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Artificial Intelligence and Adaptive Systems MSc

Artificial Intelligence and Adaptive Systems MSc

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai)

Course type

Taught

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.

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.

CAREERS

Our graduates have gone on to careers in software development, systems analysis and technical communication. A high proportion of our graduates go on to undertake research degrees at Sussex and other prestigious universities.

Different course options

Full time | University of Sussex | 1 year | 28-SEP-20

Study mode

Full time

Duration

1 year

Start date

28-SEP-20

Modules

In this module, you explore advanced techniques in machine learning. You use a systematic treatment, based on the following three key ingredients: tasks, models, features. As part of the module, you are introduced to both regression and classification, and your studies emphasise concepts such as model performance, learnability and computational complexity.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£11,000

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£22,500

Average for all Postgrad courses (per year)

£12,227

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.