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
Please check our website in January 2024 for the modules running in the academic year 2024/25.
Entry requirements
Degree requirements You should normally have an upper second-class (2.1) undergraduate honours degree or above. Subject-specific requirements 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.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
Our goal is to ensure that every student who wants to study with us is able to regardless of financial barriers, so that we continue to attract talented and unique people. Details of our scholarships are not yet set for entry in the academic year 2024/25.
Provider information
University of Sussex
Sussex House
Brighton
BN1 9RH