MSc in Mathematical Modelling and Scientific Computing

Summary

Oxford's M.Sc. in Mathematical Modelling and Scientific Computing aims to train graduates with a strong mathematical background to develop and apply their skills to the solution of real problems. By the end of the course students should be able to formulate a well posed problem in mathematical terms from a possibly sketchy verbal description, carry out appropriate mathematical analysis, select or develop an appropriate numerical method, write a computer program which gives sensible answers to the problem, and present and interpret these results for a possible client. Particular emphasis is placed on the need for all these parts in the problem solving process, and on the fact that they frequently interact and cannot be carried out sequentially.

More information about the course, including links to the course synopses, can be found on the current students' course webpage.

Application Procedure

Applications for the M.Sc. should be made via the University's online graduate admissions form which you can find at stage 7 of the application guide. Prospective applicants are encouraged to read the whole graduate application guide before applying.

The University page about the M.Sc. in Mathematical Modelling and Scientific Computing provides information about deadlines for application to the course, the selection criteria, the fees for the course and the colleges which accept students on the course. Students whose native language is not English or whose first language is English but are not nationals of the UK, Ireland or a majority English-speaking country recognised by UK Visas and Immigration (UKVI), will be required to demonstrate English language proficiency at the higher level or to request an English language test waiver. For more details see the University page about English language proficiency.

Enquiries about the course should be directed to the Course Director, Dr Kathryn Gillow,  email: kathryn.gillow@maths.ox.ac.uk.

College Place

Oxford is a Collegiate University, in which every student of the University must also be a member of a college. For our M.Sc. students, a college typically provides subsidised accommodation and meals, library and computing facilities as well as sports equipment and a social centre, with a graduate common room, bar etc, but all teaching takes place within the Mathematical Institute. On the Graduate Application Form you may specify one choice of college or alternatively you may specify no college preference and an initial college will be allocated automatically. If you specify no college preference the initial college allocation will be made centrally in the university and will be a random choice from the colleges still accepting applications. In either case, please note that college places for taught MSc courses are in short supply, and there is no guarantee that you will be accepted by your initial choice of college, however, we will approach further colleges on your behalf. To maximise your chances of obtaining a place at the college of your choice, we recommend that you submit your application as early as possible.

Funding

The M.Sc. provides a number of bursaries each year. These will not provide complete support, but are intended to help to meet the cost of attending the course. Generally only a few bursaries are awarded each year. All applicants who are offered a place on the course after one of the three main admissions deadline are automatically considered for these bursaries. These applicants will be assessed by the Admissions Committee on the basis of academic merit. The University provides some information about fees and scholarships.

A new government loan scheme for postgraduate students on Masters degrees in the UK was introduced at the beginning of the academic year 2016-17. These have a value of approximately £10,000 payable in three installments during the year. More information can be found on the on the University UK master's loans page, on the Prospects website at funding postgraduate study or on the FindAMasters website at New UK Government Postgraduate Loans Scheme.

Funding is also available from the Oxford Centre for Islamic Studies. The scholarships provide living expenses as well as College and University fees and are available to UK applicants who are Muslim and also to people who are nationals of certain developing countries in Asia and Africa. Applicants should state why the course of study is of relevance to the Muslim world and apply by application deadline 2. For more details see The Oxford Centre for Islamic Studies scholarships profile.

Graduates from the State University System of Florida (SUSF) and Israel are also eligible to apply to the Frost Scholarship Programme. Each year they will provide 10 full scholarships for Florida students and 4 full scholarships for students from Israel, to students studying on a range of courses, including the M.Sc. in Mathematical Modelling and Scientific Computing. Students who apply by the January deadline will automatically be considered. The full eligibility criteria and other details about the scholarship are available from the Frost Scholarship Programme (Florida) and Frost Scholarship Programme (Israel) websites.

We are also pleased to announce that, due to the support of Booking.com, the University can offer 10 scholarships to female Home/EU students studying MScs in mathematics, statistics and computer science in 2018-19. The scholarships will cover both fees and a stipend at the level of the national minimum doctoral stipend as set by the research councils. There is no separate application process for these scholarships: if you fulfil the eligibility criteria and apply by the January deadline,  you will automatically be considered for these scholarships. Selection is expected to take place by the end of April 2018.

Prerequisites

The usual background is a good undergraduate degree (for UK applicants this means a 2.1 or higher) in a subject with significant mathematical content.

A reasonable level of competency in mathematical analysis and linear algebra is required for this course. The speed at which the course proceeds does not allow any time to catch up on basic material. A detailed list of the minimally required basic knowledge is given in prerequisites.