Course summary
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.
Modules
We’re planning to run these modules in the academic year 2023/24. 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
- MSc Individual Project
Entry requirements
You should normally have an upper second-class (2.1) undergraduate honours degree or above.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
Please click on the course URL to see up-to-date fee information.
Provider information
University of Sussex
Sussex House
Brighton
BN1 9RH