Robotics requires a well-developed knowledge of areas ranging from computer science and artificial intelligence, to engineering and neuroscience, in order to produce hardware which can sense and manipulate the real world. This field has allowed us to develop everything from satellites and submarines, to racecars and robots.
Research carried out by our team has resulted in appearance in the Robot Soccer World Cup final, an autonomous robot fish in the London Aquarium, and a self-programming computer vision system.
Our course provides a comprehensive coverage of contemporary intelligent systems, with robots serving as a major example of the technology. Thanks to the leading research being undertaken in our School, you will gain a solid understanding of the foundations of this technology, exploring areas including: -The principles by which sensed data are converted into useful information -The practical aspects of developing intelligent and robotic systems -Biologically-inspired robots -Biometrics -Computational intelligence
Our MSc Intelligent Systems and Robotics is delivered by our team of internationally recognised researchers, with expertise spanning the entire range of intelligent systems and experience of developing robots intended for land, under water and in the air.
We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).
This course is also available on a part-time basis.
This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).
Our expert staff
Our research covers a range of topics, from materials science and semiconductor device physics, to the theory of computation and the philosophy of computer science, with most of our research groups based around laboratories offering world-class facilities.
Our impressive external research funding stands at over £4 million and we participate in a number of EU initiatives and undertake projects under contract to many outside bodies, including government and industrial organisations.
In recent years we have attracted many highly active research staff and we are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.
We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment. -We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress -All computers run either Windows 7 or are dual boot with Linux -Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project -Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET) -We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors
Our recent graduates have progressed to a variety of senior positions in industry and academia. Some of the companies and organisations where our former graduates are now employed include: -Electronic Data Systems -Pfizer Pharmaceuticals -Bank of Mexico -Visa International -Hyperknowledge (Cambridge) -Hellenic Air Force -ICSS (Beijing) -United Microelectronic Corporation (Taiwan)
We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.
-MSc Project and Dissertation -Computer Vision -Group Project -Intelligent Systems and Robotics -Machine Learning and Data Mining -Professional Practice and Research Methodology -Programming Embedded Systems -Artificial Neural Networks (optional) -Constraint Satisfaction for Decision Making (optional) -Creating and Growing a New Business Venture (optional) -Digital Signal Processing (optional) -Electronic System Design & Integration (optional) -Evolutionary Computation and Genetic Programming (optional) -High Level Logic Design (optional) -Game Artificial Intelligence (optional) -Virtual Worlds (optional) -Natural Language Engineering