Code

PG24324

Title

Master of Science in Artificial Intelligence

Programme Purpose

The Masters has been designed to meet the growing need for Artificial Intelligence (AI) throughout the workforce which can directly create added value and wealth to the Irish businesses and the society. Given society’s increasing communications with the global partners, AI is emerging as an identifiable discipline with a breadth and depth of content that encompasses many of the subfields (e.g. software development, machine learning, human/machine interactions etc.) that form the modern computing ecosystem. Semester one (FT) lays the groundwork for the programme and encompasses mostly foundational modules that focus on providing a solid and comprehensive understanding of the relevant concepts, a proficiency in the use of programming for data analytics and machine learning and pattern recognition. Learners develop advanced applied skills in essential areas such as programming, graph, machine learning and pattern recognition for AI while also offering theoretical knowledge of cognitive science. Semester two (FT) builds on this by covering advanced modules in which the knowledge, understanding and skills acquired in the first semester can be employed. Semester two modules offer applied skills in topics such as deep learning, reinforcement learning and natural language processing, as well as recommender systems. Semester two also comprises an Applied Research Methods module, which focuses on research and development skills. This module will inform learners’ Applied Research Project in Semester three (FT).In addition, the programme aims to incorporate advanced practical skills in each module for the professional development of learners to enhance their employability options. This will enable the learner to integrate seamlessly into an organisation by addressing skills such as awareness of social media, leadership, self-management, teamwork and academic writing that are essential for a Level 9 graduate. It is a 1-year full-time, 18 months part-time programme with five 5 ECTS and four 10 ECTS taught modules, and a 25 ECTS Applied Research Project.

Duration Description

NFQ Level(s)

9

EQF Level(s)

7

Location

Dublin City

Delivery Modes

Centre/School/College Based

Full Time

Part Time

PEL Applies

Yes

PEL Arrangements

Insurance Product

What is PEL?

Details

Validation Documents

Certificate of Validation, Panel Report