Accurate and efficient scientific computations lie at the heart of most cross-discipline collaborations. It is vital that such computations are performed in a stable, efficient manner and that the numerics converge to the true solutions of the dynamics of the physics, chemistry or biology in the problem.
The programme closely follows the structure of our MSc in Applied Mathematical Sciences and is designed to equip students with the skill to perform efficient and accurate computer simulations in a wide variety of applied mathematics, physics, chemical and industry related problems.
Students will undertake research projects with a strong computational element. Examples include subjects such as Spectral Pollution, Domain Decomposition, Contamination of Groundwater, Oil Reservoir Simulation, Computational Neuroscience and Uncertainty Estimation and other cutting-edge topics.
Postgraduate Taught Experience Survey (PTES) 2018/19 Results
The Mathematics Department are incredibly proud to have been awarded a score of 100% in overall student satisfaction with the quality of the course; across all of our specialist Mathematics programmes.
- MSc - One year
- Diploma - 9 months
Also available part-time over 2 to 3 years
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Course contentDetailed course guide
Students will take a total of 8 courses, 4 in each of the 1st and 2nd Semesters followed by a 3-month Project in the summer. A typical distribution for this programme is as follows:
- Modelling and Tools;
- Stochastic Simulation;
- Numerical Analysis (PDEs);
- Mathematical Ecology
- Functional Analysis
- Numerical Analysis of ODEs
- Applied Mathematics E ( Thermodynamics of Fluids)
- Statistical Methods
- Applied Linear Algebra
- Mathematical Biology and Medicine
- Partial Differential Equations
- Data Assimilation with Application to Climate Change
- Bayesian Inference
Typical project subjects:
- Simulation of Granular Flow and Growing Sandpiles;
- Finite Element Discretisation of ODEs and PDEs;
- Domain Decomposition;
- Computational Spectral Theory;
- Mathematical Modelling of Crime;
- Mathematical Modelling of Micro-electron Mechanical Systems.
- Can we Trust Eigenvalues on a Computer?
The final part of the MSc is an extended project in computational mathematics, giving the opportunity to investigate a topic in some depth guided by leading research academics from our 5-rated mathematics and statistics groups.
Detailed course descriptions are available on our student pages.
Entry is aimed at graduates with strong mathematical knowledge and skills. A good honours degree in mathematics, statistics or a related subject with a substantial mathematical content is desired. Motivation and a willingness to work hard are also important pre-requisites.
English language requirements
If your first language is not English, or your first degree was not taught in English, we’ll need to see evidence of your English language ability. The minimum requirement for English language is IELTS 6.5 or equivalent. We offer a range of English language courses to help you meet the English language requirement prior to starting your masters programme:
- 14 weeks English (for IELTS of 5.5 with no more than one skill at 4.5);
- 10 weeks English (for IELTS of 5.5 with minimum of 5.0 in all skills);
- 6 weeks English (for IELTS 5.5 with minimum of 5.5 in reading & writing and minimum of 5.0 in speaking & listening)
|Scotland / Non-UK EU||£7168||£3584||£896**|
|England / Northern Ireland / Wales||£7168||£3584||£896**|
* If you are unsure which category you fall in to, you should complete a fee status enquiry form, which allows us to assess your fees.
** Fee per course (module). Refer to the Course Content to see how many courses comprise the full programme.
Scholarships and bursaries
We aim to encourage well-qualified, ambitious students to study with us and we offer a wide variety of scholarships and bursaries to achieve this. Over £6 million worth of opportunities are available in fee and stipend scholarships, and more than 400 students benefit from this support.
View our full range of postgraduate taught scholarships.