BSc Mathematics and Statistics

at Durham University

Year 1
 

The first year consists of 100 compulsory Mathematics credits:

• Analysis (20)

• Calculus (20)

• Linear Algebra (20)

• Dynamics (10)

• Probability (10)

• Programming (10)

• Statistics (10)

Together with a further 20 credits which can be chosen from:

• Discrete Mathematics (20)

• Any other available Sciences, Arts and Social Sciences modules (subject to pre-requisites and timetabling compatibility)

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.

Year 2
 

In the second year, you will take four compulsory modules (60 credits):

• Analysis in Many Variables (20)

• Statistical Inference (20)

• Data Science and Statistical Computing (10)

• Statistical Modelling (10)

Together with a further 60 credits which can be chosen from a wide range, including:

• Complex Analysis (20)

• Numerical Analysis (20)

• Markov Chains (10)

• Mathematical Modelling (10)

• Probability (10)

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.

Year 3
 

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:
 

• Advanced Statistical Modelling (20)

• Bayesian Computation and Modelling (20)

• Decision Theory (20)

• Machine Learning and Neural Networks (20)

• Mathematical Finance (20)

• Stochastic Processes (20).

A level offer – A*A*A-A*AA.
 

Suitable performance in the University Admission Tests TMUA or MAT or 2 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 and approaches).
 

In addition to satisfying the University’s general entry requirements, please note that:
 

• We strongly encourage applicants to sit the University’s Admissions Test (*) if it is available to them, as we give a high weighting in our selection process to evidence of ability in Mathematics.

• We welcome applications from those with other qualifications equivalent to our standard entry requirements and from mature students with non-standard qualifications or who may have had a break in their study. Please contact our Admissions Selectors.

The tuition fees shown for 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.

Of those students who graduated in 2019:

• 94% are in paid employment or further study 15 months after graduation across all our programmes

Of those in employment:

• 89% are in high skilled employment

• With an average salary of £31,000.