Compared to Engineering at other Universities, the Cambridge course is a fairly theoretical one, and is highly regarded among both industry and other academic institutions worldwide. The department also provides support to students to find work placements during the summer vacations.
Overview
A*A*A at A-level, or 7 7 6 (42+ overall) in the IB. For other qualifications, please see the University entrance requirements page.
A-level/IB Higher Level or equivalent in Mathematics and Physics.
(Please note that IB applicants starting the new IB Mathematics syllabus are expected to take IB Higher Level 'Analysis and Approaches' if it's available at your school. If this isn't an option for you, please drop us an email at admissions@clare.cam.ac.uk and we'll be very happy to advise you.)
The department strongly encourages applicants to take Further Mathematics - if this isn't possible, they suggest studying as much additional pure maths and mechanics as possible. If you have any questions, please drop us an email at admissions@clare.cam.ac.uk and we'll be happy to advise you.
Engineering at Clare
The first two years (Part 1A and Part 1B) cover all the main branches of Engineering, with specialisation taking place in years 3 and 4.
The breadth of engineering representation within the Clare Fellowship, as well as additional senior research associates, ensures that support can be provided across the unique Cambridge Engineering course. The first two years provide a broad education in modern engineering fundamentals, including analytical, design and computing. Our Fellows specialise in information engineering, structural dynamics with our Director of Studies a specialist in electrical power systems. They allow us to support a competitive cohort of between 10 and 12 students each year, who undertake an intense programme of lectures, practicals and supervisions each week.
After one year, students can change to read Chemical Engineering, or specialise after two years to study Electrical and Information Sciences, Manufacturing Engineering, or Management Sciences.
In addition the Department issues 'examples papers' for all of its lecture courses, which you work through in your own time - this might occupy about two hours each evening. Finally, the College arranges three or four one-hour 'supervisions' per fortnight, where problems with the lecture courses and examples papers can be discussed.
Visit the University's subject page for more information.
Dr Ioannis Lestas' advice for prospective applicants: The department of engineering has a dedicated outreach website with various interesting resources for events and other potentially interesting material - http://www.eng.cam.ac.uk/events-and-outreach/schools-and-community-outreach - Overall preparing for their Maths and Physics A-levels would give the students the best technical foundation for the course, but there are of course several interesting events and resources they could engage with, with some examples included in the website.
Dr Cabrera Serrenho is exploring new ways of reducing greenhouse gas emissions at a faster pace to meet international climate pledges. This involves identifying new configurations of energy and material systems to supply our future needs with less demand and emissions. He developed dynamic material flow analyses to assess the stocks of cars and buildings in the UK, testing the impact of alternative interventions to reduce global greenhouse gas emissions.
Dr Lestas' research concerns the analysis, modelling and control of large-scale systems, using advanced methodologies in systems theory and optimization, while establishing connections with related domains such as distributed resource allocation and information theory. His research interests also expand in other areas where related analysis tools are important, such as power control in wireless networks, group coordination problems and the analysis of signalling and feedback mechanisms in gene regulatory networks.
Professor Byrne’s main research interests are in the statistical modelling of speech and language. The objective of this work is to develop models and algorithms that make it possible for computers to extract information from the large amounts of speech and text that are now available in digital form.
These modelling procedures make it possible to transcribe speech, to synthesize speech from text, and to translate from one language into another.
