The MSc in Autonomous Systems is dedicated to the study of computer
systems that evolve intelligence through interaction with their
environment and demonstrate independence in their activities.
Autonomous systems can be implemented in software or hardware
designed to work independently of manual supervision, and are
able to learn about their environment autonomously and evolve
with time. Interest in this area is strongly driven by the needs
of the computer industry and applications that would benefit enormously
from autonomous learning in computers, including such varied areas
as information technology, engineering, healthcare and finance.
Some examples include autonomous robotics, software agents for
electronic commerce and network management, computer based medical
diagnostics, security and smart systems, intelligent forecasting,
interactive computing, data mining, and safety critical systems.
1) Six taught modules: Intelligent Image Understanding; Pattern
Recognition; Computational Signal Processing; Agent Technology;
Neural Networks; Natural Language Engineering.
2) Research Methodology module.
3) MSc Research Project. MSc students must take all eight modules.
Diploma students take six taught modules and the research methodology
module. Certificate students take any four taught modules.