Groups of students working together
Students in the Department of Statistics
(Image Credit: John Cairns)

MSc in Statistical Science

About the course

The MSc in Statistical Science is a twelve-month full-time taught master’s degree running from October to September each academic year. The MSc has a particular focus on modern computationally-intensive theory and methods.

The MSc in Statistical Science will aim 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 MSc 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, report writing and dissertation supervision. You will have around three months to work on your dissertation with guidance from your supervisor, offering you a substantial opportunity for self-directed study and research. 

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, and the lists below may provide an idea of a typical offering.

The core courses available for entry in 2023-24 were:

  • Applied Statistics
  • Foundations of Statistical Inference
  • Statistical Programming
  • Computational Statistics
  • Statistical Machine Learning.

The option modules available for entry in 2023-24 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.

Please note that the modules listed may not be the same for 2024-25 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) in addition to writing a dissertation. 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 two 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.

Dissertation

The MSc offers a substantial opportunity for independent study and research in the form of a dissertation. The main period for dissertation work is June to September (though you may do some preparatory work for your dissertation earlier in the year) and during this time students should expect to work hours that are equivalent to full-time working hours, although extra hours may occasionally be needed.

The dissertation is undertaken under the guidance of a supervisor and will typically involve investigating and writing in a particular area of statistical science, without the requirement (while not excluding the possibility) of obtaining original results. A dissertation gives students the opportunity to develop broader transferable skills in the processes of organising, communicating, and presenting their work, and will equip students well for further research or for a wide variety of other careers.

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, through practical coursework set during the year, and by the quality and depth of your dissertation (done mostly over the period June to early September).

Graduate destinations

Graduates of the MSc find employment in financial, economic, governmental, scientific and industrial areas. The MSc can also be a useful stepping stone for doctoral studies, with around a third of students on the course taking this route.

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.

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 or strong upper second-class undergraduate degree with honours in a degree course with advanced mathematical and statistical content.

However, entrance to the course is very competitive and most successful applicants have a first-class degree or the equivalent.

For applicants with a degree from the USA, the minimum GPA sought is 3.6 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.

Minimum scores required to meet the University's higher level requirement
TestMinimum overall scoreMinimum score per component
IELTS Academic (Institution code: 0713) 7.57.0

TOEFL iBT, including the 'Home Edition'

(Institution code: 0490)

110Listening: 22
Reading: 24
Speaking: 25
Writing: 24
C1 Advanced*191185
C2 Proficiency191185

*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.

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.

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.

Resources

The department occupies a building in the centre of Oxford.

The principal computing resource for the MSc in Statistical Science is the IT teaching suite. 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 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.

You will also have access to a number of University libraries, and the centrally provided electronic resources.

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. Oxford’s Mathematical Sciences submission came first in the UK on all criteria in the 2021 Research Excellence Framework (REF).

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.

Further information about funding opportunities for this course can be found on the department's website.

Costs

Annual fees for entry in 2024-25

Fee status

Annual Course fees

Home£15,840
Overseas£36,000

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.

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, 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 MSc 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'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

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.

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.

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.

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 a 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.

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 for the course. The statement should summarise your background as it relates to applying for the MSc 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 MSc, 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. You'll find the answers to most common queries in our FAQs.

Application Guide Apply

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