A student writing formula on a white board
Studying calculations on a white board
(Image Credit: Joseph Caruana / Graduate Photography Competition)

DPhil in Mathematics

About the course

The DPhil in Mathematics is an advanced research degree which provides the opportunity to investigate a project in depth and write a thesis which makes a significant contribution in the field.  You will gain a wide range of research and other skills as well as in-depth knowledge and expertise in your chosen field, whilst studying in a beautiful, modern setting. 

During your study at Oxford, you can share in the excitement of contributing to research in one or more of the many topics studied by Oxford mathematicians. The department’s research covers the entire spectrum of mathematics, with subject areas including:

  • algebra (primarily group theory and representation theory)
  • number theory
  • algebraic geometry
  • differential geometry
  • topology
  • complex manifolds
  • global analysis
  • partial differential equations
  • functional analysis
  • stochastic analysis
  • dynamical systems
  • mathematical logic
  • optimisation
  • combinatorial theory
  • quantum theory
  • string theory
  • relativity
  • mathematical biology and ecology
  • mathematical modelling
  • fluid and continuum mechanics
  • mathematical and computational finance
  • numerical analysis
  • history of mathematics
  • mathematics applied to problems in earth sciences, materials science and finance
  • data science
  • network science.

You will be asked to outline your research interests when you apply by listing at least one but no more than three of the fields of research listed above on your application form. More information about the Research Groups in the Mathematical Institute can be found on the department's website. Full instructions for completing this section of the application form can be found in the How to apply section of this page.

You will be expected to acquire transferable skills as part of your training, which will require you to attend courses, lectures, workshops and colloquia. You will be expected to complete a minimum of 68 hours of broadening training during your studies, comprising the equivalent of 3 standard 16-hour lecture courses and attendance at relevant seminars and colloquia. You will have the opportunity to develop other valuable skills and to contribute to the teaching work of the department, both by marking students’ work and later by leading classes of around eight to twelve students.

Undertaking the course is regarded as equivalent to working full-time hours and may also sometimes require some additional hours. The minimum period of registration for the DPhil is six terms but in practice you may need nine terms at least.

Supervision

You will be invited to suggest a specific supervisor or supervisors in your application, and your preferences will be taken into account in allocating you a supervisor (which will be done before your arrival). The allocation of graduate supervision for this course is the responsibility of the Mathematical Institute and it is not always possible to accommodate the preferences of incoming graduate students to work with a particular member of staff. Under exceptional circumstances a supervisor may be found outside the Mathematical Institute. 

Students are expected to meet with their supervisors at least four times per term. A more typical pattern is weekly, at least until you reach the stage of writing up your thesis.

Assessment

All students will be initially admitted to the status of Probationer Research Student (PRS). Within four terms of admission as a PRS student you will be expected to apply for transfer of status from Probationer Research Student to DPhil status.

A successful transfer of status from PRS to DPhil status will require satisfactory attendance and the submission of a thesis. Students who are successful at transfer will also be expected to apply for and gain confirmation of DPhil status within nine terms of admission, to verify that their work continues to be on track. Both milestones normally involve an interview with two assessors (other than your supervisor) and therefore provide important experience for the final oral examination.

You will be expected to teach at least one set of classes before transfer of status and a further two additional sets before confirmation of status. You will be expected to acquire transferable skills as part of your training and to undertake 68 hours of broadening courses outside your specialist area. This normally involves the submission of written work for three 16-hour lecture courses and attendance at workshops and colloquia.

You will be expected to submit a substantial original thesis which should not exceed 200 pages after three or, at most, four years from the date of admission. To be successfully awarded a Doctor of Philosophy in Mathematics you will need to defend your thesis orally (viva voce) in front of two appointed examiners.

Graduate destinations

The department, working alongside the university’s Careers Service, supports graduate students as they move from the DPhil to the next stage of their career. Many graduate students stay in academia, by taking up a postdoctoral position, and many move into employment in a range of industries and sectors where the expertise and skills developed during the DPhil are highly valued.

