Taught course
Artificial Intelligence and Adaptive Systems
Entry requirements
You should normally have an upper second-class (2.1) undergraduate honours degree or above.
You are suited to this course if you have a background 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.
Months of entry
September
Course content
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.
You’ll learn from experts at the forefront of their fields. We host the Evolutionary and Adaptive Systems Research Group, the Data Science Research Group and the Sackler Centre for Consciousness Science. We also have many successful business collaborations.
Qualification, course duration and attendance options
- MSc
- part time24 months
- Campus-based learningis available for this qualification
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Course Enquiries
- enquiries@enginf.sussex.ac.uk