Course description
The MSc in Intelligent Computer Systems seeks to produce postgraduates who have a good understanding of how to develop software that utilises artificial intelligence (AI), particularly computer games.
This course has a strong emphasis on software engineering and AI, and is designed to produce high quality computer personnel who are
well-equipped for employment in a diverse range of computer system development roles. In addition to the application of AI in computer games, students will learn about modern AI theory and its general application across industry as a whole. Students will have opportunity to study for part of their award in a partner European university.
Brief Overview:
Intelligent Computer Systems are an integral part of many application areas, including well-documented fields such as Knowledge-Based Systems, Data-Mining, Logistic Planning, Intelligent Agents, Prediction and increasingly importantly as part of the Leisure Software industry. The continued increase in the diversity of Intelligent Computer System application areas and their effectiveness depends largely on the ability of academia to provide appropriate training that produces individuals skilled in the elicitation, analysis and modelling of knowledge to solve real-world system-dynamic problems.
Course Content
The MSc in Intelligent Computer Systems will be awarded by the University of Glamorgan. The course consists of six taught modules (each carrying a weighting of 10 ECTS credits) and an individual project (worth 30 ECTS credits) totalling 90 ECTS credits.
Entrants will enrol as students of the University of Glamorgan. The first part of the course will be studied at Glamorgan. Students will then have the opportunity to study part of the course at one of the partner institutions. Part of the taught provision may be undertaken by members of the partner universities.
You will study six modules taken from:
* Data Structures and Algorithms
* Project Management and Research Methodology
* Advanced Search Paradigms
* Neural Networks and Expert Systems
* AI Game Programming
* Cognitive Science
* Database Technologies
* Scientific Visualisation
* Data Coding and Compression
* Security and Intelligent Systems
* Independent Study
Project Management and Research Methodologies along with Data structures and Algorithms are offered in the first term and are presented to all students. The students’ specialism is enhanced by undertaking four of the remaining modules. The master thesis should demonstrate the capability to solve a problem related to Intelligent Computer Systems or its application using scientific methods.
The MSc can be studied either full-time for one year or part-time over three years.
How To Study
Full-time
During term-time, students usually spend 12 hours per week in lectures, tutorials and supervised computer practicals. You will also need to spend
time on background reading, research and assignments. During practical sessions, you will have access to up-to-date resources. You will undertake the individual project dissertation during the summer period.
Part-time
For the first two years, part-time students attend classes for six hours per week during term-time. You will also be required to spend time on
background reading, research and assignments. There are no formal lessons in Year Three, but you will meet with your project supervisor on
a regular basis. Most modules are assessed by coursework only, but some involve an end-of-module examination.
Block-mode
Each module is taught in a five-day block of lectures, plus you will need to spend a substantial amount of time working independently on reading and preparing for assessments and examinations. This should represent about 160 hours of work. You will be sent a pack that will contain work for you to complete before each module starts. Typically, this is directed
reading to introduce you to the concepts that underpin the module.
Career prospects
Graduates will have skills that will make them well-suited to software engineering careers, particularly in roles that require a specialism in AI. Good graduates will be well-placed to continue their interests in AI through research to PhD level, plus will be equipped for a career where they can apply their knowledge in areas such as computer game intelligence development, financial and business planning, engineering and management information systems.
Additional Information
Seven Partner Universities
The course has been developed in collaboration by
seven European universities:
* “Rennequin SUALEM” Polytechnics, Belgium.
* Brno University of Technology, Czech Republic.
* University of La Rochelle, France.
* Aristotelean University of Thessaloniki, Greece,
* Technological Educational Institute of Crete, Greece.
* Universidad de Valladolid, Spain.
* University of Glamorgan
Students will be required to study for part of their award at Glamorgan and will be able to pursue part of their course at one or two of the other partner universities.