Changes to this course and your supervision

The University will seek to deliver this course in accordance with the description set out in this course page. However, there may be situations in which it is desirable or necessary for the University to make changes in course provision, either before or after registration. The safety of students, staff and visitors is paramount and major changes to delivery or services may have to be made in circumstances of a pandemic, epidemic or local health emergency. In addition, in certain circumstances, for example due to visa difficulties or because the health needs of students cannot be met, it may be necessary to make adjustments to course requirements for international study.

Where possible your academic supervisor will not change for the duration of your course. However, it may be necessary to assign a new academic supervisor during the course of study or before registration for reasons which might include illness, sabbatical leave, parental leave or change in employment.

For further information please see our page on changes to courses and the provisions of the student contract regarding changes to courses.

EPSRC iCASE studentships

The Mathematics Institute, supported by EPSRC, iCASE and a number of industrial partners, is offering fully-funded studentships in a range of research areas that are listed below. Unless otherwise stated, these studentships are open to all applicants and all projects are offered on a full-time basis.

All Industrial CASE studentships provide the opportunity for the student to undertake at least three months’ worth of placement(s) with their industrial partner. Exact details are to be agreed between the student, supervisor and industrial partner. In line with EPSRC terms and conditions, all costs relating to placements will be covered by the industrial partner. 

No application fee will be charged to apply for any of the projects listed below. 

More information about iCASE studentships can be found on the UKRI website.

The How to apply section of this page provides further information about the application process and links to the application form. Any questions can be directed to the departmental administrator via the contact details provided on this page under Further information and enquiries.

Project J:
Enabling green aviation by oceanic air traffic optimisation

Supervisor(s) and Industrial Partner

Professor Samuel Cohen and either Professor Christoph Reisinger or Professor Raphael Hauser, and NATS

Restrictions

Applications are encouraged from Home and Overseas students by the 1st March deadline in order to be considered for the ICASE studentships. After this time, it is highly likely that your application will only be considered if you meet the criteria for a Home award as the Overseas studentship places are likely to have been allocated in full. Please refer to our information about fee status for details about how Home or Overseas status is determined. 

Description

While technological progress has enabled aircraft in cruise to be highly efficient, the need for air traffic controllers to make rapid decisions in a complex environment frequently leads to suboptimal allocation of trajectories, which in turn cause additional fuel burn and associated greenhouse gas emissions. Operational analysis conducted by NATS has indicated these suboptimal trajectories to be particularly impactful in the oceanic airspace, where aircraft could remain on less-than-optimal operating conditions throughout the transatlantic phase of flight.

This project aims to develop appropriate tools to support air traffic controllers to make optimised decisions, enabling more efficient trajectories to reduce fuel consumption and the formation of strongly warming contrails. At a mathematical level, this brings together the difficulty of modelling flight trajectories and their uncertainties (due to weather), numerical optimisation in high dimension and for non-convex problems, optimal stochastic control and reinforcement learning with operational constraints, and the use of various historical data sets as inputs to these modelling challenges.

You will be given the opportunity to contribute to this field by combining mathematical optimisation methods with operational procedures and data to develop a multi-objective optimisation tool of aircraft oceanic trajectories. To this end, you will be expected to:

  • perform a literature study, data analysis and interviews with subject matter experts to understand the state of the art;
  • develop optimisation methods to identify the optimum trajectory in the context of surrounding traffic on a per-aircraft basis;
  • expand these optimisation methods to identify the short-term fleet optimum at a given operational time period; and
  • assess the impact of future concepts on the identified optimum and suitable adaption strategies.

To ensure that you are developing models and tools fit for purpose, you will be embedded within NATS in organised placements and have access to data and regular exchanges with subject matter experts.

Project K:
Predicting the Epstein-Barr Virus vaccine induced response required to protect against Multiple Sclerosis

Supervisor(s) and Industrial Partner

Professor Robin Thompson and Professor Philip Maini (Mathematical Institute); Dr Anna Sher and Dr Rajat Desikan (GlaxoSmithKline)

Restrictions

Applications are encouraged from Home and Overseas students by the 1st March deadline in order to be considered for the ICASE studentships. After this time, it is highly likely that your application will only be considered if you meet the criteria for a Home award as the Overseas studentship places are likely to have been allocated in full. Please refer to our information about fee status for details about how Home or Overseas status is determined. 

