Course summary
When you choose the 12-month MSc in Mathematical Sciences you will benefit from a research-led education where you learn the latest techniques from internationally recognised specialists in pure mathematics, applied mathematics, statistics and probability. The MSc is a fully flexible course. It offers the freedom to select up to six modules from a choice of 30+ options based around the innovative research taking place in the Department. You can explore the statistical modelling techniques involved in data analysis or delve into cryptology which is widely used in banking and internet browsing. You can also choose modules in the machine learning techniques that underpin scientific and technological applications, or the application of quantum computing which is a valuable tool in improving supply chains and production. Whatever your interests you will have access to the latest development in the sector. The final months of the course are spent researching and producing a dissertation on a current research topic. The flexibility around module choice and the dissertation topic allows you to take a broad-based approach or tailor the course around your specific interests and career path. The Department of Mathematical Sciences is an excellent learning environment for postgraduate studies. Housed in a new building, shared with the Department of Computer Science, you will benefit from dedicated student project space, open plan networking and workspace, and a dedicated area for enterprise and entrepreneurial activities. By the end of the 12 months, we aim to bring you to a level where you can confidently progress into a variety of careers in both the public and private sectors, or continue your academic career with a PhD in Mathematics or related disciplines.
Modules
Core module: The MSc Dissertation is a supervised extended report into a topic of current mathematical research interest chosen from a wide range of subjects. It will develop your skills in creative and critical thinking, your ability to tackle material critically and to communicate your findings effectively and clearly in a 40-60 page report. Examples of optional modules: Advanced Quantum Theory; Algebraic Topology; Analysis; Ergodic Theory; Fluid Mechanics; Functional Analysis and Applications; General Relativity; Geometry; Mathematical Finance; Number Theory; Partial Differential Equations; Probability; Representation Theory; Riemannian Geometry; Solitons; Statistical Mechanics; Stochastic Analysis; Stochastic Processes; Superstrings; Topics in Algebra and Geometry; Topics in Applied Mathematics; Topics in Combinatorics; Topics in Statistics. If you chose five modules from the previous list, the remaining option can be chosen from the following: Advanced Statistical Modelling; Bayesian Computation and Modelling; Codes and Cryptography; Decision Theory; Differential Geometry; Dynamical Systems; Galois Theory; Geometry of Mathematical Physics; Machine Learning and Neural Networks; Mathematical Biology; Operations Research; Quantum Computing; Quantum Mechanics; Topology. Students will be able to choose an overall stream, linking together their modules with a coherent theme. Choosing modules outside the stream isn't discouraged, however, allowing you to put together a truly bespoke combination of modules if you desire (and the timetable permits!).
Assessment method
The MSc in Mathematical Sciences is a 12-month degree course, starting in early October and finishing the following September. The course comprises six optional modules, each amounting to around 200 hours of work. Each module includes 50 hours of contact time made up of lectures supported by problem classes where you have the opportunity to work to solve example problems in an ideal way, and discuss the thought processes behind such solutions. The remainder of the time is made up of independent preparation, reading and working on independent assignments to reinforce your understanding of the material. The component of the course is a dissertation on a topic of current research, prepared under the guidance of a supervisor with expertise in the area. We offer a wide variety of possible dissertation topics. Assessment methods vary by module with the majority involving written examinations, written assignments and practical assessments. A number of the statistical based modules also include computer-based examinations. The taught modules amount to two thirds of the course with the final third of your marks gained through the completion of the dissertation, an independently researched extended report into a body of current mathematical work which is presented in an interesting, innovative and well-organised manner. The dissertation is supported by 10 hours of one-to-one meetings with a supervisor in which you have the opportunity to discuss sources, draft work, sample calculations and references.
How to apply
International applicants
If you are an international student who does not meet the requirements for direct entry to this degree, you may be eligible to take a pre-Masters pathway programme at the Durham University International Study Centre.
Entry requirements
2:1 degree or equivalent in a relevant subject.
English language requirements
Durham University welcomes applications from all students irrespective of background. We encourage the recruitment of academically well-qualified and highly motivated students, who are non-native speakers of English, whose full potential can be realised with a limited amount of English Language training either prior to entry or through pre-sessional and/or in-sessional courses. It is the normal expectation that candidates for admission should be able to demonstrate satisfactory English proficiency before the start of a programme of study, whether via the submission of an appropriate English language qualification or by attendance on an appropriate pre-sessional course. Acceptable evidence and levels required can be viewed by following the link provided.
English language requirements
https://www.durham.ac.uk/study/international/entry-requirements/english-language-requirements/
Fees and funding
Tuition fees
England | £12250 | Year 1 |
Northern Ireland | £12250 | Year 1 |
Scotland | £12250 | Year 1 |
Wales | £12250 | Year 1 |
Channel Islands | £12250 | Year 1 |
EU | £27900 | Year 1 |
International | £27900 | Year 1 |
Republic of Ireland | £27900 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
For further information see the course listing.
Provider information
Durham University
The Palatine Centre
Stockton Road
Durham
DH1 3LE