About the course
The MSc in Mathematical Sciences, known as the Oxford Master's in Mathematical Sciences (OMMS), provides a broad and flexible training in mathematical sciences and gives students with a keen interest in the mathematical sciences the chance to study a selection of interesting and varied master's-level courses.
Oxford has a world-class reputation in the mathematical sciences, and this master's offers students the opportunity to join Oxford's current fourth-year undergraduates and to work with an international group of peers, including other mathematical leaders of the future.
This course draws on subjects in mathematics, statistics and computer science: from number theory, geometry and algebra to genetics and mathematical physiology; from probability and mathematical geoscience to data mining and machine learning. You have the opportunity to choose from many options, tailoring the programme to your individual interests and requirements. This course runs from the beginning of October through to the end of June.
Teaching and learning
You will attend at least six units worth of courses (with one unit corresponding to a 16-hour lecture course supported by classes) in addition to writing a dissertation (worth two units). You will be encouraged to work collaboratively in classes, to develop your understanding of the material. Those wishing to extend themselves further might take one or two additional courses.
Depending on how many courses you take in total and how they split between terms, you can expect to attend two, three or four (or, in exceptional cases, five) lecture courses per term. Each lecture course has two one hour lectures per week supplemented by four 90 minute classes per term.
The remainder of your study time in the first two terms should be spent on self study, consolidating on the material covered in lectures, working through the problem sheets set for each class and working independently on your
dissertation. In the third term you will mostly work independently on your revision for exams, although optional revision classes will also be available to help guide your studies.
The MSc offers a substantial opportunity for independent study and research in the form of a dissertation. The dissertation is undertaken under the guidance of a supervisor and will typically involve investigating and writing in a particular area of mathematical sciences, 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.
You can expect a one hour meeting with your dissertation supervisor at the end of the first term, followed by a further three one hour meetings in the second term.
Please note that this course is not suitable for students whose primary focus is mathematical finance. These students should apply to the MSc in Mathematical and Computational Finance.
The allocation of graduate supervision for this course is the responsibility of the Mathematical Institute and 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 Mathematical Institute and the Department of Statistics.
The majority of lecture courses on the master’s are assessed by invigilated written examinations, although a minority of courses are assessed by a take-home exam known as a mini-project. The dissertation work culminates in a written report of approximately 25 to 35 pages and constitutes two of the minimum eight units you are required to take to complete the course.
It is expected that graduates will pursue a rich diversity of careers across academia and a wide range of industries.
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 (including Covid-19), 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.
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.
All graduate courses offered by the Mathematical Institute
All graduate courses offered by the Department of Statistics
Entry requirements for entry in 2021-22
Proven and potential academic excellence
As a minimum, applicants should hold or be predicted to achieve the equivalent of the following UK qualifications:
- a first-class or strong upper second-class undergraduate degree with honours in mathematics, statistics, data science and machine learning or a related discipline.
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
- Research or work experience in the proposed area of specialisation may be an advantage.
- Publications are not expected.
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.
English language requirement
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)
*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.
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 not normally held as part of the admissions process.
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:
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.
The Mathematical Institute’s home is the purpose-built Andrew Wiles Building, opened in 2013. The building provides ample teaching facilities for lectures and classes. The mezzanine level is home to six lecture theatres and six classrooms, as well as a café and study spaces. There is also a student workroom located on this level which contains a number of computers and desks to facilitate quiet study. The Mathematical Institute has wifi available throughout the building and offers IT support for students.
For those students taking courses or dissertation topics in the relevant subject area, you will have access to the various facilities at the Department of Statistics. The building is newly refurbished and contains spaces for study and collaborative learning, including a large interaction and social area on the ground floor. The Department of Statistics has two lecture rooms and two classrooms, as well as an IT teaching lab. Students will have also have access to the IT and library resources at the department.
The Mathematical Institute is proud to have received an Athena SWAN silver award in 2017, reflecting its commitment to promoting diversity and to creating a working environment in which students and staff alike can achieve their full potential. In addition, the Department of Statistics was awarded an Athena SWAN bronze award in 2017. The departments offer extensive support to students, from regular skills training and career development sessions to a variety of social events in a welcoming and inclusive atmosphere.
The University expects to be able to offer up to 1,000 full or partial graduate scholarships across the collegiate University in 2021-22. 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 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 college-specific funding opportunities using the links provided on our college pages.
Further information about funding opportunities for this course can be found on the Mathematical Institute website.
Annual fees for entry in 2021-22
Annual Course fees
|Home (UK, Republic of Ireland,|
Channel Islands & Isle of Man)
|Overseas (including EU)||£27,460|
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.
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 or research expenses. 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.
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 2021-22 academic year, the range of likely living costs for full-time study is between c. £1,175 and £1,710 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 2021-22, you should allow for an estimated increase in living expenses of 3% each year.
All graduate students at Oxford belong to a department or faculty and a college or hall (except those taking non-matriculated courses). 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. The Colleges section of this website provides information about the college system at Oxford, as well as factors you may wish to consider when deciding whether to express a college preference. Please note that ‘college’ and ‘colleges’ refers to all 45 of the University’s colleges, including those designated as Permanent Private Halls (PPHs).
For some courses, the department or faculty may have provided some additional advice below to help you to decide. Whatever you decide, it won’t affect how the academic department assesses your application and whether they decide to make you an offer. If your department makes you an offer of a place, you’re guaranteed a place at one of our colleges.
The following colleges accept students on the MSc in Mathematical Sciences:
How to apply
You are welcome to contact the Course Director, Dr Kathryn Gillow; however, this is not a necessary prerequisite to the application process.
The set of documents you should send with your application to this course comprises the following:
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.
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:
A maximum of 1,000 words
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.
If possible, please ensure that the word count is clearly displayed on the document.
This will be assessed for your reasons for applying, evidence of motivation for and understanding of the proposed area of study, commitment to the subject beyond the requirements of the degree course, capacity for sustained and intense work, reasoning ability, the ability to absorb abstract ideas and at a rapid pace and an indication of your intended pathway through the programme.
References/letters of recommendation:
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.
Your references will support your intellectual ability, academic achievement, academic potential, and motivation, particularly with regard to the mathematical sciences.
When completing your application, you will be asked for your ‘Proposed field and title of research project’. Please choose one preferred subject area from the following list, in order to give a broad indication of your academic area(s) of interest:
- Algebra, Geometry, Number Theory, Topology and Logic
- Analysis, Stochastic Analysis and Discrete Mathematics
- Applied Mathematics, Numerical Analysis and Computing
- Statistics, Probability, Data Science and Machine Learning.
This choice will allow the departments to identify for you a supervisor/academic advisor who will be best placed to advise you on potential pathways in those areas. Please note that this choice will in no way limit your options. After arriving, you will be completely free to pursue other directions.
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 the deadline information in our Application Guide. Plan your time to submit your application well in advance - we recommend two or three weeks earlier.
Step 4: Check if you're eligible for an application fee waiver. Application fee waivers are available for:
- UK applicants from low-income backgrounds who meet the eligibility criteria;
- residents in a country listed as low-income by the World Bank (refer to the eligibility criteria);
- current Oxford graduate taught students applying for readmission to an eligible course; and
- additional applications to selected research courses that are closely related to your first application.
Step 5: Start your application using the relevant link below. As you complete the form, consult our Application Guide for advice at each stage. You'll find the answers to most common queries in our FAQs.