Mathematical Modelling and Scientific Computing MSc
Course Overview - Mathematical Modelling and Scientific Computing MSc
The information provided on this page was correct at the time of publication (November 2025). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas.
The MSc in Mathematical Modelling and Scientific Computing is a one-year masters course providing training in the application of mathematics to a wide range of problems in science and technology.
The course places emphasis on the formulation of problems, on the analytical and numerical techniques for a solu...
<strong>The information provided on this page was correct at the time of publication (November 2025). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas.</strong> <br/><br/>The MSc in Mathematical Modelling and Scientific Computing is a one-year masters course providing training in the application of mathematics to a wide range of problems in science and technology. <br/><br/>The course places emphasis on the formulation of problems, on the analytical and numerical techniques for a solution, and the computation of useful results.<br/><br/>The intended learning outcomes of the MSc in Mathematical Modelling and Scientific Computing are to gain knowledge of<br/><br/><br/>- core methods of applied mathematics and numerical analysis;<br/><br/><br/>- computer programming of mathematical algorithms;<br/><br/><br/>- mathematical modelling;<br/><br/><br/>- more advanced topics in modelling, methods and numerical analysis;<br/><br/><br/>- how to undertake a short research project in an area of applied mathematics; and<br/><br/><br/>- how to communicate mathematics effectively, both orally and in written form.<br/><br/><br/>Course structure<br/>The course consists of both taught courses and a dissertation.<br/><br/>To complete the course, you must complete 12 units. You will accumulate four units in core courses, two units in special topics, two units in case studies and four units in the dissertation. In addition, you will usually attend classes in practical numerical analysis and additional skills during Michaelmas term and in mathematical modelling during Hilary term.<br/><br/>Each core courses consists of 16 lectures, classes, and a written examination.<br/><br/>In the first term (Michaelmas term), you should expect your weekly schedule to consist of 4-6 hours of core course lectures and 2-3 hours of practical numerical analysis or scientific computing case study classes and additional skills classes, then a further two hours of lectures for each special topic course followed. In addition, there are around three hours of classes for the core courses and special topics, and you should expect to spend time working through the associated problem sheets prior to each class. There are similar contact hours in the second term (Hilary term), and there will be revision classes and exams during the third term (Trinity term).<br/><br/>The expectation is that you will spend the beginning and end of the third term as well as the long vacation working on your dissertation. During this time, you should expect to work hours that are equivalent to full-time working hours, although extra hours may occasionally be needed. You will be expected to write special topic and case study reports during the Christmas and Easter vacations.
Course Information
1 option available
Some courses vary and have tailored teaching options, select a course option below.
Course Details
Information
Study Mode
Full-time
Duration
12 Months
Start Date
10/2026
Campus
University of Oxford
Application Details
Varied
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
O33
Points of Entry
Unknown
Search Postgraduate Courses at University of Oxford
Take the next steps at University of Oxford with our postgraduate course search.
Fees and funding
Unfortunately, we're unable to gather fee information for this course.






