Description

Mathematical models are playing a growing role in understanding the dynamics of infectious disease outbreaks and guiding control interventions. They are particularly useful because the long-term effects of infectious disease can be numerous and complex, including affecting other health conditions. For example, recent epidemiological studies have demonstrated that there is a strong association between infection with Epstein-Barr Virus (EBV) and chronic debilitating neurological diseases such as Multiple Sclerosis (MS). This raises the possibility that vaccination against EBV may reduce MS incidence in host populations. This studentship offers an exciting opportunity to develop mathematical infectious disease models as part of a collaboration with GlaxoSmithKline (GSK), a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease.

This project will involve developing mathematical models of within-host EBV dynamics and linking those models with information about neurological disease to explore the mechanistic pathways leading to a risk of MS in EBV-infected and uninfected hosts. This will include mechanistic modelling of the impact of EBV vaccination on within-host immune responses, enabling the population-scale effects of vaccination on EBV infection and MS incidence to be explored. Ultimately, this will allow the potential for EBV vaccination as a strategy for protection against MS to be evaluated using virtual patients and in silico clinical trials.

Mechanistic and statistical models will be developed to address the following key questions:

  • Can the link between EBV infection and MS be quantified using a modelling framework incorporating within-host viral dynamics models?;
  • What is the effect of population heterogeneity (eg host age, host immune status) on the outcomes of EBV infection and the risk of subsequent MS onset, including identification of host populations that are more at-risk than others?
  • How useful is population-scale deployment of EBV vaccines for reducing MS incidence?

This project will be supervised by Professor Robin Thompson (Mathematical Institute, University of Oxford), in collaboration with Prof. Philip Maini (Mathematical Institute, University of Oxford) and industry partners (Dr Anna Sher and Dr Rajat Desikan, Clinical Pharmacology Modelling and Simulation, GSK). The candidate will have the opportunity to undertake a three-month placement at GSK at some stage during their DPhil studies.

Additional entry requirements

This project will involve a combination of mathematical modelling using deterministic and stochastic models, statistical modelling and computer coding. The ideal candidate will have a strong quantitative background (eg an MMath or BSc in Mathematics, Mathematical Biology, Engineering or other related discipline) and experience of writing computing code in an appropriate coding language (eg R, Python, Matlab or equivalent). They should also be interested in learning about new areas of biology and drug development, and should have strong writing and oral communication skills.

Entry requirements for entry in 2024-25

Proven and potential academic excellence

The requirements described below are specific to this course and apply only in the year of entry that is shown. You can use our interactive tool to help you evaluate whether your application is likely to be competitive.

Please be aware that any studentships that are linked to this course may have different or additional requirements and you should read any studentship information carefully before applying. 

Degree-level qualifications

As a minimum, applicants should hold or be predicted to achieve the following UK qualifications or their equivalent:

  • a first-class undergraduate degree with honours in mathematics or a related discipline.

A previous master's degree is not required, though the requirement for a first-class undergraduate degree with honours can be alternatively demonstrated by strong performance in a master's degree.

For applicants with a degree from the USA, the minimum GPA sought is 3.7 out of 4.0.

If your degree is not from the UK or another country specified above, visit our International Qualifications page for guidance on the qualifications and grades that would usually be considered to meet the University’s minimum entry requirements.

GRE General Test scores

No Graduate Record Examination (GRE) or GMAT scores are sought.

Other qualifications, evidence of excellence and relevant experience

  • Research or working experience in the proposed research area may be an advantage.
  • Publications are not expected.

English language proficiency

This course requires proficiency in English at the University's standard level. If your first language is not English, you may need to provide evidence that you meet this requirement. The minimum scores required to meet the University's standard level are detailed in the table below.

