First- or upper second-class degree or an equivalent standard in other qualifications approved by the University in an appropriate discipline.
Months of entry
This research-led MSc incorporates traditional and state-of-the-art aspects of AI and machine learning through a contemporary approach which covers the fundamental aspects of traditional symbolic and sub-symbolic aspects.
Semester one: Intelligent Agents; Machine Learning; Foundations of Artificial Intelligence; Computer Vision; Robotic Systems; Evolution of Complexity
Semester two: Advanced Computer Vision; Biological Inspired Robotics; Advanced Machine Learning; Advanced Intelligent Agents; Computational Biology; Computational Finance; Image Processing; Semantic Web Technologies; Simulation Modelling for Computer Science; Biometrics
Plus three-month independent research project culminating in a dissertation
Information for international students
Fees and funding
Qualification and course duration
Course contact details
- Physical Sciences and Engineering
- +44 (0)23 8059 2630