MSc Intelligent Systems

Institution De Montfort University
Method At the institution
Location Leicester
Type Masters
Course fee By request

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MSc Intelligent Systems

Objectives There are wide applications of CI, from household appliances and medical services to robotics and data mining. As a result, a range of career options are opened up by this MSc programme, for example: -Robotics programming -Games engineering -Control systems -Mobile communications -Software engineering -Research There is evidence to suggest that many employers prefer CI graduates even for non-CI focused jobs because the nature of the subject means that such graduates are able to select from a wider set of approaches to problem solving as well as being able to program computers and communicate effectively. IBM, HP, Microsoft, Bell Labs and Xerox are all examples of companies that have their own CI research labs, indicating that this subject is currently very important and that graduates of degrees in this area are very employable.
Entry requirements Applicants must hold a second class (2:2) honours degree in Computer Science or related scientific/engineering discipline such as Physics, Engineering, Mathematics, Cognitive Science, or Psychology, either from a British university or a recognized equivalent. Additionally, all applicants must have basic mathematics ability and computer programming skills.
Academic title MSc Intelligent Systems
Course description Programme

The Faculty of Computing Sciences and Engineering has a renowned reputation in computer science research. During the last Research Assessment Exercise (RAE) the School of Computing achieved a rating of 4. This means that this MSc is delivered within a Faculty that conducts research of national and international significance.

The programme is modular, leading to a number of qualifications depending on the number of modules taken and passed. This means that you could obtain the following qualifications depending upon your needs and the level of commitment you can make:
The programme is taught over two semesters with the third semester devoted to the project.
The current modules are:

-An induction unit for all students
-Computational Intelligence Research Methods
-Artificial Intelligence Programming
-Mobile Robots
-Fuzzy Logic
-Data Mining
-Artificial Neural Networks
-Evolutionary Computing
-Applied Computational Intelligence
-Project.

Teaching/assessment

The programme is part-time by distance learning. Typically it would be completed over 3 years but it is possible to vary the length of time to complete.