The Department of Engineering Science at Oxford has a top-level quality assessment rating for teaching, and a world-class reputation for research. Teaching is based on a unified course in Engineering Science, which integrates study of the subject across the traditional boundaries of engineering disciplines.
The Engineering Science programme is a four-year course, leading to the degree of Master of Engineering. The first two years are devoted to topics which we believe all Engineering undergraduates should study. In the third and fourth years there is scope for specialisation into one of six branches of engineering: Biomedical, Chemical, Civil, Electrical, Information and Mechanical.
New College is one of the largest engineering colleges, with three tutorial fellows who between them cover most of the core topics: René Bañares-Alcántara teaches thermodynamics and fluid mechanics, Andrea Vedaldi electrical and information engineering, and a soon-to-be-appointed tutor will teach structural engineering and solid mechanics. There are also two professorial fellows in engineering, David Limebeer and Martin Williams, who is also pro-vice-chancellor for education. New College can therefore deliver a remarkable amount of support to its engineering students.
Our students come from all sorts of backgrounds: from both state and independent school sectors in the UK, from Europe, and beyond. Many have followed the British A-level system but about a third have other qualifications. The things they have in common are excellent mathematical ability, and genuine enthusiasm for engineering and the contribution it can make to our world. Their Finals results are consistently among the best in the University - a performance level that is achieved in an environment of friendly cooperation rather than fierce competition.
Dr René Bañares-Alcántara researches the application of computer science techniques to engineering, focusing on the use of artificial intelligence techniques in chemical engineering design, synthesis and diagnosis.
Dr Andrea Vedaldi's research focuses on machine learning, with the goal of understanding the content of images and videos to support applications such as large-scale image search, data analytics, autonomous driving and robotics.
Professor Martin Williams researches the dynamics of structures, with the aim to understand the causes of problematic or damaging vibrations, and to design, test and validate methods of reducing them.
Professor David Limebeer works on a range of applied and theoretical problems in engineering dynamics including robust theory, vehicle dynamics, process control, tokamak fusion reactors and aeroelasticity.
We may accept deferred entry applications, although this is infrequent.