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University of Oxford Oxford University provides world-class research and education to benefit society on a local, regional, national and global scale
About the University of Oxford Oxford is a world-leading centre of learning, teaching and research and the oldest university in the English-speaking world
Admissions - University of Oxford We offer a unique experience to graduate students Find out about our postgraduate courses and how to apply Find out about each department and the courses they offer Learn about postgraduate college life Over 1,100 graduate scholarships are available Why study at Oxford? Information for international applicants Read our step-by-step
History - University of Oxford Oxford University has been at the centre of the COVID-19 response from the very onset of the crisis, remaining at the forefront of global efforts to combat the disease and to mitigate its many effects, such as developing a vaccine and identifying treatments
Courses - University of Oxford Your academic year How long are the terms? When will you have exams? Find out about the structure of an Oxford student's year
Undergraduate admissions and outreach - University of Oxford You can sign-up now for our Choosing Oxford newsletter for step-by-step support with your application as well as some fun insights into student life here You might also like to watch our Official Video Guides
Facts and figures - University of Oxford There are more than 26,000 students at Oxford, including 12,470 undergraduates and 13,920 postgraduates Entry to undergraduate courses at Oxford continues to be very competitive: there are usually only around 3,300 places, and over 23,000 people applied to start in 2024
Graduate admissions - University of Oxford The Graduate Admissions pages of the University of Oxford website are designed for those applying for postgraduate study at the University of Oxford during the 2025-26 academic year
Visual Geometry Group - University of Oxford Computer Vision group from the University of Oxford Karen Simonyan and Andrew Zisserman Overview Convolutional networks (ConvNets) currently set the state of the art in visual recognition The aim of this project is to investigate how the ConvNet depth affects their accuracy in the large-scale image recognition setting Our main contribution is a rigorous evaluation of networks of increasing