Intelligent Systems and Robotics
Entry requirements
A 2.2 in Computer Science, Computer Games, Electronic and Electrical Engineering or Mathematics.
At least 50% of Undergraduate Academic Modules must include computer science, electronic engineering, mathematics, engineering. In additional at least one of these modules should be a programming module.
Months of entry
October
Course content
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).
Qualification, course duration and attendance options
- MSc
- part time24 months
- Campus-based learningis available for this qualification
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Course Enquiries
- pgadmit@essex.ac.uk