Minimum scores required to meet the University's standard level requirement
TestMinimum overall scoreMinimum score per component
IELTS Academic (Institution code: 0713) 7.06.5

TOEFL iBT, including the 'Home Edition'

(Institution code: 0490)

100Listening: 22
Reading: 24
Speaking: 25
Writing: 24
C1 Advanced*185176
C2 Proficiency185176

*Previously known as the Cambridge Certificate of Advanced English or Cambridge English: Advanced (CAE)
Previously known as the Cambridge Certificate of Proficiency in English or Cambridge English: Proficiency (CPE)

Your test must have been taken no more than two years before the start date of your course. Our Application Guide provides further information about the English language test requirement.

Declaring extenuating circumstances

If your ability to meet the entry requirements has been affected by the COVID-19 pandemic (eg you were awarded an unclassified/ungraded degree) or any other exceptional personal circumstance (eg other illness or bereavement), please refer to the guidance on extenuating circumstances in the Application Guide for information about how to declare this so that your application can be considered appropriately.

References

You will need to register three referees who can give an informed view of your academic ability and suitability for the course. The How to apply section of this page provides details of the types of reference that are required in support of your application for this course and how these will be assessed.

Supporting documents

You will be required to supply supporting documents with your application. The How to apply section of this page provides details of the supporting documents that are required as part of your application for this course and how these will be assessed.

Performance at interview

Technical interviews are normally held as part of the admissions process.

If invited you can expect to be interviewed by at least two people and for the interview to last around 30 minutes. The interview will take place remotely.

It is expected that interviews will take place around three to five weeks after an application deadline.

How your application is assessed

Your application will be assessed purely on your proven and potential academic excellence and other entry requirements described under that heading.

References and supporting documents submitted as part of your application, and your performance at interview (if interviews are held) will be considered as part of the assessment process. Whether or not you have secured funding will not be taken into consideration when your application is assessed.

An overview of the shortlisting and selection process is provided below. Our 'After you apply' pages provide more information about how applications are assessed

Shortlisting and selection

Students are considered for shortlisting and selected for admission without regard to age, disability, gender reassignment, marital or civil partnership status, pregnancy and maternity, race (including colour, nationality and ethnic or national origins), religion or belief (including lack of belief), sex, sexual orientation, as well as other relevant circumstances including parental or caring responsibilities or social background. However, please note the following:

  • socio-economic information may be taken into account in the selection of applicants and award of scholarships for courses that are part of the University’s pilot selection procedure and for scholarships aimed at under-represented groups;
  • country of ordinary residence may be taken into account in the awarding of certain scholarships; and
  • protected characteristics may be taken into account during shortlisting for interview or the award of scholarships where the University has approved a positive action case under the Equality Act 2010.

Initiatives to improve access to graduate study

This course is taking part in a continuing pilot programme to improve the selection procedure for graduate applications, in order to ensure that all candidates are evaluated fairly.

For this course, socio-economic data (where it has been provided in the application form) will be used to contextualise applications at the different stages of the selection process. Further information about how we use your socio-economic data can be found in our page about initiatives to improve access to graduate study.

If you wish, you may submit an additional contextual statement (using the instructions in the How to apply section of this page) to provide further information on your socio-economic background or personal circumstances in support of your application. Further information about how your contextual statement will be used can be found in our page about initiatives to improve access to graduate study.

This course is also taking part in the 'Close the Gap' project which aims to improve access to doctoral study.

Processing your data for shortlisting and selection

Information about processing special category data for the purposes of positive action and using your data to assess your eligibility for funding, can be found in our Postgraduate Applicant Privacy Policy.

Admissions panels and assessors

All recommendations to admit a student involve the judgement of at least two members of the academic staff with relevant experience and expertise, and must also be approved by the Director of Graduate Studies or Admissions Committee (or equivalent within the department).

Admissions panels or committees will always include at least one member of academic staff who has undertaken appropriate training.

Other factors governing whether places can be offered

The following factors will also govern whether candidates can be offered places:

  • the ability of the University to provide the appropriate supervision for your studies, as outlined under the 'Supervision' heading in the About section of this page;
  • the ability of the University to provide appropriate support for your studies (eg through the provision of facilities, resources, teaching and/or research opportunities); and
  • minimum and maximum limits to the numbers of students who may be admitted to the University's taught and research programmes.

