The study of natural and artificial intelligent and adaptive systems is at the heart of rapidly developing areas. These range from artificial intelligence and autonomous robotics to neuroscience, consciousness and cognitive science. This MSc prepares you for research and development in intelligent and adaptive systems. You'll cover theoretical issues and practical techniques for their design and implementation. You can choose to organise your studies around one of these areas:
- artificial intelligence and cognitive modelling
- robotics and autonomous systems
- data science, machine learning and natural language processing
- computational biology and consciousness science.
We’re planning to run these modules in the academic year 2022/23. However, there may be changes to these modules in response to COVID-19, staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity. Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.
- Mathematics and Computational Methods for Complex Systems
- Adaptive Systems
- Machine Learning
- Artificial Intelligence and Adaptive Systems Project
You should normally have an upper second-class (2.1) undergraduate honours degree or above. Your qualification should be in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing. For more information about our entry requirements and English language requirements, please visit our website.
Fees and funding
No fee information has been provided for this course