MSc in Computer ScienceIntelligent Systems Strand
The Intelligent Systems strand focuses on smart, interactive web applications and systems, which are becoming an integral part of our daily lives - at home, in the workplace, and in social interaction. Designing and building these systems requires expertise in artificial intelligence, human language understanding and generation, web systems and applications, data analytics and knowledge engineering. This strand is closely linked to the school's research groups involved in the
ADAPT centre for Digital Content Technology.
Michaelmas Term (Sept-Dec)
Hilary Term (Jan-March)
Summer Term (April-August)
|Machine Learning||Text Analytics||Dissertation|
|Adaptive Applications||Artificial Intelligence|
|Knowledge& Data Engineering||Information Retrieval & Web Search|
|Advanced Software Engineering 1||Advanced Software Engineering 2|
|Research Methods & Innovation||Option 2|
|Option 1||Option 3|
Career BenefitThe marketplace of the future will see intelligent behaviour becoming the standard for computer systems. The courses within the Intelligent Systems strand will provide graduates with the ability to specialise in intelligent adaptive systems and artificial intelligence, providing them with the necessary skills to become leaders in these fields. Employment opportunities exist in a wide range of areas such as internet based services, financial services, mobile communication companies. Students will also benefit from the comprehensive research scope, networks, and wealth of research achievements in both the School and the ADAPT Centre.
Course ContentAlong with the core modules in the first semester, in Knowledge & Data Engineering, you will learn about the semantic web including model design, reasoning and querying. The Adaptive Applications module is hands-on, exploring how applications can adapt to suit individual users. Finally, you can choose one subject (5 credits) from a pool of MSc modules allowing you to complement your core interests in Intelligent Systems.
All students in semesters one and two will cover a 10 credit course in Advanced Software Engineering which explores the methods and techniques involved in large-scale software development encompassing Agile and eXtreme Programming (XP), Test-driven development and Re-factoring. Artificial Intelligence techniques including models of human cognitive architectures, knowledge representation techniques such as Ontologies and models of natural language processing. This course is complemented by the Text Analytics module which demonstrates how finite-state methods, model theory and category theory can be used to analyse content and determine sentiment. You will gain a grounding in Information Retrieval & Web Search, you will examine in-depth the theoretical and practical issues involved in searching the web or any or large corpus of documents, including text processing, ranking scores, classification etc. Finally, Option 2 and 3 allow you to once again broaden your core skills in Intelligent Systems with a module chosen from the other strands in this MSc programme.
By the time semester 3 has come along, you will have chosen your Dissertation topic, picked and consulted with your chosen supervisor and be ready to develop substantial time conducting research and prototyping your work. We expect that the top projects should deliver publishable quality papers over this period. At the end of the year, all projects will be showcased to an industry audience comprising indigenous, small & medium sized businesses and multinational companies.