Taught course

Artificial Intelligence

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

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Entry requirements

A 2.2 in Computer Science; Computer Engineering; Computer Networks; Computer Games; Computing; Software Engineering, Electronic Engineering; Electrical Engineering; Telecommunication Engineering; Automation; Mechatronic Engineering; Mathematics or Physics.

Graduates of Computer Science; Computer Engineering; Computer Networks; Computer Games; Computing; Software Engineering must have studied :

ONE programming module (e.g. C, C#, C++, Java, Python, Object Oriented programming, Advanced Programming).

ONE maths module (e.g.Mathematics; Calculus; Algebra; Differential Equations).

and ONE other computing related module (e.g. Database, Web development, Software engineering, Operating system, Computer architecture; Computer systems etc.).

Graduates of Electronic Engineering; Electrical Engineering; Telecommunication Engineering; Automation; Mechatronic Engineering; Mathematics; Physics must have studied:

ONE programming module (e.g. C, C#, C++, Java, Python, Object Oriented programming, Advanced Programming).

ONE maths module (e.g.Mathematics; Calculus; Algebra; Differential Equations).

and ONE other math module (e.g. Mathematics, Calculus, Algebra, Differential Equations, Probability and statistics, Signals and systems, Control theory, Control systems, Computer systems, Embedded systems, Microprocessors).

Months of entry

January, 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.

More than two-thirds of our research is rated ‘world-leading’ or ‘internationally excellent (REF 2014).

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Postgraduate Admissions
Email
pgadmit@essex.ac.uk