Overview
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.
This Mathematical Modelling and Scientific Computing course is offered at the University of Oxford.
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.
Supervision
The 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 destinations
Further research into mathematics and/or computer science or industry.
Programme Structure
Courses include:
- There are four core courses which you must complete (one unit each), which each usually consist of 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). Topics covered include mathematical biology, fluid mechanics, perturbation methods, the mathematics of data, numerical solution of differential equations and scientific computing.
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Oxford, United Kingdom
Disciplines
Computer Sciences Computational Mathematics View 22 other Masters in Computational Mathematics in United KingdomWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Academic requirements
English requirements
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Other requirements
General requirements
- Official transcript(s)
- CV/résumé
- Statement of purpose/personal statement: A maximum of 700 words
- Written work: Two essays of a maximum of 2,000 words each
- References/letters of recommendation: Three overall, all of which must be academic
Tuition Fees
-
International Applies to you
Applies to youNon-residents41250 GBP / year≈ 41250 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents15300 GBP / year≈ 15300 GBP / year
Living costs
Oxford
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Mathematical Modelling and Scientific Computing.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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