Mathematical Modelling and Scientific Computing
Master
In Oxford
Description
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Type
Master
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Location
Oxford
About the course
This one-year master's course provides training in the application of mathematics to a wide range of problems in science and technology. Emphasis is placed on the formulation of problems, on the analytical and numerical techniques for a solution and the computation of useful results.
Facilities
Location
Start date
Start date
Reviews
Subjects
- GCSE Mathematics
- Finance
- Mathematics
- Supervisor
- Computing
- IT
Course programme
The course consists of both taught courses and a dissertation. To complete the course you must complete 13 units.
There are four core courses which you must complete (one unit each), which each usually consist of 24 lectures, classes and an examination. There is one course on mathematical methods and one on numerical analysis in both Michaelmas term and Hilary term. Each course is assessed by written examination in Week 0 of the following term.
Additionally, you must choose at least one special topic in the area of modelling and one in computation (one unit each). There are around 25 special topic courses to choose from, spread over all three academic terms, each usually consisting of 12 to 16 lectures and a mini project, which culminates in a written report of up to 20 pages. Topics covered include mathematical biology, fluid mechanics, perturbation methods, the mathematics of data, numerical solution of differential equations and scientific computing.
You must also undertake at least one case study in mathematical modelling and one in scientific computing (one unit each), normally consisting of four weeks of group work, an oral presentation and a report delivered in Hilary term.
There is also a dissertation (four units) of around 40 to 50 pages, which does not necessarily need to represent original ideas. Since there is another MSc focussed on mathematical finance specifically, the MSc in Mathematical and Computational Finance, you are not permitted to undertake a dissertation in this field.
You will normally accumulate four units in core courses, three units in special topics, two units in case studies and four units in the dissertation. In addition, you will usually attend classes in mathematical modelling, practical numerical analysis and additional skills during Michaelmas term.
In the first term, students should expect their weekly schedule to consist of around seven hours of core course lectures and seven hours of modelling, practical numerical analysis and additional skills classes, then a further two hours of lectures for each special topic course followed. In addition there are about three hours of problem solving classes to go through core course exercises and students should expect to spend time working through the exercises then submitting them for marking prior to the class. There are slightly fewer contact hours in the second term, but students will spend more time working in groups on the case studies.
In the third term there are some special topic courses, including one week intensive computing courses, but the expectation is that students will spend most of the third term and long vacation working on their dissertations. During this time, students should expect to work hours that are equivalent to full-time working hours, although extra hours may occasionally be needed. Students are expected to write special topic and case study reports during the Christmas and Easter vacations, as well as revising for the core course written examinations.
SupervisionThe allocation of graduate supervision for this course is the responsibility of the Mathematical Institute and it is not always possible to accommodate the preferences of incoming graduate students to work with a particular member of staff. Under exceptional circumstances a supervisor may be found outside the Mathematical Institute.
You will be assigned an initial supervisor on arrival in Oxford whose role is to act as an academic advisor during the first two terms of the course. In the third term, your supervisor will usually change when you start work on your dissertation.
Graduate destinationsFurther research into mathematics and/or computer science or industry.
Changes to this course and your supervision The University will seek to deliver this course in accordance with the description set out in this course page. However, there may be situations in which it is desirable or necessary for the University to make changes in course provision, either before or after registration. In certain circumstances, for example due to visa difficulties or because the health needs of students cannot be met, it may be necessary to make adjustments to course requirements for international study. Where possible your academic supervisor will not change for the duration of your course. However, it may be necessary to assign a new academic supervisor during the course of study or before registration for reasons which might include sabbatical leave, parental leave or change in employment. For further information, please see our page on changes to courses.
Other courses you may wish to consider If you're thinking about applying for this course, you may also wish to consider the courses listed below. These courses may have been suggested due to their similarity with this course, or because they are offered by the same department or faculty.
All graduate courses offered by the Mathematical Institute
Mathematical and Computational Finance MSc
Mathematical and Theoretical Physics MSc
Mathematical Modelling and Scientific Computing MSc
Mathematical Modelling of Random Systems: Analysis, Models and Algorithms EPSRC CDT
Mathematical Sciences MSc
Mathematics DPhil
Mathematics MSc by Research
Mathematics and Foundations of Computer Science MSc
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Entry requirements
Mathematical Modelling and Scientific Computing