More information can be found on theStatML website. These courses may have been suggested due to their similarity with this course, or because they are offered by the same department or faculty. The Fees and Fundingsection of this website provides further information about course fees, including information about fee status and eligibilityand your length of fee liability. Application Guide Apply - FTApply - PT Declaration Form, Open - applications are still being accepted, Up to a week's notice of closure will be provided on this page - no other notification will be given, Friday 6 January 2023Latest deadline for most Oxford scholarships, Wednesday 1 March 2023Applications may remain open after this deadline if places are still available - see below. Unless specified in the additional information section below, course fees do not cover your accommodation, residential costs or other living costs. Both milestones normally involve an interview with two assessors (other than your supervisor) and therefore provide important experience for the final oral examination. Referencesandsupporting documentssubmitted as part of your application, and your performance at interview (if interviews are held) will be considered as part of the assessment process. Where possible your academic supervisor will not change for the duration of your course. Mathematical, Physical and Life Sciences Division, Scholarships and funding for under-represented groups, Modern Statistics and Statistical Machine Learning, ProspectiveContinuing Educationstudents, Prospective online/distance learning students. Supervisor: Professor Christl Donnelly Supervisor: Professor Mihai Cucuringu Research area: random discrete structures (eg trees and graphs) and their scaling limits. Your test must have been taken no more than two years before the start date of your course. minimum and maximum limits to the numbers of students who may be admitted to the University's taught and research programmes. 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. Supervisor:Professor RobinEvans 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. Optional modules last two weeks and are delivered in a similar format to the core modules. A successful transfer of status from PRS to DPhil status will require the submission of a thesis outline. Within a maximum of six terms as a full-time PRS student or twelve terms as a part-time PRS student, you will be expected to apply for transfer of status from Probationer Research Student to DPhil status. In 2016 the department moved to a newly-renovated building in St Giles, providing excellent teaching facilities and creating a highly visible centre for statistics in Oxford. The emphasis is on the theoretical foundations, mathematical models, and computational issues in practical problem solving. The Modern Statistics and Statistical Machine Learning CDT is a four-year PhD/DPhil research programme (or longer if studying part-time). The aim of the program is to provide a strong disciplinary background in one of the core areas of research in the department. You will be able to upload your research supporting materials separately if they are required (as described below). Much of the departments research is either explicitly interdisciplinary or draws its motivation from application areas, ranging from biology and physics to the social sciences. Oxford usually has around 3,300 undergraduate places and about 5,500 graduate places each year. Our Application Guide provides further information about the English language test requirement. DPhil in Statistics | statistics - University of Oxford You will give a research presentation or prepare a research poster each year in the department. The Department of Statistics admits doctoral students each year to a programme of instruction and research leading to the Doctor of Philosophy (DPhil) in Statistics degree. Supervisor: Professor Garrett Morris 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. The University of Oxford is one of nine leading research universities around the world selected to deliver a new global postdoctoral fellowship programme to drive the innovative use of AI across science, technology, engineering and mathematics (STEM) research. The department also offers career development events. Developing novel methodologies to understand and predict protein evolution, interaction, structure and function. Unless specified in the additional information section below, course fees do not cover your accommodation, residential costs or other living costs. . Given the breadth and depth of the research teams at Imperial College and at the University of Oxford, the proposed projects will range from theoretical to computational and applied aspects of statistics and machine learning, with a large number of projects involving strong methodological/theoretical developments together with a challenging real problem. A CV/rsum is compulsory for all applications. If you're thinking about applying for this course, you may also wish to consider the courses listed below. The students will pursue two mini-projects during their first year (specific timings may vary for part-time students), with the expectation that one of them will lead to their main research project. Supervisor: Professor Alison Etheridge Your transcripts should give detailed information of the individual grades received in your university-level qualifications to date. You will give a research presentation or prepare a research poster each year in the department. In particular, a broad structured programme of training in modern statistical methodology is available via courses in the Academy for Postgraduate Training in Statistics (APTS), of which the Department is a founding member. Departmental seminars and colloquia bring research students, together with academic and other research staff, to hear about on-going research, and provide an opportunity for networking and socialising. Statistical analysis of financial data, statistical arbitrage, limit order books, risk models. Your references will support intellectual ability, academic achievement, motivation and your ability to work in a group. The Department of Statistics is based in St Giles, near the centre of Oxford.