Robots are widely used in industry, for example in factory automation, and there
is great demand for robotic applications in everyday life and in the home,
ranging from self-driving cars to house cleaning robots. Intelligent system and
machine learning algorithms are at the core of data mining technology, computer
games, advance user interfaces, surveillance systems, automated trading systems,
biotechnology, bioinformatics and many others.
This MSc will give you skills that are in high demand from both the academic
research community and a wide range of industrial companies working in these
areas. The MSc provides you with a comprehensive coverage of contemporary
intelligent systems, with robots serving as a major example of the technology.
Thanks to the leading research being undertaken at Essex, the course will give
you not only a solid understanding of the foundations of this technology,
ranging from the principles by which sensed data are converted into useful
information to the practical aspects of developing intelligent and robotic
systems, but it will also offer you a wide range of options which cover
state-of-the-art modern techniques. These directly reflect research directions
in the School, including biologically-inspired robots, biometrics, or
The degree is delivered by a team of internationally-recognised researchers,
with expertise spanning the entire range of intelligent systems and with
experience of developing robots intended for land, under water and in the air.
Research carried out by the team has resulted in appearance in the Robot Soccer
World Cup final, an autonomous robot fish in the London Aquarium, a
self-programming computer vision system, and many others.
The course consists of eight taught modules plus an individual project and
associated dissertation. It is taught over 12 months (full-time) or 24 months
Further Course Details
including offer levels, module structure, syllabus content details
With the School's approval, a student may take the MSc Industry-based Project
and Dissertation (CE911-7-SU)
as an alternative to
CE901-7-SU. This is designed to cater for students who are either taking the
MSc whilst in employment, or who have secured industrial sponsorship in
connection with their studies.
The video shows a dynamic a 3D simulation of a model helicopter flying through a
predefined random sequence of waypoint. The helicopter is controlled by an
artificial neural network evolved with a Genetic Algorithm. For more details
surf the website of the UltraSwarm project
Watch some footage shot from an on-board camera while under human remote
control. This gives an idea of the challenge for computer vision. Watch out for
a surprise at the end that nearly trashed the on-board camera!
This video shows an experimental system where a 2-D pointer is directly
controlled by brain activity recorded from the scalp. The video also shows a
prototype speller based on our hands-free mouse. The system has been developed
Brain Computer Interfaces Group