PGDip in Statistical Science
About the course
The Postgraduate Diploma in Statistical Science is a nine-month taught course, running from October each academic year with a particular focus on modern computationally-intensive theory and methods. It is similar to the MSc in Statistical Science but there is no dissertation.
The PGDip aims to train you to solve real-world statistical problems. When completing the course, you should be able to choose an appropriate statistical method to solve a given problem of data analysis, implement the analysis on a computer, and communicate your results clearly and succinctly.
The course offers a broad high-level training in applied and computational statistics, statistical machine learning, and the fundamental principles of statistical inference. Training is delivered through mathematically demanding lectures and problems classes, hands-on practical sessions in the computer laboratory and report writing.
Students take a mixture of core courses and optional courses. The core courses are compulsory and involve practical components that students must complete.
Course modules
The core and option modules may vary from year to year.
The core courses available for entry in 2024-25 were:
- Applied Statistics
- Foundations of Statistical Inference
- Statistical Programming
- Computational Statistics
- Statistical Machine Learning.
The option modules available for entry in 2024-25 entry were:
- Stochastic Models in Mathematical Genetics
- Probability and Statistics for Network Analysis
- Advanced Topics in Statistical Machine Learning
- Advanced Simulation Methods
- Graphical Models
- Bayes Methods
- Algorithmic Foundations of Learning
- Climate Statistics.
Please note that the modules listed may not be the same for 2025-26 entry.
Pattern of learning and teaching
You will attend nine units worth of courses (with one unit corresponding to a 16-hour lecture course or equivalent). Depending on how the courses you take split between terms, you can expect to attend four or five (or, in exceptional cases, three or six) courses per term. Most courses have one-hour lectures per week supplemented by four classes (or the equivalent) per term, though for some courses there are associated practical sessions instead of, or in addition to, lectures or classes. The remainder of your study time in Michaelmas, Hilary and most of Trinity Term should be spent on self-study, consolidating on the material covered in lectures, working through the assignments set for each class and working on practical assignments. Students are expected to write reports on practical assignments during part of the Christmas and Easter vacations, as well as revising the material covered the previous term.
Attendance
The course is full-time and requires attendance in Oxford. Full-time students are subject to the University's Residence requirements.
Resources to support your study
As a graduate student, you will have access to the University's wide range of world-class resources including libraries, museums, galleries, digital resources and IT services.
The Bodleian Libraries is the largest library system in the UK. It includes the main Bodleian Library and libraries across Oxford, including major research libraries and faculty, department and institute libraries. Together, the Libraries hold more than 13 million printed items, provide access to e-journals, and contain outstanding special collections including rare books and manuscripts, classical papyri, maps, music, art and printed ephemera.
The University's IT Services is available to all students to support with core university IT systems and tools, as well as many other services and facilities. IT Services also offers a range of IT learning courses for students, to support with learning and research.
The principal computing resource for the Postgraduate Diploma in Statistical Science is the IT teaching suite in the department of Statistics. You will be able to use this to run software packages such as R, MATLAB and Python, as well as to prepare documents and reports. The IT teaching suite provides students with an excellent environment for training in computational statistics and statistical programming, as well as being a quiet place to work outside lectures. The building has other spaces for study and collaborative learning, including a library and a large interaction and social area.
Supervision
The allocation of graduate supervision for this course is the responsibility of the Department of Statistics 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 Department of Statistics.
Assessment
You will be assessed on your performance in a number of written examinations in May/June, and through practical coursework set during the year.
Graduate destinations
Graduates find employment in financial, economic, governmental, scientific and industrial areas.
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 if a pandemic, epidemic or local health emergency occurs. 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.
Entry requirements for entry in 2025-26
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 a degree course with advanced mathematical and statistical content.
For applicants with a degree from the USA, the minimum overall GPA that is normally required to meet the undergraduate-level requirement 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
Publications are not required.
English language proficiency
This course requires proficiency in English at the University's higher 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 higher level are detailed in the table below.
| Test | Minimum overall score | Minimum score per component |
|---|---|---|
| IELTS Academic (Institution code: 0713) | 7.5 | 7.0 |
TOEFL iBT, including the 'Home Edition' (Institution code: 0490) | 110 | Listening: 22 Reading: 24 Speaking: 25 Writing: 24 |
| C1 Advanced* | 191 | 185 |
| C2 Proficiency† | 191 | 185 |
*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
Interviews are not normally held as part of the admissions process.
When held, interviews may be in person or online, normally with two interviewers. Interviews are used only when the department needs to gather more information to fully assess an application before deciding whether to make an offer of a place.
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.
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.
Statistics
The University's Department of Statistics is a world leader in research in probability, bioinformatics, mathematical genetics and statistical methodology, including computational statistics, machine learning and data science.
You will be actively involved in a vibrant academic community by means of seminars, lectures, journal clubs, and social events. Research students are offered training in modern probability, stochastic processes, statistical methodology, computational methods and transferable skills, in addition to specialised topics relevant to specific application areas.
Much of the research in the Department of Statistics is either explicitly interdisciplinary or draws motivation from application areas, ranging from genetics, immunoinformatics, bioinformatics and cheminformatics, to finance and the social sciences.
The department is located on St Giles, in a building providing excellent teaching facilities and creating a highly visible centre for statistics in Oxford. The building has spaces for study and collaborative learning, including the library and large interaction and social area on the ground floor, as well as an open research zone on the second floor.
