Mathematical Modelling of Random Systems: Analysis, Models and Algorithms (EPSRC Centre for Doctoral Training) | University of Oxford
Maths Institute
The Mathematics Institute, looking towards the Radcliffe Observatory
(Image Credit: Sheng Peng (DPhil in History) / Graduate Photography Competition)

Mathematical Modelling of Random Systems: Analysis, Models and Algorithms (EPSRC Centre for Doctoral Training)

The Centre for Doctoral Training (CDT) in Mathematical Modelling of Random Systems is a four-year doctoral programme that offers academically outstanding students training in the areas of probabilistic modelling and stochastic analysis at Imperial and Oxford. 

The Mathematical Modelling of Random Systems CDT offers a comprehensive four-year doctoral training course in stochastic analysis, probability theory, stochastic modelling, computational methods and applications arising in biology, physics, quantitative finance, healthcare and data science. It provides solid training in core skills related to probability theory, stochastic modelling, data analysis, stochastic simulation, optimal control and probabilistic algorithms. 

Research topics focus on five Foundation areas:

1. Stochastic analysis: foundations and new directions
2. Stochastic partial differential equations
3. Random combinatorial structures: trees, graphs, networks, branching processes
4. Stochastic computational methods and optimal control
5. Random dynamical systems and ergodic theory

and five application areas:

6. Randomness and universal behaviour in physical systems
7. Stochastic modelling and data-driven modelling in finance
8. Mathematical modelling in biology and healthcare
9. Mathematical and algorithmic challenges in data science
10. Mean-field models and agent-based modelling

In the first year, students follow four Core courses on Foundation areas and three elective courses, and choose a main research topic and a research supervisor. This research project will then be expected to evolve into a DPhil thesis in years two to four. Progress will be assessed at approximately 15 months (transfer of status) and after 39 months (confirmation of status). These assessments involve the submission of written work and an oral examination.

Throughout the four years of the course, students will participate in various CDT activities with their cohort, including a CDT spring retreat, the annual summer school as well as regular seminars, workshops and training in transferrable skills such as communication, ethics and team-working.

The CDT has multiple industry partners in the areas of data analytics, finance and healthcare who provide funding for DPhil projects linked to their areas of activity. Candidates with an interest in industry-related research projects are encouraged to apply. Industry-funded DPhil projects provide students with the opportunity to actively engage with our industry partners through collaborative research.

Supervision

Research will be supervised by CDT faculty from the Mathematical Institute or the Department of Statistics. A list of supervisors may be found on the CDT website. 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.

Graduate destinations

This is a new programme and there are no alumni yet. The CDT in Mathematical Modelling of Random Systems will aim to provide postdoctoral research opportunities in the UK and abroad through the CDT's international network of academic partners, and by providing industry placement opportunities through our numerous industry partners.

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. 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 sabbatical leave, parental leave or change in employment.

For further information, please see our page on changes to courses.

Other courses you may wish to consider

If you're thinking about applying for this course, you may also wish to consider the courses listed below. These courses may have been suggested due to their similarity with this course, or because they are offered by the same department or faculty.

Other courses suggested by the department

Statistics DPhil
Statistical Science MSc

Entry requirements for entry in 2020-21

Proven and potential academic excellence

Degree-level qualifications

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

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

A previous master's degree is not required, although the requirement for a first-class undergraduate degree with honours may 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 may be an advantage.
  • Publications are not expected.

English language requirement

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. 

Detailed requirements - standard level

The minimum scores required to meet the University's standard level are:

IELTS Academic 7.0Minimum 6.5 per component
TOEFL iBT100

Minimum component scores:

  • Listening: 22
  • Reading: 24
  • Speaking: 25
  • Writing: 24
Cambridge Certificate of Advanced English (CAE) or C1 Advanced185Minimum 176 per component
Cambridge Certificate of Proficiency in English (CPE) or C2 Proficiency185Minimum 176 per component

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

Supporting documents 

You will be required to supply supporting documents with your application, including references and an official transcript. See 'How to apply' for instructions on the documents you will need 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 could take place face-to-face or by telephone or Skype.

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

Supervision

Any offer of a place is dependent on the University’s ability to provide the appropriate supervision for your chosen area of work. Please refer to the ‘About’ section of this page for more information about the provision of supervision for this course.

How your application is assessed

Your application will be assessed purely on academic merit and potential, according to the published entry requirements for the course. Students are selected for admission without regard to gender, marital or civil partnership status, disability, race, nationality, ethnic origin, religion or belief, sexual orientation, age or social background. Whether you have secured funding will not be taken into consideration when your application is assessed.

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.

After an offer is made

If you receive an offer of a place at Oxford, you will 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 Tier 4 visa. Further information can be found on our Tier 4 (General) Student visa page. For some courses, the requirement to apply for an ATAS certificate may depend on your research area.

Resources

The home of the Mathematical Institute is the purpose-built Andrew Wiles Building, opened in 2013. This provides ample teaching facilities for lectures, classes and seminars. In year one, students are based in a cohort study room in the Andrew Wiles Building. In years two to four, each student is allocated an office that they will share with three or six 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. Students will be expected to travel to visit Imperial College London, and travel costs will be covered by the CDT. At Imperial students will be provided access to library facilities and to a dedicated working space where "hot-desks" will be available.

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 aims to offer excellent supervision and provide a stimulating research environment.

Funding

There are over 1,100 full or partial graduate scholarships available across the University. You will be automatically considered for over two thirds of Oxford scholarships, if you fulfil the eligibility criteria and submit your graduate application by the relevant January deadline, with most scholarships awarded on the basis of academic merit and/or potential. To help identify those scholarships where you will be required to submit an additional application, use the Fees, funding and scholarships search and visit individual college websites using the links provided on our college pages.

Costs

Annual fees for entry in 2020-21

Fee status

Annual Course fees

Home/EU (including Islands)£7,970
Overseas£22,050

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 likely increases 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.

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.

For more information about course fees and fee liability, please see the Fees section of this website. EU applicants should refer to our dedicated webpage for details of the implications of the UK’s plans to leave the European Union.

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 2020-21 academic year, the range of likely living costs for full-time study is between c. £1,135 and £1,650 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. When planning your finances for any future years of study in Oxford beyond 2020-21, you should allow for an estimated increase in living expenses of 3% each year.

Colleges

The following colleges accept student on the Mathematical Modelling of Random Systems CDT:

How to apply

You are welcome to contact academics involved in their preferred area of research, although this is not a necessary prerequisite to the application process. If you are unsure of who to contact, please use the contact details provided on this page and your email will be forwarded onto the relevant academic.

The set of documents you should send with your application to this course comprises the following:

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.

CV/résumé

A CV/résumé is compulsory for all applications. Most applicants choose to submit a document of one to two pages highlighting their academic achievements and any relevant professional experience.

Statement of purpose/personal statement:
Up to two pages

Your statement should be written in English and explain your motivation 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 provided.

References/letters of recommendation:
Three overall, generally academic

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 will support intellectual ability, academic achievement, motivation and your ability to work in a group.

Start or continue an application

Step 1: Read our guide to getting started, which explains how to prepare for and start an application.

Step 2: Check that you meet the Entry requirements and read the How to apply information on this page.

Step 3: Check the deadlines on this page and plan your time to submit your application well in advance.

Step 4: Our Application Guide will help you complete the form. It contains links to FAQs and further help.

Step 5: Submit your application as soon as possible (you can read more information about our deadlines).

Application GuideApply

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