The course provides you with a strong mathematical background with the skills necessary to apply your expertise to the solution of real finance problems. You will develop skills so that you are able to formulate a well posed problem from a description in financial language, carry out relevant mathematical analysis, develop and implement an appropriate numerical scheme and present and interpret these results.
The course lays the foundation for further research in academia or for a career as a quantitative analyst in a financial or other institution.
You will take three introductory courses in the first week. The introductory courses cover partial differential equations, probability and statistics and MATLAB.
The first term focuses on compulsory core material, offering 80 hours of lectures and 40 hours of classes/practical. The core courses are as follows:
In the second term, three streams are offered; each stream consists of 32 hours of lectures and 16 hours of classes/practical. The Tools stream is mandatory and you will also take either the Modelling stream or the Data-driven stream.
As well as the streams, the course includes a compulsory one-week (24 hours of lectures) intensive module on quantitative risk management which is to be held in/around the week before the third term.
The third term is dedicated to a dissertation project which is to be written on a topic chosen in consultation with your supervisor.
The second component of the financial computing course, Financial Computing with C++ 2 (24 hours of lectures and practicals in total), is held shortly after the third term.
The examination will consist of the following elements:
MSc graduates have been recruited by prominent investment banks and hedge funds. Many past students have also progressed to PhD-level studies at leading universities in Europe and elsewhere.
The course is run jointly by the Mathematical Institute and the Department of Physics. It provides a high-level, internationally competitive training in mathematical and theoretical physics, right up to the level of modern research. It covers the following main areas:
The course concentrates on the main areas of modern mathematical and theoretical physics: elementary-particle theory, including string theory, condensed matter theory (both quantum and soft matter), theoretical astrophysics, plasma physics and the physics of continuous media (including fluid dynamics and related areas usually associated with courses in applied mathematics in the UK system). If you are a physics student with a strong interest in theoretical physics or a mathematics student keen to apply high-level mathematics to physical systems, this is a course for you.
The course offers considerable flexibility and choice; you will be able to choose a path reflecting your intellectual tastes or career choices. This arrangement caters to you if you prefer a broad theoretical education across subject areas or if you have already firmly set your sights on one of the subject areas, although you are encouraged to explore across sub-field boundaries.
You will have to attend at least ten units' worth of courses, with one unit corresponding to a 16-hour lecture course or equivalent. You can opt to offer a dissertation as part of your ten units. Your performance will be assessed by one or several of the following means:
The modes of assessment for a given course are decided by the course lecturer and will be published at the beginning of each academic year. As a general rule, foundational courses will be offered with an invigilated exam while some of the more advanced courses will typically be relying on the other assessment methods mentioned above. In addition, you will be required to give an oral presentation towards the end of the academic year which will cover a more specialised and advanced topic related to one of the subject areas of the course. At least four of the ten units must be assessed by an invigilated exam and, therefore, have to be taken from lecture courses which provide this type of assessment. A further three units must be assessed by invigilated written exam, take-home exam or mini-project. Apart from these restrictions, you are free to choose from the available programme of lecture courses.
The course offers a substantial opportunity for independent study and research in the form of an optional dissertation (worth at least one unit). The dissertation is undertaken under the guidance of a member of staff and will typically involve investigating and write in a particular area of theoretical physics or mathematics, without the requirement (while not excluding the possibility) of obtaining original results.
This one-year master's course provides training in the application of mathematics to a wide range of problems in science and technology. Emphasis is placed on the formulation of problems, on the analytical and numerical techniques for a solution and the computation of useful results.
By the end of the course students should be able to formulate a well posed problem in mathematical terms from a possibly sketchy verbal description, carry out appropriate 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 for a possible client. Particular 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.
The course consists of both taught courses and a dissertation. To complete the course you must complete 13 units.
There are four core courses which you must complete (one unit each), which each usually consist of 24 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 least one special topic in the area of modelling and one in computation (one unit each). There are around twenty special topics to choose from, spread over all three academic terms, each usually consisting for 12 to 16 lectures and a mini project, which culminates in a written report of around 20 pages. Topics covered include mathematical biology, fluid mechanics, perturbation methods, numerical solution of differential equations and scientific programming.
You must also undertake at least one case study in modelling and one in scientific computing (one unit each), normally consisting of four weeks of group work, an oral presentation and a report delivered in Hilary term.
There is also a dissertation (four units) of around 50 pages, which does not necessarily need to represent original ideas. Since there is another MSc focussed on mathematical finance specifically, the MSc in Mathematical and Computational Finance, you are not permitted to undertake a dissertation in this field.
You will normally accumulate four units in core courses, three units in special topics, two units in case studies and four units in the dissertation. In addition, you will usually attend classes in mathematical modelling, practical numerical analysis and additional skills during Michaelmas term.
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.
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.
The MSc in Mathematics and Foundations of Computer Science, run jointly by the Mathematical Institute and the Department of Computer Science, focuses on the interface between pure mathematics and theoretical computer science.
