Taught course

Artificial Intelligence

Institution
University of Essex · Centre for Computational Finance and Economic Agents - CCFEA
Qualifications
MSc

Entry requirements

A 2.2 in Computer Science, Computer Games, Electronic and Electrical Engineering or Mathematics.

At least 50% of Undergraduate Academic Modules must include computer science, electronic engineering, mathematics, engineering. In additional at least one of these modules should be a programming module.

Months of entry

October

Course content

Artificial intelligence deals with the theory, design, application, and development of biologically, socially and linguistically motivated computational paradigms.

You focus on linking artificial intelligence techniques to real-world applications and projects, including artificial intelligence in business and financial applications, artificial intelligence in games, artificial intelligence in biological sciences and medicine, and artificial intelligence in industrial control.

Our unique course covers the theoretical, applied and practical aspects of artificial intelligence, with an emphasis on:

  • Genetic algorithms
  • Evolutionary programming
  • Fuzzy systems
  • Neural networks
  • Connectionist systems
  • Hybrid intelligent systems.


Our School is a community of scholars leading the way in technological research and development. Today’s computer scientists are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top scientists, and our work is driven by creativity and imagination as well as technical excellence.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

This course is also available on a part-time basis.

Qualification and course duration

MSc

full time
12 months
part time
24 months

Course contact details

Name
Postgraduate Enquiries
Email
pgadmit@essex.ac.uk