specific A Levels (or equivalent) where required.
Scottish Advanced Higher
To include Mathematics. Please see our website for further information regarding the University's Admission Test.
Departments will normally make offers based on Advanced Highers. In the absence of 3 Advanced Highers, where these are not offered by the applicant’s school, offers comprising of Advanced Highers and Highers or a number of Highers may be made on a case by case basis.
At Durham we welcome applications from students of outstanding achievement and potential from all educational backgrounds. We will consider applicants studying T level qualifications for entry to many of our courses. Where a course requires subject specific knowledge and this is not covered within the T level being studied, you may need to supplement your T level studies with a suitable qualification to meet this requirement, for example at A level. Where this is needed this will be clearly stated in our entry requirements. Detailed entry requirements can be found on individual course entries on our courses database.
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
This challenging degree takes your study of Mathematics and Statistics to Master’s level. It is the ideal choice if you are considering postgraduate study or a career that requires high-level numeracy skills or research.
The MMath combines a strong mathematical grounding with the latest developments in statistics and machine learning to provide the foundation you’ll need to step into a data-driven workplace. The first two years follow a similar structure to the BSc. The wider range of modules introduced in Years 3 and 4 explore more sophisticated mathematical and statistical techniques in greater depth.
The course is based in a brand-new facility, purpose-built to meet the learning, teaching and study needs of students from the Department. You will be taught by a team of mathematicians and statisticians with a wealth of experience in industry and research. The Department is home to a number of research groups with specialisms in both pure and applied mathematics. With many members of the teaching team actively involved in research there are plenty of opportunities to link learning to the latest research in distinctive and creative ways.
The first year begins with a broad-based introduction to pure and applied mathematics, statistics and probability and provides a sound foundation for in-depth study in subsequent years. As you move into the second and third year the focus on statistics increases.
During the final year you complete a double-module project. This can be the individual project in which you tackle a theoretical area or an applied problem in depth. Alternatively, the internship project is a statistics and machine learning piece of work based on a third-party problem. Both projects can be carried out in collaboration with external organisations to add valuable real-world context to your degree.
Modules
Year 1
Core modules:
Analysis aims to provide an understanding of real and complex number systems, and to develop rigorously the calculus of functions of a single variable from basic principles.
Calculus builds on ideas of differentiation and integration in A level mathematics, beginning with functions of a single variable and moving on to functions of several variables. Topics include methods of solving ordinary and partial differential equations, and an introduction to Fourier Series and Fourier transforms.
Linear Algebra presents mathematical ideas, techniques in linear algebra and develops geometric intuition and familiarity with vector methods in preparation for more demanding material later in the course.
Dynamics develops an understanding of elementary classical Newtonian dynamics as well as an ability to formulate and solve basic problems in dynamics.
Probability introduces mathematics ideas on probability in preparation for more specialised material later in the course. The module presents a mathematical subject of key importance to the real-world (applied) that is based on rigorous mathematical foundations (pure).
Programming is taught via lectures and practical sessions that introduce basic principles and competence in computer programming. You will also study control structures; floating point arithmetic; and lists, strings and introduction to objects.
Statistics introduces frequentist and Bayesian statistics and demonstrates the relevance of these principles and procedures to real problems. This module lays the foundations for all subsequent study of statistics.
Assessment methods
We use a combination of methods to assess the different modules, these include written examinations, computer-based examinations, project reports and presentations of project work. In your final year you also complete an in-depth project which is worth one-third of your final-year marks.
Tuition fees
Select where you currently live to see what you'll pay:
Extra funding
We're committed to supporting the best students irrespective of financial circumstances. https://www.durham.ac.uk/study/scholarships/
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.
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.
£27k
£36k
£45k
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.
£27k
£36k
£45k
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.
Explore these similar courses...
Same University
Higher entry requirements
Lower entry requirements
Nearby UniversityThis is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.
Have a question about this info? Learn more here
This is the percentage of applicants to this course who received an offer last year, through Ucas.
Have a question about this info? Learn more here
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.
Have a question about this info? Learn more here
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.
Have a question about this info? Learn more here
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.
Have a question about this info? Learn more here
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.
Have a question about this info? Learn more here
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.
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
