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Full time — Closed
Graduate

MSc in Mathematical Modelling and Scientific Computing

The MSc in Mathematical Modelling and Scientific Computing is a one-year master's course providing training in the application of mathematics to a wide range of problems in science and technology.

Closed: Full time

Closed to applications for entry in 2026-27. Register to receive an email when applications open (for entry in 2027-28). 

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Expected length:
  • Full time: 12 months
Expected start date:
  • Full time:
English language level:
  • Higher level required
The Mathematical Institute, St Luke’s Chapel and the Penrose paving

The Mathematical Institute (University of Oxford Images / John Cairns Photography)

About the course

The course places emphasis on the formulation of problems, on the analytical and numerical techniques for a solution, and the computation of useful results.

The intended learning outcomes of the MSc in Mathematical Modelling and Scientific Computing are to gain knowledge of

  • core methods of applied mathematics and numerical analysis;
  • computer programming of mathematical algorithms;
  • mathematical modelling;
  • more advanced topics in modelling, methods and numerical analysis;
  • how to undertake a short research project in an area of applied mathematics; and
  • how to communicate mathematics effectively, both orally and in written form.

Course structure

This section provides an overview of the course structure, while details of the individual course components are provided below.

The course consists of both taught courses and a dissertation.

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.

Each core courses consists of 16 lectures, classes, and a written examination.

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).

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.

Core components

You will take at least four core courses, undertake a case study and submit a dissertation.

Option modules

You will choose at least two option modules.

Course details

Entry requirements

For entry in 2026-27

Funding and costs

College preference

Before you apply

Completing your application

Contact details