Offer conditions for successful applications

If you receive an offer of a place at Oxford, your offer will outline any conditions that you need to satisfy and any actions you need to take, together with any associated deadlines. These may include academic conditions, such as achieving a specific final grade in your current degree course. These conditions will usually depend on your individual academic circumstances and may vary between applicants. Our 'After you apply' pages provide more information about offers and conditions

In addition to any academic conditions which are set, you will also be required to meet the following requirements:

Financial Declaration

If you are offered a place, you will be required to complete a Financial Declaration in order to meet your financial condition of admission.

Disclosure of criminal convictions

In accordance with the University’s obligations towards students and staff, we will ask you to declare any relevant, unspent criminal convictions before you can take up a place at Oxford.

Academic Technology Approval Scheme (ATAS)

Some postgraduate research students in science, engineering and technology subjects will need an Academic Technology Approval Scheme (ATAS) certificate prior to applying for a Student visa (under the Student Route). For some courses, the requirement to apply for an ATAS certificate may depend on your research area.

Mathematics

Mathematics has been studied in Oxford since the University was first established in the 12th century. The Mathematical Institute aims to preserve and expand mathematical culture through excellence in teaching and research.

The Mathematical Institute offers a wide range of graduate courses, including both taught master’s courses and research degrees. Research and teaching covers the spectrum of pure and applied mathematics with researchers working in fields including:

  • algebra
  • geometry
  • topology
  • logic
  • number theory
  • combinatorics
  • analysis
  • mathematical physics
  • mathematical finance
  • mathematical modelling
  • mathematical biology
  • networks
  • numerical analysis.

Graduate students are an integral part of the department, interacting with each other and with academic staff as part of a vibrant community that strives to further mathematical study. As a graduate student at Oxford you will benefit from excellent resources, extensive training opportunities and supportive guidance from your supervisor or course director.

The Mathematical Institute has strong ties with other University departments including Computer Science, Statistics and Physics, teaching several courses jointly. Strong links with industrial and other partners are also central to the department.

Resources

The Mathematical Institute's home is the purpose-built Andrew Wiles Building, opened in 2013. This provides ample teaching facilities for lectures, classes and seminars. Each research student is allocated an office in the Andrew Wiles Building that they will share with 3 or 4 other students: each student has their own desk, with a computer. The Mathematical Institute provides IT support, and students can use the department's Whitehead Library, with an extensive range of books and journals.

In addition to the common room, where graduate students regularly gather for coffee and other social occasions, there is also a café in the Andrew Wiles Building.

The department offers extensive support to students, from regular skills training and career development sessions to a variety of social events in a welcoming and inclusive atmosphere. You will have the opportunity to interact with fellow students and other members of your research groups, and more widely across the department. The department is committed to offering you the best supervision and to providing a stimulating research environment.

Funding

The University expects to be able to offer over 1,000 full or partial graduate scholarships across the collegiate University in 2024-25. You will be automatically considered for the majority of Oxford scholarships, if you fulfil the eligibility criteria and submit your graduate application by the relevant December or January deadline. Most scholarships are awarded on the basis of academic merit and/or potential. 

For further details about searching for funding as a graduate student visit our dedicated Funding pages, which contain information about how to apply for Oxford scholarships requiring an additional application, details of external funding, loan schemes and other funding sources.

Please ensure that you visit individual college websites for details of any college-specific funding opportunities using the links provided on our college pages or below:

Please note that not all the colleges listed above may accept students on this course. For details of those which do, please refer to the College preference section of this page.

Costs

Annual fees for entry in 2024-25 

Fee status

Annual Course fees

Home£9,500
Overseas£26,290

Further details about fee status eligibility can be found on the fee status webpage.

Information about course fees

Course fees are payable each year, for the duration of your fee liability (your fee liability is the length of time for which you are required to pay course fees). For courses lasting longer than one year, please be aware that fees will usually increase annually. For details, please see our guidance on changes to fees and charges.

