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 cryptography; 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.
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.
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.
This course runs from the beginning of October through to the end of June. 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.
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 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. The Department of Statistics is currently applying for a silver award. 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.
It is expected that graduates will pursue a rich diversity of careers across academia and a wide range of industries.
Other courses in this area
- MSc in Mathematical Modelling and Scientific Computing
- MSc in Mathematics and Foundations of Computer Science
- MSc in Mathematical and Theoretical Physics
- MSc in Mathematical and Computational Finance
- MSc in Mathematical Finance
- MSc in Statistical Science
- DPhil in Mathematics
- DPhil in Statistics
Changes to the course
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. For further information, please see our page on changes to courses.
Entry requirements for entry in 2019-20
Within equal opportunities principles and legislation, applications will be assessed in the light of an applicant’s ability to meet the following entry requirements:
1. Academic ability
Proven and potential academic excellence
Applicants are normally expected to be predicted or have achieved a first-class or strong upper second-class undergraduate degree with honours (or equivalent international qualifications), as a minimum, 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 you hold non-UK qualifications and wish to check how your qualifications match these requirements, you can contact the National Recognition Information Centre for the United Kingdom (UK NARIC).
No Graduate Record Examination (GRE) or GMAT scores are sought.
Other appropriate indicators will include:
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.
Please note that as part of your statement of purpose/personal statement you will be asked to choose a preferred subject area in order to give a broad indication of your academic area(s) of interest. Full details including the list of subject areas are provided under 'How to apply'. This 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. Note that this will in no way limit your options: after arrival you will be completely free to pursue other directions.
Performance at interview(s)
Technical interviews are not normally held as part of the admissions process.
Publications are not expected.
Other qualifications, evidence of excellence and relevant experience
Research or working experience in the proposed research may be an advantage.
2. English language requirement
Applicants whose first language is not English are usually required to provide evidence of proficiency in English at the higher level required by the University.
3. Availability of supervision, teaching, facilities and places
The following factors will govern whether candidates can be offered places:
- The ability of the Mathematical Institute and the Department of Statistics to provide the appropriate supervision, research opportunities, teaching and facilities for your chosen area of work.
- Minimum and maximum limits to the numbers of students who may be admitted to Oxford's research and taught programmes.
The provision of supervision, where required, is subject to the following points:
- The allocation of graduate supervision 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.
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, maternity leave or change in employment.
4. Disability, health conditions and specific learning difficulties
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.
Decisions on admission are based solely on the individual academic merits of each candidate and the application of the entry requirements appropriate to the course.
Further information on how these matters are supported during the admissions process is available in our guidance for applicants with disabilities.
All recommendations to admit a student involve the judgment of at least two members of academic staff with relevant experience and expertise, and additionally must be approved by the Director of Graduate Studies or Admissions Committee (or equivalent departmental persons or bodies).
Admissions panels or committees will always include at least one member of academic staff who has undertaken appropriate training.
6. Other information
Whether you have yet secured funding is not taken into consideration in the decision to make an initial offer of a place, but please note that the initial offer of a place will not be confirmed until you have completed a Financial Declaration.
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 wi-fi 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.
There are over 1,000 full graduate scholarships available across the University, and these cover your course fees and provide a grant for living costs. If you apply by the relevant January deadline and fulfil the eligibility criteria you will be automatically considered. Over two thirds of Oxford scholarships require nothing more than the standard course application. Use the Fees, funding and scholarship search to find out which scholarships you are eligible for and if they require an additional application, full details of which are provided.
For students applying to programmes within the MPLS Division at Oxford, Research Council and other funding opportunities available, subject to eligibility. These opportunities are included in the Fees, funding and scholarship search.
Annual fees for entry in 2019-20
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. You may have seen separate figures in the past for tuition fees and college fees. We have now combined these into a single figure.
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.
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.
The following colleges accept students on the MSc in Mathematical Sciences:
- Balliol College
- Brasenose College
- Campion Hall
- Christ Church
- Exeter College
- Hertford College
- Jesus College
- Keble College
- Kellogg College
- Lady Margaret Hall
- Linacre College
- Lincoln College
- New College
- Oriel College
- Pembroke College
- The Queen's College
- St Anne's College
- St Catherine's College
- St Cross College
- St Edmund Hall
- St Hilda's College
- St Hugh's College
- St John's College
- St Peter's College
- Somerville College
- Trinity College
- Wadham College
- Worcester College
How to apply
You are welcome to contact the Course Director, however this is not a necessary prerequisite to the application process. If you are unsure of who to contact you should send an e-mail to the Academic Assistant.
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:
Up to one page
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 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, all 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. Academic references are required.
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: Carefully read the entry requirements on this course page to make sure you meet all the criteria.
Step 2: Check above what documents are required and prepare to apply by reading our Application Guide.
Step 3: Apply as soon as possible. Consult the Application Guide for more information about deadlines.