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Texto: Department of Statistics, University of Oxford MENU Home Study Here Undergraduate Course Details Entry Requirements How to Apply Meet our Students Open Days FAQs Taught Postgraduate Degrees MSc in Statistical Science Meet Our Students MSc FAQs Research Degrees and Studentships StatML Centre for Doctoral Training (CDT) Doctor of Philosophy (DPhil) in Statistics Research Areas Funding and Scholarships Research FAQs Research Research Impact Research Groups Computational Statistics & Machine Learning (OxCSML) Probability Statistical Genetics and Epidemiology Oxford Protein Informatics Group (OPIG) Research Facilitation News & Events Events Distinguished Speaker Seminar Series Graduate Lecture Series Florence Nightingale Lecture Other Events Student Resources BA/MMath Maths & Statistics Course Synopses and Handbooks Part A Synopses 2019-2020 Part B Synopses 2019-2020 Part C Synopses 2019-2020 Previous Years’ Synopses and Handbooks Course Materials Examinations Undergraduate Prizes Part C Projects Consultations and revision classes MSc in Statistical Science Gutierrez Toscano Prize Research Degrees Graduate Liaison Group Skills Training Complaints and Appeals Transfer of Status Confirmation of Status UNIQ+ Summer School Disability and Access People Academic Staff Research Staff Research Students Administrative & IT staff Outreach Schools Liaison Statistics Taster Day University Open Days About Us Equality and Diversity Vacancies Consulting Consultancy Services Our People Clients & Case Studies Contact Us Conference Facilities Rooms Catering Booking Support Us Placements Scholarships Staff Resources IT Support Remote Access University of Oxford Home Back to top Welcome to the Department of Statistics Play Video Study Here We welcome applications from students wishing to undertake Undergraduate  and Postgraduate studies. Our postgraduate courses comprise the taught MSc in Statistical Science, MSc in Mathematical Sciences (joint with the Mathematical Institute), the MSc by Research in Statistics, and the DPhil in Statistics. Read More About Us The Department of Statistics at Oxford is a world leader in research including computational statistics and statistical methodology, probability, bioinformatics and mathematical genetics. Read More Consultancy The Oxford University Statistical Consultancy Unit   provides comprehensive statistical consultancy services to both internal departments and external businesses. Operating across a wide range of sectors, it can offer experience in all aspects of data-based research, allowing businesses and academics to access our world leading statistical research. Read More Corcoran Memorial Lecture The Corcoran Memorial Lecture and Memorial Prize is a biennial event.  The prize is awarded to students of the Department of Statistics for outstanding graduate work. We are delighted to announce that the winner of the 2018 Corcoran Memorial Prize is Dr Sarah Penington. The prize will be awarded at the Corcoran Memorial Prize Award and Lecture on Friday 31st January 2020. Speaker: Professor Frank den Hollander, Leiden University Venue:    Large Lecture Theatre, Department of Statistics Title:       Synchronisation with noise 3.00 pm: Welcome and Introduction 3.10 pm: Corcoran Memorial Lecture given by Professor Frank den hollander 4.10 pm: Award of Corcoran Memorial Prize 2018 4.20 pm: Short talk by 2018 prize winner, Dr Sarah Penington 4.45 pm: Drinks Reception Real-time Analysis to Understand the Novel Coronavirus Date:            Friday 31st January 2020, 1.00 pm – 2.00 pm Venue:         Large Lecture Theatre, Department of Statistics Speakers:  Professor Christl Donnelly and Dr Robin Thompson Title:             Maths and Stats in Action – Real-time Analysis to Understand the Novel Coronavirus Abstract:     We will provide a whirlwind tour of the quantitative analyses currently underway to understand the transmission and control of the novel coronavirus (2019-nCOV). News & Events Department News Emeritus Professor Bernard Silverman appointed to ESRC Council To read more about this please visit this page… UNIQ+ open for 2020 applications New Oxford unit created as part of ELLIS effort will assemble AI experts from across Europe All News Upcoming Events Distinguished Speaker Seminar with Max Welling, Friday 6th March 2020 Florence Nightingale Lecture - Wednesday 18th March 2020 Small Organic Molecules: Chemical Space, Reactions, Catalysis and Autocatalysis Workshop All Events Florence Nightingale Lecture 2020 The Florence Nightingale Lecture 2020 will be given by Professor Deborah Ashby, President of the Royal Statistical Society on Wednesday 18th March.   This event will be held at the Mathematical Institute to allow for a wider audience as 2020 marks the bicentenary of Florence Nightingale’s birth.  The Lecture is part of a wide range of special events taking place throughout the year to celebrate the bicentenary. Coffee and cakes will be served afterwards at the Department of Statistics followed by a special Panel Discussion about the role of statistics in society with Professor Deborah Ashby, Professor Sir David Spiegelhalter and Sir David Cox. Further details will follow shortly. This event is kindly being sponsored by XTX Markets Ltd. DEPARTMENTAL RESEARCH The Department of Statistics is one of the world’s leading centres for research in Statistical Science.  Research activity spans a wide range of modern and exciting developments in the subject. Computational Statistics & Machine Learning Read More Probability Read More Statistical Genetics Read More Oxford Protein Informatics Group Read More Back to top Back to top Department of Statistics University of Oxford 24-29 St Giles' Oxford OX1 3LB United Kingdom +44 (0)1865 272860 info@stats.ox.ac.uk Statutes DPA Feedback Sitemap Credits Cookies © Department of Statistics 2017-2020 Department of Statistics University of Oxford 24-29 St Giles' Oxford OX1 3LB United Kingdom Back to top Statutes DPA Feedback Sitemap Credits Cookies +44 (0)1865 272860 info@stats.ox.ac.uk © Department of Statistics 2017-2020


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6 www.stats.ox.ac.uk/study-here/undergraduate/how-to-apply/
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