Course fees cover your teaching as well as other academic services and facilities provided to support your studies. Unless specified in the additional information section below, course fees do not cover your accommodation, residential costs or other living costs. They also don’t cover any additional costs and charges that are outlined in the additional information below.

Continuation charges

Following the period of fee liability, you may also be required to pay a University continuation charge and a college continuation charge. The University and college continuation charges are shown on the Continuation charges page.

Where can I find further information about fees?

The Fees and Funding section of this website provides further information about course fees, including information about fee status and eligibility and your length of fee liability.

Additional information

There are no compulsory elements of this course that entail additional costs beyond fees (or, after fee liability ends, continuation charges) and living costs. However, please note that, depending on your choice of research topic and the research required to complete it, you may incur additional expenses, such as travel expenses, research expenses, and field trips. You will need to meet these additional costs, although you may be able to apply for small grants from your department and/or college to help you cover some of these expenses.

Living costs

In addition to your course fees, you will need to ensure that you have adequate funds to support your living costs for the duration of your course.

For the 2024-25 academic year, the range of likely living costs for full-time study is between c. £1,345 and £1,955 for each month spent in Oxford. Full information, including a breakdown of likely living costs in Oxford for items such as food, accommodation and study costs, is available on our living costs page. The current economic climate and high national rate of inflation make it very hard to estimate potential changes to the cost of living over the next few years. When planning your finances for any future years of study in Oxford beyond 2024-25, it is suggested that you allow for potential increases in living expenses of around 5% each year – although this rate may vary depending on the national economic situation. UK inflationary increases will be kept under review and this page updated.

College preference

Students enrolled on this course will belong to both a department/faculty and a college. Please note that ‘college’ and ‘colleges’ refers to all 43 of the University’s colleges, including those designated as societies and permanent private halls (PPHs). 

If you apply for a place on this course you will have the option to express a preference for one of the colleges listed below, or you can ask us to find a college for you. Before deciding, we suggest that you read our brief introduction to the college system at Oxford and our advice about expressing a college preference. For some courses, the department may have provided some additional advice below to help you decide.

The following colleges accept students on the DPhil in Mathematics:

Before you apply

Our guide to getting started provides general advice on how to prepare for and start your application. You can use our interactive tool to help you evaluate whether your application is likely to be competitive.

If it's important for you to have your application considered under a particular deadline – eg under a December or January deadline in order to be considered for Oxford scholarships – we recommend that you aim to complete and submit your application at least two weeks in advance. Check the deadlines on this page and the information about deadlines in our Application Guide.

Application fee waivers
Application fee automatically waived for 'Standard'-type EPSRC iCASE studentship applications

All applications except EPSRC iCASE studentships

An application fee of £75 is payable per course application. Application fee waivers are available for the following applicants who meet the eligibility criteria:

  • applicants from low-income countries;
  • refugees and displaced persons; 
  • UK applicants from low-income backgrounds; and 
  • applicants who applied for our Graduate Access Programmes in the past two years and met the eligibility criteria.

You are encouraged to check whether you're eligible for an application fee waiver before you apply.

EPSRC iCASE studentship applications

The application fee of £75, which is usually payable per course application, will be waived for EPSRC iCASE studentship applications to this course. You should apply for the studentship using the relevant button below. When selecting the application type, please choose 'Standard'. When you submit your application you will not be shown the screen that collects payment details and you will not need to enter a waiver code.

Readmission for current Oxford graduate taught students

If you're currently studying for an Oxford graduate taught course and apply to this course with no break in your studies, you may be eligible to apply to this course as a readmission applicant. The application fee will be waived for an eligible application of this type. Check whether you're eligible to apply for readmission.

Application fee waivers for eligible associated courses

If you apply to this course and up to two eligible associated courses from our predefined list during the same cycle, you can request an application fee waiver so that you only need to pay one application fee.

The list of eligible associated courses may be updated as new courses are opened. Please check the list regularly, especially if you are applying to a course that has recently opened to accept applications.

