MSc in Mathematical Sciences
The MSc in Mathematical Sciences, known as the Oxford Master's in Mathematical Sciences (OMMS), provides a broad and flexible training in mathematical sciences, essential for research and innovation in the 21st century.
The MSc in Mathematical Sciences spans interdisciplinary applications of mathematics as well as recognising fundamental questions and themes. Oxford has a world-class reputation in the mathematical sciences, and this master's offers students the opportunity 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 different pathways, tailoring the programme to your individual interests and requirements. Examples of pathways include:
- research in fundamental mathematics
- data science
- interdisciplinary research in fluid and solid mechanics
- mathematical biology
- industrially focused mathematical modelling
- (stochastic) partial differential equations.
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. Performance on the master's is assessed by invigilated written examinations and mini projects, and by the dissertation.
Please note that this course is not suitable for students whose primary focus is on 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.
Entry requirements for entry in 2018-19
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 the 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 the Mathematical Institute and 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 the Mathematical Institute and 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 the Mathematical Institute and 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.
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.
For more information please click "Further Official Information" below.
This opportunity has expired. It was originally published here: