Computer Science - Artificial Intelligence

This programme is aimed at graduates with a primary qualification in Computer Science or related subject area. It is not a conversion course, but expects students to be already at a very high technical standard with regard to their Computer Science education. This MSc is targeted at high-performing graduates of Level 8 computer science programmes, or Level 8 science/engineering programmes that offer sufficient training in computing. The minimum academic requirement for entry to the programme is a First Class Honours (or equivalent) from a recognised university or third-level college. However, a good Second Class Honours (or equivalent) can be deemed sufficient on the recommendation of the Programme Director. 

Year 1 (90 Credits)

Required CT5142: Artificial Intelligence and Ethics

Required CT5132: Programming and Tools for AI

Required CT5120: Introduction to Natural Language Processing

Required CT5129: Artificial Intelligence Project

Required CT4100: Information Retrieval

Required CT5165: Principles of Machine Learning

Required CT5135: Research Topics in AI

Required CT5134: Agents, Multi-Agent Systems and Reinforcement Learning

Required CT5100: Data Visualisation

Required CT5133: Deep Learning

Optional CT5105: Tools and Techniques for Large Scale Data Analytics

Optional CT561: Systems Modelling and Simulation

Optional CT5141: Optimisation

Optional CT5121: Advanced Topics in Natural Language Processing

Optional EE551: Embedded Image Processing

Optional CT5113: Web and Network Science

Optional CT5187: Knowledge Representation

Optional CT5166: Knowledge Graphs

Optional CT5100: Data Visualisation

ECTS weighting 90

1 year, full-time.

Fees: EU

€7,215 p.a. 2019/20


Fees: Tuition

€6,991 p.a. 2019/20


Fees: Student levy

€224 p.a. 2019/20


Fees: Non EU

€17,750 p.a. 2019/20

Next start date: September 2026

AI skills will be required in every industry and AI is projected - according to recent World Economic Forum research - to create globally around 97 million new jobs. The World Economic Forum estimates that by 2025 machines are expected to perform more current work tasks than humans compared to 71% being performed by humans today , and a PwC-report concludes that artificial intelligence, robotics and smart automation technology could contribute up to $15.7 trillion to the global GDP by 2030.



Within the AI space, there is a diversity of jobs requiring various levels of expertise:



More foundational jobs include data architects, software engineers and machine and deep learning engineers.



Advanced roles include specialist research engineers, including those that specialise in computer vision, language and speech, and AI architects.