Do I need to contact anyone before I apply?

You do not need to make contact with the department before you apply but you are encouraged to visit the relevant departmental webpages to read any further information about your chosen course.

However, if you would like to speak to an academic member of staff involved in your preferred area of research, you may get in touch with them directly or via the course administrator using the contact details provided on this page.

Completing your application

You should refer to the information below when completing the application form, paying attention to the specific requirements for the supporting documents.

For this course, the application form will include questions that collect information that would usually be included in a CV/résumé. You should not upload a separate document. If a separate CV/résumé is uploaded, it will be removed from your application.

If any document does not meet the specification, including the stipulated word count, your application may be considered incomplete and not assessed by the academic department. Expand each section to show further details.

Proposed field and title of research project

Under the section titled 'Field and title of research project', you are strongly encouraged to name at least one but no more than three research groups that you would like your application to be seen by. More information about the Research Groups in the Mathematical Institute can be found on the department's website.

You should not use this field to type out a full research proposal. You will be able to upload your research supporting materials separately if they are required (as described below).

Proposed supervisor

If known, under 'Proposed supervisor name' enter the name of the academic(s) who you would like to supervise your research. Otherwise, leave this field blank.

You can enter up to four names and you should list them in order of preference or indicate equal preference. 

Referees:
Three overall, academic preferred

Whilst you must register three referees, the department may start the assessment of your application if two of the three references are submitted by the course deadline and your application is otherwise complete. Please note that you may still be required to ensure your third referee supplies a reference for consideration.

Your references should generally be academic, though up to one professional reference will be accepted.

Your references should describe your intellectual ability, academic achievement, motivation, and aptitude for advanced research.

Official transcript(s)

Your transcripts should give detailed information of the individual grades received in your university-level qualifications to date. You should only upload official documents issued by your institution and any transcript not in English should be accompanied by a certified translation.

More information about the transcript requirement is available in the Application Guide.

Contextual statement

If you wish to provide a contextual statement with your application, you may also submit an additional statement to provide contextual information on your socio-economic background or personal circumstances in support of your application.

Submit a contextual statement

It is not necessary to anonymise this document, as we recognise that it may be necessary for you to disclose certain information in your statement. This statement will not be used as part of the initial academic assessment of applications at shortlisting, but may be used in combination with socio-economic data to provide contextual information during decision-making processes.

Please note, this statement is in addition to completing the 'Extenuating circumstances’ section of the standard application form.

You can find more information about the contextual statement on our page that provides details of the continuing pilot programme to improve the assessment procedure for graduate applications.

Statement of purpose/personal statement:
A maximum of 1,000 words

Your statement should be written in English and explain your reasons for applying for the course at Oxford, your relevant experience and education, and the specific areas that interest you and/or you intend to specialise in. This will be assessed for evidence of motivation for and understanding of the proposed area of study and whether a suitable supervisor can be found.

If possible, please ensure that the word count is clearly displayed on the document.

Start or continue a non-studentship application

You can start or return to an application using the relevant link below. As you complete the form, please refer to the requirements above and consult our Application Guide for advice. You'll find the answers to most common queries in our FAQs.

Application Guide Apply

Start or continue an EPSRC iCASE studentship application

You can start or return to an application using the relevant link below. As you complete the form, please refer to the requirements above and consult our Application Guide for advice. You'll find the answers to most common queries in our FAQs.

Project J: 
Enabling green aviation by oceanic air traffic optimisation

Mode of study: Full time only

Further information: The Studentships section of this course page provides further details about this project, including funding restrictions. Please read this carefully before applying.

Application deadline: 12:00 midday (UK time) on Friday 22 March 2024. 

Apply

Project K:
Predicting the Epstein-Barr Virus vaccine induced response required to protect against Multiple Sclerosis

Mode of study: Full time only

Further information: The Studentships section of this course page provides further details about this project, including funding restrictions. Please read this carefully before applying.

Application deadline: Friday 1 March 2024. Applications may remain open after this deadline if places are still available - one week's notice of closure will be provided on this page.

Apply

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