Computer Science - Intelligent Systems

Course Description
The new M.Sc in Computer Science has a common set of entry criteria and leads to a Master's degree in Computing specializing in one of four exciting areas: Data Science, Intelligent Systems, Graphics and Vision Technologies and Future Networked Systems.

The course is designed and taught by staff who are renowned research leaders in their fields. The course content is inspired by their cutting-edge work as well as their contacts with leading industry researchers around the globe.

We expect our graduates to be in high-demand for top-end research and development positions within leading multi-national companies and from start-up companies alike. There will also be opportunities to progress to PhD study with many funded positions available locally.

Intelligent 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.

Course Content
In the first term, all students gain the necessary skills in a number of Core Modules common to the M.Sc Programme. These include Research Methods (to enable students to produce their own dissertation), Innovation (to equip students with skills in company formation or innovating within a large company) and Machine Learning (a foundational technique for each of the specializations). In addition, students will make a start on specialist modules in their chosen strand. During the 2nd term, students begin foundational work on their dissertation, and immerse themselves in further specialist modules of their chosen strand. The Summer term will be exclusively focused on the Dissertations, doing experimental work, building prototypes and writing up the work.

Along with the core modules in the first term, you will gain a grounding in Information Retrieval & Web Search, and 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. In Knowledge & Data Engineering, you will learn about the semantic web including model design, reasoning and querying. All students take a 10-credit module in Advanced Software Engineering, taught over two terms, which explores the methods and techniques involved in large-scale software development encompassing Agile and eXtreme Programming (XP), Test-driven development and Re-factoring. Finally, you can choose one option from a pool of MSc modules allowing you to complement your core interests in Intelligent Systems.

The second term will deal with Artificial Intelligence techniques, including models of human cognitive architectures, knowledge representation techniques such as Ontologies and models of natural language processing. This module 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. The Adaptive Applications module is hands-on, exploring how applications can adapt to suit individual users. Finally, Options 2 and 3 allow you to once again broaden your skills through further elective modules chosen from the other strands in this M.Sc programme.

By the Summer Term, 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. During the year, all projects will be showcased to an industry audience comprising indigenous small & medium sized businesses and multinational companies.

Entry requirements

Admission Requirements
The MSc programme aims to produce very high quality graduates that can become leaders in high-tech industry and academic research. It will be intensive, demanding and rewarding.

For entry to the course, we require the following:

•A II.1 (60-69%) grade or higher from a reputable university in Computing or strongly related discipline

•A standard of English language competence that will allow full participation in coursework, classwork and other activities - this means an IELTS level of 6.5. For further details on this please visit the International Students Entry Requirements website

•You need to be able to be fully competent in programming in C, C++ or Java [for Graphics and Vision Technologies, you will need to have or acquire competence in C++]

•A strong work ethic and the resolve to strongly engage with the demanding programme. This means, for example, that it will be extremely difficult to do the course while holding part-time employment.

Subjects taught

Intelligent Systems Strand Modules:
Michaelmas Term (Sept-Dec)
• Machine Learning
• Information Retrieval & Web Search
• Knowledge & Data Engineering
• Research Methods and Innovation
• Advanced Software Engineering
• Option 1

Hilary Term (Jan-March)
• Text Analytics
• Artificial Intelligence
• Adaptive Applications
• Advanced Software Engineering (continued)
• Option 2
• Option 3
Summer Term (April-August)
• Dissertation

Options 1, 2 and 3 are elective modules taken from other M.Sc Strands. More detail on each individual module is available at:


1 year full-time.

Enrolment dates

Next Intake September 2020

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Career Benefit
The 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.

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  • Qualifications

    Degree - Masters (Level 9 NFQ)

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