Mathematics and Statistics
Prepare for our data-driven future.
3 years full-time
Please note: Courses may be affected by Covid-19 and are therefore subject to change due to the ongoing impact of Covid-19. Applicants will be informed of any changes which we are required to make to course entries as a result of Covid-19.
The three-year BSc Maths and Stats course combines a strong foundation in core mathematics and statistics with exciting recent developments in statistics and machine learning, providing a unique preparation for our data-driven future. A rigorous grounding in essential mathematical techniques and fundamental statistical principles and methods leads to the exploration of a wide range of topics central to modern statistics and machine learning, together with a year-long individual project module tackling a theoretical area or an applied problem in particular depth, possibly in collaboration with a company or other organisation.
The first year consists of 100 compulsory Mathematics credits:
Together with a further 20 credits which can be chosen from:
The first-year Mathematics modules expand and develop topics that may be familiar from A level (or equivalent), smoothing the transition to university study. Fundamental statistical methodologies are developed from first principles in the Statistics and Probability modules, providing a mathematical language and coherent conceptual framework with which to structure subsequent developments. Other modules equip you with the essential mathematical tools needed for further study.
In the second year, you will take four compulsory modules (60 credits):
Together with a further 60 credits which can be chosen from a wide range, including:
The four compulsory modules will furnish you with the central mathematical, inferential, modelling, and computational tools needed for modern statistics and machine learning, as well as looking at important surrounding issues such as data governance. Further modules allow you to broaden or deepen your knowledge of particular topics or techniques.
In the third year, you take a 40-credit capstone project module, tackling a theoretical area or an applied problem in particular depth. Subject to availability, this may be performed in collaboration with a company or other organisation. For the remaining 80 credits, you choose from a range of modules on topics central to modern statistics and machine learning, including:
Methods of teaching and learning used in the course include a mix of lectures, tutorials, problem classes, computer practicals, homework problems (including electronic assessment), written and oral presentations, and individual projects.
A variety of modes of assessment will be used and are likely to include written examinations, computer-based examinations, project reports, presentations of project work.
Much of the teaching in mathematics and statistics consists of 50-minute lectures (12 per week on average) in which lecturers will explain concepts, derive results, state and prove theorems, and work through analytical and computational examples, developing motivation, understanding, and technique. The best way to consolidate and fully internalize this knowledge is to use it. In the first two years, lectures are supplemented by tutorials, informal small classes (about 12 in first year and 16 in second year) in which students work through problems and ask questions. You will have at least three per week during each of the first two years. Many of the statistics modules across all three years also include computer practicals, in which students learn how to implement computational methods and how to analyse real data. Homework problems and exercises are set in lectures, and your marked solutions may form the topic of discussion in a tutorial or problem class. You will be encouraged to work with other students, and to make use of the University's library and computing resources.
For an honours degree at Durham, you take the equivalent of six single modules each year, each with two lectures a week (apart from the project and teaching modules). In the first year, five of your modules will cover core material. These form the bedrock of your University education and range over a wide variety of topics, including fundamental material in probability and statistics. We recognise that our first-year class is not homogeneous; there are different A level syllabuses, and some students have non A level qualifications. Our first-year courses have been designed with this in mind. Consequently, we aim to fill gaps and consolidate previous knowledge during a good deal of the first term although you should find even familiar material presented in an interesting and more sophisticated way.
In the second year, the core comprises two full and two half modules covering inference in classical and Bayesian statistics, linear modelling, and computational statistics, as well as other vital data science topics. For the remainder of your time, you have the opportunity to choose those other areas of Mathematics and Statistics that appeal to you most.
In the third year, you will take a project module, worth 40 credits. The project allows you to learn about a particular statistical topic in particular depth, for example, or to perform an in-depth analysis of a data set using the tools that you have learned. Subject to availability, you may have the opportunity to perform this project in collaboration with a company or other organisation. You will acquire invaluable skills in writing and presenting work, independent study, and practical data science. Support is provided in the form of fortnightly small group meetings with lecturers, as well as meetings with third parties as appropriate.
You then choose a core module in either advanced statistical modelling or Bayesian computation and modelling. You are then free to choose the remaining three modules from a wide range of options in statistics, machine learning, and probability, as well as other mathematical topics.
We aim to encourage you to develop independence and self-motivation; for that reason, we concentrate our tutorial support in the first two years and in the project module. However, help and advice is always available from lecturers. You will also have an advisor assigned to you throughout your time with us who can be relied on for help, in particular when choosing your path through the many modules available.
A level offer – A*A*A-A*AA.
Suitable performance in the University Admission Tests TMUA or MAT or 1 in any STEP will lead to the lower A*AA offer (A*A in Mathematics and Further Mathematics, either way round plus A in any other A level or equivalent).
BTEC Level 3 National Extended Diploma / OCR Cambridge Technical Extended Diploma – D*D*D – D*DD and A level requirements as above.
IB Diploma score – 38 with 776 or 766 in higher level subjects, including Mathematics (maths analysis & approaches).
In addition to satisfying the University’s general entry requirements, please note that:
(*) The University uses a national Admission Test in Mathematics (TMUA), in conjunction with the Cambridge Assessment Admissions Testing (CAAT). Test results will be sent by the CAAT directly to students at the end of November, and all information concerning the Test (including whether it was taken at all) will be provided to us by the applicants on an entirely voluntarily basis: suitable performance will entitle the applicant to the reduced A*AA offer. Taking part in the TMUA can therefore only increase the chances of receiving an offer. More information can be found on the Mathematics Department website, on the CAAT website and in most schools nationwide. (Schools that currently administer STEP and MAT will be automatically registered).
International students who do not meet direct entry requirements for this degree might have the option to complete an International Foundation Year.
|Home students||£9,250 per year|
|EU students||£24,900 per year|
|Island students||£9,250 per year|
|International students||£24,900 per year|
The tuition fees shown for home students are for one complete academic year of full time study and are set according to the academic year of entry. Fees for subsequent years of your course may rise in line with an inflationary uplift as determined by the government.
The tuition fees shown for overseas and EU students are for one complete academic year of full time study, are set according to the academic year of entry, and remain the same throughout the duration of the programme for that cohort (unless otherwise stated).
Please also check costs for colleges and accommodation.
We are committed to supporting the best students irrespective of financial circumstances and are delighted to offer a range of funding opportunities.Find out more about Scholarships and Bursaries
(Source: HESA Graduate Outcomes Survey. The survey asks leavers from higher education what they are doing 15 months after graduation. Further information about the Graduate Outcomes survey can be found here www.graduateoutcomes.ac.uk)
We offer stimulating, flexible and intellectually satisfying degrees. Whether you are looking for a Single Honours degree, orWhether you are looking for a Single Honours degree, or wish to combine Mathematics with other subjects, Durham University offers a distinct blend of high-quality teaching and research along with excellent facilities and a stimulating environment for your studies. Whichever degree you choose, you will benefit from research-led education by experts in a wide variety of fields across pure mathematics, applied mathematics, statistics and probability.
For more information visit our department pages.
In addition to the large collection of mathematics books in the Bill Bryson Library, the college libraries may also have copies of recommended texts. The Department also provides a great deal of support material online and students are welcome to discuss any mathematical questions with their lecturers and tutors.
The best way to find out what Durham is really like is to come and see for yourself!