This online MSc in Artificial Intelligence is ideal if you are motivated by the challenges and infinite possibilities of advancing AI. It is designed to give professionals from computer science – as well as a host of other disciplines – the opportunity to specialise in AI and meet the increasing demand for experts in this exciting, future-focused, and rapidly growing specialism. At the forefront of human progress In recent years, Artificial Intelligence is significantly more closely connected with human progress and societal change. It calls on new and powerful data algorithms to ensure that intelligent machines work in closer collaboration with us than ever before. AI is evolving at a rapid pace. It has a broad application across a variety of business functions, including marketing and policymaking, finance, and healthcare. This online MSc also addresses the ethical implications of advancing machine intelligence, and related issues around transparency and accountability. These are factors that have previously been overlooked by many in the rush to extend the possibilities of technology. • 7th for student experience for computer science in the Times and Sunday Times Good University Guide 2022* • Top 10 in the UK for Computer Science by the Complete University Guide 2023* • Top 10 for course satisfaction in computer science and information systems by The Guardian University Guide 2022* Forge a future in AI In order to help you to take advantage of a wide range of future career opportunities, the online MSc in Artificial Intelligence contains a broad range of practical subjects, such as programming, data science and robotics. This enables a comprehensive understanding of AI and its application in the real world. You can opt to take two specialist pathways: a general pathway focused on AI in context, with the other exploring technical aspects of AI in further depth. As a result, whether you’re seeking to fill the digital skills gap or eager to learn about the latest breakthroughs in AI, this course will challenge your thinking and give you the tools to apply your knowledge into practice. Interactive online learning The course is delivered remotely and entirely online. Learning material is made available to students via a Virtual Learning Environment (VLE). Assessments are conducted online, also through the VLE. Students study one unit at a time, and learning support is provided through electronic discussion forums and live tutorial sessions. “I have enjoyed greatly sections on ethics, natural language processing and machine learning. It is the key concepts that underline these technologies that are of importance to my current role. Data products that we are building will benefit greatly from these technologies. As a mature student, being emersed back into academia has been mind-opening: learning new concepts and ideas, rather than the employment-focused ongoing improvement of existing ideas and processes.” Jeremy Green – Artificial Intelligence online MSc student Study Details: MSc 2 years and 3 months online Intake dates: September, January and May
• Principles of Programming for Artificial Intelligence (10 credits) • Mathematics for Artificial Intelligence (10 credits) • Foundations of Artificial Intelligence (10 credits) • Applications of Artificial Intelligence (10 credits) • Humans and Intelligent Machines (10 credits) • Introduction to NLP (10 credits) • Artificial Intelligence Systems Engineering (10 credits) • Further Artificial Intelligence (10 credits) • Research Project Preparation (10 credits) • Dissertation (60 credits) Optional Units: General Pathway • Machine Learning (10 credits) • Artificial Intelligence as a Social and Political Practice (10 credits) • Robotics (10 credits) Optional Units: Technical Pathway • Foundations and Frontiers of Machine Learning (10 credits) • Reinforcement Learning (10 credits) • Robotics and Machine Vision (10 credits)
You should have a first or strong second-class bachelor’s honours degree or international equivalent. To apply for this course, you may have an undergraduate degree in any subject, but you must demonstrate evidence of relevant quantitative skills (especially algebra and calculus) either through your degree study or by alternative means.
Fees and funding
|Republic of Ireland||£722||Credit|