|Study location||United Kingdom, Colchester Campus|
|Type||Master courses, full-time|
|Nominal duration||1 year|
|Tuition fee||£14,500.00 per year|
Undergraduate diploma (or higher)
A degree with an overall grade of 2.2.
The entry qualification documents are accepted in any language
IELTS: 6.0 overall (with a minimum component score of 5.5)
At least 1 reference(s) must be provided.
Reference should be written on official letterhead, signed and dated. Please upload it in the Documents section.
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
- 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).
MSc Project and Dissertation
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 (optional)
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
Bank of Mexico
Hellenic Air Force
United Microelectronic Corporation (Taiwan)