The mathematical side concentrates on areas where computers are used, or which are relevant to computer science, namely algebra, general topology, number theory, combinatorics and logic. Examples from the computing side include computational complexity, concurrency, and quantum computing. Students take a minimum of five options and write a dissertation.
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 design and concurrency.
The course will consist of examined lecture courses and a written dissertation. The lecture courses will be divided into two sections:
Each section shall be divided into schedule I (basic) and schedule II (advanced). Students will be required to satisfy the examiners in at least two courses taken from section B and in at least two courses taken from schedule II. The majority of these courses should be given in the first two terms.
During Trinity term and over the summer students should complete a dissertation on an agreed topic. The dissertation must bear regard to course material from section A or section B, and it must demonstrate relevance to some area of science, engineering, industry or commerce.
It is intended that a major feature of this course is that candidates should show a broad knowledge and understanding over a wide range of material. Consequently, each lecture course taken will receive an assessment upon its completion by means of a test based on written work. Students will be required to pass five courses, that include two courses from section B and two at the schedule II level - these need not be distinct - and the dissertation.
The course runs from the beginning of October through to the end of September, including the dissertation.
This one year, residential, taught M.Sc. provides graduate students, scientists and clinicians with highly advanced theoretical and practical understanding of human reproductive biology, embryology, infertility and assisted reproductive technology (ART) along with intensive ‘hands-on’ practical training in essential laboratory skills and the sophisticated gamete micromanipulation techniques associated with ART. The MSc course is based alongside Oxford Fertility in purpose-built premises, the Institute of Reproductive Sciences, with dedicated state-of-the-art teaching and research facilities.
Our broad intention is to inspire, motivate and train a network of future leaders in clinical embryology throughout the world. Additionally, our students benefit from intensive training in a range of laboratory skills highly suitable for a research career in reproductive science.
The course runs over a period of one year, from October to September, incorporating the three University terms: Michaelmas, Hilary and Trinity. Fundamental reproductive science and laboratory methods/practical skills are taught in the first term (Michaelmas) over five discrete modules. Applied and clinical aspects are delivered in the second term (Hilary) over a further set of five modules. Each module is delivered over a period of one to three weeks and together, the ten modules comprise the ‘core content’ of the course. The third term (Trinity) is extended to allow sufficient time for a high quality research project.
The deadline for applications for the MSc in Clinical Embryology starting in October 2018 is 12 noon (midday) GMT on Monday 8th January 2018. Please see our Graduate Admissions page for further details: http://www.ox.ac.uk/admissions/graduate/courses/msc-clinical-embryology
The MSc in Global Health Science and Epidemiology is a one-year full-time degree that provides core training in the basic skills of epidemiology and statistics, followed by detailed lectures on the global burden and determinants of disease. The course is open to graduates in medicine, biomedical science and other numerate disciplines.
The course is now open to applications for admission in October 2018. All applications received by the deadline of Monday 8th January 2018 will automatically be considered for all relevant competitive University funding opportunities, including the Clarendon Fund, Medical Research Council funding, and various College funds.
For further details about eligibility and the application process, please contact our Graduate Studies Office via [email protected].
The course will provide advanced training in epidemiological principles and procedures and the statistical analysis of epidemiological data, critical appraisal, study design and protocol development together with advanced knowledge and understanding of the global burden of disease and its determinants. This is an intensive course with 15-20 hours of contact time per week throughout the taught component of the course.
The curriculum consists of thirteen compulsory modules:
• Introduction to Global Health Science
• Principles of Epidemiology
• Principles of Statistics
• Non-communicable Diseases
• Communicable Diseases
• Maternal and Child Health
• Health Economics
• Clinical Trials and Meta-analysis
• Nutritional Epidemiology
• Implementation Strategies
• Genetic Epidemiology
• Record Linkage and Bio-informatics
• International Research Ethics
In addition a series of weekly 'masterclasses' is scheduled in which internationally-recognised senior scientists in population health from Oxford, and elsewhere, will give seminars on selected topics. These sessions will be outside of the structure of the core modules, and are intended to provide the students with stimulating materials to integrate population health thinking and perspectives.
The teaching is delivered through a range of methods, including lectures, seminars, workshops, student presentations, self-directed learning and study.
During the first two terms there are a series of formative assessments designed to enable teaching staff to monitor student progress. These marks do not contribute to the final marks. All students are provided with detailed feedback that will enable them to improve their learning by helping them identify their strengths and weaknesses.
There are four summative assessments in total. At the end of the Easter break this includes the submission of a data set analysis and report, and an extended essay. At the beginning of the third term there are two examinations involving two written papers comprising multi-component questions.
Following the written examinations students will undertake a research placement, leading to a dissertation. The purpose of the research placement and dissertation is to develop and deepen an appreciation and understanding of epidemiological concepts and skills learned during the course and to apply to a real world situation through independent study.