The MSc in Artificial Intelligence (AI) at the National College of Ireland (NCI) is a comprehensive and rigorous program that provides students with a strong foundation in the fundamentals of AI, as well as the skills and expertise to apply AI to real-world problems. The program is designed to meet the needs of both industry and academia, and it is taught by experienced faculty members who are experts in their fields.
Curriculum
The MSc in AI curriculum is designed to provide students with a comprehensive understanding of the following core areas of AI:
Machine learning: This course covers the principles and techniques of machine learning, including supervised learning, unsupervised learning, and reinforcement learning.
Deep learning: This course introduces students to the principles and techniques of deep learning, including neural networks, convolutional neural networks, and recurrent neural networks.
Natural language processing (NLP): This course covers the principles and techniques of NLP, including text classification, machine translation, and sentiment analysis.
Computer vision: This course covers the principles and techniques of computer vision, including object detection, image segmentation, and facial recognition.
Data Analytics for Artificial Intelligence: This module is a comprehensive course that covers a wide range of topics related to data analysis and its application in artificial intelligence. The module aims to provide students with a strong foundation in data analytics principles and techniques, as well as the skills and knowledge to apply these concepts to real-world problems.
In addition to these core areas, the MSc in AI curriculum also includes courses on ethical considerations in AI, the application of AI to business problems, and the development of AI systems.
Teaching Methodology
The MSc in AI program is taught using a variety of teaching methods, including lectures, tutorials, workshops, and group projects. The program also encourages students to participate in research activities, and there are opportunities for students to undertake research projects under the supervision of faculty members.
Facilities
NCI provides students with state-of-the-art facilities for AI research and development, including access to advanced software tools, computing infrastructure, and research labs.
Career Prospects
The MSc in AI at NCI is a highly respected qualification that is in high demand by employers in a variety of industries. Graduates of the program are well-prepared for careers in AI research, development, and application.
Overall, the MSc in AI at NCI is an excellent program that will prepare you for a successful career in the field of AI. The program is rigorous, comprehensive, and industry-focused, and it will provide you with the skills and knowledge you need to make a real impact in the world.
September 2025
National College of Ireland
Mayor Street,
International Financial Services Centre, Dublin 1,
Dublin,
D01 K6W2, Republic of Ireland
A minimum of a level 8 primary degree in Computing or a cognate area with a 2.2 award or higher or equivalent on the National Qualifications Framework in Computing or a Cognate area. Candidates are expected to have programming ability. Cognate area means a STEM (Science, Technology, Engineering, and Mathematics) degree that also taught programming/ application development related modules. An assessment and/ or interview may be conducted to ascertain suitability if necessary for candidates who do not meet the normal academic requirements.
The college operates a Recognition of Prior Experiential Learning (RPEL) scheme meaning applicants who do not meet the normal academic requirements may be considered based on relevant work and other experience. This may be assessed using a portfolio of learning, demonstration of work produced, and an interview. The programming ability of the applicant will also be assessed.
Non-English speaking applicants must demonstrate fluency in the English language as demonstrated by IELTS academic score of at least 6.0 or equivalent.
*There may be different IELTS requirements depending on your chosen course.