Subsections

• 2.1 DPhil
• 2.2 MSc by Research
• 2.3 MSc in Mathematics and the Foundations of Computer Science
• 2.4 MSc in Mathematical Modelling and Scientific Computing
• 2.5 MSc in Mathematical and Computational Finance
• 2.6 Recognized Student Status
• 2.7 Visiting Student Status
• 2.8 Part-time degree of MSc, or Diploma, in Mathematical Finance

2 Possible Course Categories

Students are accepted in the following categories:

• for the degree of DPhil (see section 2.1)
• for the degree of MSc by research (see section 2.2)
• for the degree of MSc in Mathematics and the Foundations of Computer Science (see section 2.3)
• for the degree of MSc in Mathematical Modelling and Scientific Computing (see section 2.4)
• for the degree of MSc in Mathematical and Computational Finance (see section 2.5)
• as a Recognized Student (see section 2.6)
• as a Visiting Student (see section 2.7)

   

  We do not accept part time students for the above courses.

   

• for the part-time degree of MSc, or Diploma, in Mathematical Finance (see section 2.8)

2.1 DPhil

This is a higher research degree suitable only for able candidates. An upper second class degree or equivalent is a minimum requirement. The DPhil requires a significant and substantial contribution to knowledge. Students are normally admitted initially to a probationary status and approved for transfer to DPhil only when the Mathematical Institute is satisfied of their ability to attempt such a contribution; this transfer involves the submission of written work and an oral examination.  The minimum period of registration for the DPhil is six terms (including any time registered for the MSc or as a probationary research student), but in practice most students need nine terms at least. Please contact Sandy Patel at the Mathematical Institute for further information.

2.2 MSc by Research

The MSc by research is exactly like a doctorate, but with a research project designed to take less time (normally two years, though it is possible to complete the requirements in a single year). It is not intended as a first step towards a DPhil, but rather as an alternative to a DPhil. There are no associated lectures, classes or written examinations. It can be in any of the subject areas for which supervision is available. Those hoping to do an MSc by research are admitted as ``Probationer Research Students" in exactly the same way as those intending to do a DPhil. Thus it is quite possible to switch between the two. The same standards are applied for admission for the two degrees. Relatively few students opt for the MSc by research, and in most cases the decision is due to limitations on the period for which they have funding. Please contact Sandy Patel at the Mathematical Institute for further information.

2.3 MSc in Mathematics and the Foundations of Computer Science

Over the last 10 years or so, there has been an explosion in the use of computers in helping to solve mathematical problems. Such problems range from the extremes of pure number theory across the spectrum of mathematics to solving differential equations originating in biology and engineering. In this 12 month course, the emphasis is on combining those parts of mathematics which both gain from, and contribute to, the theoretical aspects of computer science. The mathematical schedules in this MSc concentrate on Algebra, General Topology, Number Theory, Logic and Combinatorics. Every student will be required to pay regard to, and show proficiency in, the applicable parts of the course. This MSc will be of great benefit to those graduate students hoping to do research on the frontiers of mathematics and computer science. It aims to produce students well equipped either to start work on a doctorate or to enter the research side of industry.

Students take courses from two sections: Section A (Mathematical Foundations) and Section B (Applicable Theories). The course is suitable for those who wish to pursue research in pure mathematics (especially algebra, number theory, combinatorics, general topology and their computational aspects), mathematical logic, or theoretical computer science. It is also suitable for students wishing to enter industry with an understanding of the mathematical and logical basis to many modern techniques in information technology (for example, machine learning, programming language design and concurrency). Applicants should have a strong mathematical background, that is, a good honours degree in Mathematics or a good honours degree in Computer Science containing a significant mathematical component. Please contact Sandy Patel at the Mathematical Institute for further information.

2.4 MSc in Mathematical Modelling and Scientific Computing

This 12 month course aims to train graduates with a strong mathematical background to develop and apply their skills to the solution of real problems. Students study a common core, evenly balanced between mathematical modelling and numerical analysis, together with four special topics chosen from a variety of lecture courses in the two areas. The common core is assessed by a written examination in April and the remainder of the year is spent on a dissertation: a typical dissertation will be concerned with a real problem with an industrial, financial, or biological background and will involve both mathematical and numerical analysis. The course provides good training for research in applied mathematics either in industry or in academia. For further information please see the course web site.

2.5 MSc in Mathematical and Computational Finance

The finance sector is a leading employer of mathematics graduates. This MSc is a 10 month course training graduates with a strong mathematical background to apply their expertise to the solution of real finance problems. Students take a minimum of four core courses in mathematical methods and numerical analysis, and a minimum of two optional courses. The core courses are assessed by two three-hour written examinations. Each of the optional courses is assessed by a short project. Students must also complete a dissertation of between 25 and 40 pages on a topic approved by the examiners. Training will be given in research techniques and methods, and presentational skills. Please contact Tunde Balazs at the Mathematical Institute for further information.

2.6 Recognized Student Status

This status is intended primarily for graduates of some years' standing engaged in research elsewhere who wish to work in Oxford on a specific topic under the guidance of a person familiar with the relevant area of study. It is not a status generally granted to young graduates who merely wish to spend a year in Oxford. Recognized Students do not follow any formal course of study. Admission is at the discretion of the Mathematical department, which is also responsible for appointing the student's academic adviser. Recognized Students may use University libraries and attend lectures in the University but they have no formal association with an Oxford college and are responsible for finding their own accommodation in Oxford. The status may be held for a maximum of three terms. Further details and application forms are available from the Graduate Studies Office, University Offices, Wellington Square, Oxford OX1 2JD.

2.7 Visiting Student Status

This attachment is arranged through a college. The College accepting a Visiting Student arranges for the student's tuition and supervision. The status may be held for a maximum of three terms. Further details and application forms are available from individual colleges or from the Oxford Colleges Admissions Office.

2.8 Part-time degree of MSc, or Diploma, in Mathematical Finance

The MSc/Diploma Programme is a two-tier course on modelling and applications of mathematics in finance. The programme covers the most important technical and quantitative aspects of finance in regular use in financial institutions.

This programme is intended for students who have a degree in mathematics, a mathematical science or an equivalent training, as well as some practical experience in finance, usually via employment in a financial institution. For more information please visit the course website.