A UK 2:1 degree, or its international equivalent, in a numerate discipline such as mathematics, engineering, computer or physical sciences.
Previous study of applied mathematics, probability and differential equations at university level will be required.
Applicants should have studied a university level course with a substantial programming element, or have an equivalent level of programming experience.
You can increase your chances of a successful application by exceeding the minimum programme requirements.
For 2020 entry we accept the following English language qualifications at the grades specified*:
IELTS Academic: total 6.5 with at least 6.0 in each component.
TOEFL-iBT (including Special Home Edition): total 92 with at least 20 in each section. We do not accept TOEFL MyBest Score to meet our English language requirements.
PTE Academic: total 61 with at least 56 in each of the Communicative Skills scores.
CAE and CPE: total 176 with at least 169 in each paper.
Trinity ISE: ISE II with distinctions in all four components.
For 2021 entry we will accept the following English language qualifications at the grades specified*:
IELTS Academic: total 6.5 with at least 6.0 in each component.
TOEFL-iBT (including Special Home Edition): total 92 with at least 20 in each section.We do not accept TOEFL MyBest Score to meet our English language requirements.
CAE and CPE: total 176 with at least 169 in each paper.
Trinity ISE: ISE II with distinctions in all four components.
*(Revised 21 February 2020 to remove PTE Academic from 2021 entry requirements. Revised 21 April 2020 to include TOEFL-iBT Special Home Edition in 2020 and 2021 entry requirements.)
Your English language qualification must be no more than three and a half years old from the start date of the programme you are applying to study, unless you are using IELTS, TOEFL, PTE Academic or Trinity ISE, in which case it must be no more than two years old.
Computational Mathematics, in particular the physical applied areas and the theory and implementation of numerical methods and algorithms, have wide-ranging applications in both the public and private sectors. More recently, in this era of ubiquitous and cheap computing power, there has been an explosion in the number of problems that require us to understand processes by modelling them, and to use data sets that are large. Thus the subject of Computational Mathematics has become increasingly prominent. Consequently there is high demand also for computational modellers and data scientists. This programme concentrates on the overlap and synergy between these fields.
The programme consists of 120 credits of courses in total during Semesters 1 and 2, followed by a 60 credit dissertation which is completed during the Summer. The courses taken will be dependent on the availability of courses each year which may be subject to change as curriculum develops to reflect a modern degree programme.
The first semester is composed of a combination of compulsory and optional courses. The compulsory courses will build strong applied mathematical and computational foundations. The curriculum is completed with optional courses in related subjects such as statistics and optimization.
The second semester is again composed of a combination of compulsory and optional courses, building on the skills gained in Semester 1. The compulsory courses include Research Skills, which will prepare you for the Summer Dissertation Project. The optional courses cover a wide range of areas including, for example, data science, high performance computing, and related disciplines such as Informatics and Physics.
The 60 credit individual dissertation will take the form of a supervised research-style project on a topic proposed by a staff member of the Applied and Computational Mathematics group. The aim of the project is to provide practical experience and skills for tackling scientific problems which require both computational approaches and mathematical insight. This will include identifying and applying appropriate mathematical and numerical techniques, interpreting the results, and presenting the conclusions.
Find out more about compulsory and optional courses
We link to the latest information available. Please note that this may be for a previous academic year and should be considered indicative.
This programme will provide training in the tools and techniques of mathematical modelling and scientific computing, and will provide students with skills for problem solving using modern techniques of applied mathematics.
