Taught course

Artificial Intelligence

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

Entry requirements

A 2:2 degree, or equivalent, in computer science, electronic engineering or a related discipline.

Months of entry


Course content

Computational intelligence deals with the theory, design, application, and development of biologically, socially and linguistically motivated computational paradigms. There is emphasis on genetic algorithms, evolutionary programming, fuzzy systems, neural networks, connectionist systems, and hybrid intelligent systems in which these paradigms are contained. Our unique MSc Computational Intelligence covers the theoretical, applied and practical aspects of this.

You will focus on linking computational intelligence techniques to real-world applications and projects, including computational intelligence in business and financial applications, computational intelligence in games, computational intelligence in biological sciences and medicine and computational intelligence in industrial control. We recently launched the Computational Intelligence Centre to further our existing reputation as a world class centre of excellence in this subject. Upon graduation, you will be trained in computational intelligence and its applications, which will open employment in: software companies designing intelligent software; banks and businesses designing intelligent prediction and modelling systems for various processes in their institutions; computer games companies designing intelligent adaptive games; pharmaceutical companies designing intelligent systems that model the given drug and its various interactions; and heavy industries (like oil, steel, chemical and car) designing intelligent modelling and control systems.

Information for international students

If English is not your first language, then we require IELTS 6.0, or equivalent.

Qualification and course duration


full time
12 months
part time
24 months

Course contact details

Graduate Administrator
+44 (0)1206 872719