Oxford’s Mathematical Sciences submission came first in the UK on all criteria in the 2021 Research Excellence Framework (REF).
Funding
For this course, we recommend that you visit our dedicated funding pages which include details of a range of external funding and loan schemes for postgraduate study. Some scholarships may also be available through our fees, funding and scholarship search tool. You should review the information carefully, including the eligibility criteria and application deadlines, noting that not all funding opportunities are available for postgraduate diploma and postgraduate certificate courses.
Details of college-specific funding opportunities can also be found on individual college websites:
Please refer to the College preference section of this page to identify which of the colleges listed above accept students for this course.
For the majority of college scholarships, it doesn’t matter which college, if any, you state a preference for in your application. If another college is able to offer you a scholarship, your application can be moved to that college if you accept the scholarship. Some college scholarships may require you to state a preference for that college when you apply, so check the eligibility requirements carefully.
Annual fees for entry in 2025-26
Fee status | Annual Course fees |
| Home | £16,900 |
| Overseas | £38,410 |
How long do I need to pay 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.
What do course fees cover?
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 section below.
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 and living costs. However, as part of your course requirements, you may need to choose a dissertation, a project or a thesis topic. Please note that, depending on your choice of 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 and any additional course-specific costs, you will need to ensure that you have adequate funds to support your living costs for the duration of your course.
Living costs for full-time study
For the 2025-26 academic year, the range of likely living costs for a single, full-time student is between £1,425 and £2,035 for each month spent in Oxford. We provide the cost per month so you can multiply up by the number of months you expect to live in Oxford. Depending on your circumstances, you may also need to budget for the costs of a student visa and immigration health surcharge and/or living costs for family members or other dependants that you plan to bring with you to Oxford (assuming that dependant visa eligibility criteria are met).
Further information about living costs
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. For study in Oxford beyond the 2025-26 academic year, it is suggested that you budget for potential increases in living expenses of around 4% each year – although this rate may vary depending on the national economic situation. For further information, please consult our more detailed information about living costs, which includes a breakdown of likely living costs in Oxford for items such as food, accommodation and study costs.
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.
If you are a current Oxford student and you would like to remain at your current Oxford college, you should check whether it is listed below. If it is, you should indicate this preference when you apply. If not, you should contact your college office to ask whether they would be willing to make an exception. Further information about staying at your current college can be found in our Application Guide.
The following colleges accept students on the PGDip in Statistical Science:
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 is important for you to have your application considered under a particular deadline – eg under the 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 and when to apply in our Application Guide.
Application fee waivers
An application fee of £75 is payable for each application to this course. 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.
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.
If you have any questions about the course, you should contact the course administrator in the first instance, 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.
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.
Referees:
Three overall, at least two of which must be 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.
At least two academic references are required. A professional reference is acceptable as the third reference in the exceptional case that the referee is able to offer comparable information on your background and suitability for the course to an academic referee.
Your references will support your intellectual ability, academic achievement, academic potential and motivation, particularly with regard to the mathematical sciences.
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 this course. Most applicants choose to submit a document of one to two pages highlighting their academic achievements and any relevant professional experience.
Personal statement:
A maximum of 1,000 words
Your statement should be written in English and explain your motivation for applying for the course at Oxford and your relevant experience and education. You should explain why you are interested in studying the course. The statement should summarise your background as it relates to applying for the PGDip and the advanced mathematical and statistical content you have covered (or are in the process of covering, if you are currently completing a degree).
If possible, please ensure that the word count is clearly displayed on the document.
This will be assessed for your reasons and motivation for applying; evidence of motivation for, and understanding of, the broad area covered by the PGDip; capacity for sustained and intense work; reasoning ability; the ability to absorb ideas at a rapid pace.
Start or continue your 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.
Apply Continue applicationClosed
After you've submitted your application
Your application (including the supporting documents outlined above) will be assessed against the entry requirements detailed on this course page. Whether or not you have secured funding will not be taken into consideration when your application is assessed. You can find out more about our shortlisting and selection process in our detailed guide to what happens next.
Find out how to manage your application after submission, using our Applicant Self-Service tool.
ADMISSION STATUS
Closed to applications for entry in 2025-26
Register to be notified via email when the next application cycle opens (for entry in 2026-27)
Deadlines
12:00 midday UK time on:
Friday 15 November 2024
Applications more likely to receive earlier decisions
Wednesday 29 January 2025
Latest deadline for most Oxford scholarships
Tuesday 4 March 2025
Final application deadline for entry in 2025-26
| Full Time Only | |
|---|---|
| Course code | TD_SA2 |
| Expected length | Up to 1 year |
| Places in 2025-26† | See note |
| Applications/year* | 5 |
| Expected start | 6 October 2025 |
| English language | Higher level required |
†Included in number of places for MSc in Statistical Science
*Three-year average (applications for entry in 2022-23 to 2024-25)
Further information and enquiries
This course is offered by the
Department of Statistics
- Course page on the department's website
- Funding information from the department
- Academic and research staff
- Departmental research
- Mathematical, Physical and Life Sciences
- Residence requirements for full-time courses
- Postgraduate applicant privacy policy
Course-related enquiries
Advice about contacting the department can be found in the How to apply section of this page
✉ graduate.admissions@stats.ox.ac.uk
☎ +44 (0)1865 272870