The course lasts for 12 months over three semesters; in the first two there are four or more taught modules, to make a total of 120 credits, and there is a 60 credit project in the third.
There are two core modules fixed for this course. You will also take two or more optional modules, making up 60 credits, which you can choose from the full list of advanced, specialist modules in Computer Science. Alternatively you can elect to replace up to 30 credits worth with masters modules taught by the University’s Business School. Visit our Module Descriptions page for further details.
Artificial Life: Biology and Computation (30 credits)
Neural Networks, Evolutionary Computation and Robotics (30 credits)
In the third semester, you complete a project in your chosen specialism under the guidance of an experienced individual supervisor. Supporting tuition for the project includes the general principles of research methods.
Through the project you will demonstrate your understanding of the principles and concepts you have learned in the taught modules and your ability to apply them to a substantial piece of development or investigative work.
Our masters programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research.
This particular course will prepare you to take up a challenging job or to pursue further research in specific AI fields. Typical career opportunities include researcher or designer for intelligent systems.
Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students.
In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.
Year 1 - full details
-Distributed Systems Security
-Mobile, Multicast and Multimedia Networking
-Artificial Life: Biology & Computation
-Computer Simulation for Business
-Data Mining and E-Marketing
-E-Business Processes and Strategies
-Human Computer Interaction: Principles and Practice
-Measures & Models for Software Engineering
-Mobile Standards, Interfaces & Applications
-Multimedia Specification, Design & Production
-Network System Administration
-Neural Networks, Evolutionary Computation And Robotics
-STRATEGIC ADVANTAGE AND INFORMATION TECHNOLOGY
-Secure Systems Programming
-Software Engineering Practice & Experience
-Theory & Practice of Symbolic Artificial Intelligence