MSc in Mathematical Modelling and Scientific Computing
Overview
Oxford's M.Sc. in Mathematical Modelling and Scientific Computing trains graduates with strong mathematical backgrounds to develop and apply their skills to solve real-world problems. By the end of the course, students should be able to to translate possibly incomplete verbal descriptions into well-posed mathematical problems, perform 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. 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.
Key Facts
Course length | 12 months |
English language requirement | Higher level required |
Mode of assessment
| Written examinations Mini Projects Case Studies Dissertation |
Link to University Admissions page | MSc in Mathematical Modelling and Scientific Computing |
Link to Fees, Funding and Scholarship search | Graduate fees, funding and scholarship search |
Course Structure
The course consists of core lecture courses assessed by written examination, further lecture courses assessed by written report (of which students choose two from a list of about 20), group work in case studies also assessed by written report, and a dissertation which students work on for about four months.
For further information about the course, including synopses for the lecture courses and the course handbook, please visit the MSc in Mathematical Modelling and Scientific Computing page for current students.
How to Apply
Applications for the MSc should be made via the University's online graduate admissions form which you can link to from the University page about the M.Sc. in Mathematical Modelling and Scientific Computing (click on the "How to apply" tab and then on the blue "apply" button at the bottom of the page).
Prospective applicants are also encouraged to read the graduate application guide before applying.
Key Contacts
Course Contact: @email
Course Director: Dr Kathryn Gillow