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MSc in Artificial Intelligence for Business

Ireland

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What will I learn?

The MSc in Artificial Intelligence for Business (MSCAIBUS) is a 12-month, full-time postgraduate programme that provides students with a comprehensive understanding of artificial intelligence (AI) and its application in business. The programme 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 MSCAIBUS curriculum is designed to provide students with a strong foundation in 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.
  • Knowledge representation and reasoning: This course covers the principles and techniques of knowledge representation and reasoning, including logic, ontologies, and reasoning systems.
  • AI ethics and social impact: This course explores the ethical and social implications of AI, including issues such as bias, transparency, and privacy.

In addition to these core areas, the MSCAIBUS curriculum also includes courses on the application of AI to business problems, such as:

  • AI for marketing: This course covers the use of AI to improve marketing campaigns, customer engagement, and personalization.
  • AI for finance: This course covers the use of AI to improve risk management, fraud detection, and investment strategies.
  • AI for supply chain management: This course covers the use of AI to optimize supply chains, improve inventory management, and reduce costs.
  • AI for healthcare: This course covers the use of AI to improve diagnoses, treatments, and patient outcomes.

Teaching Methodology

The MSCAIBUS 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 MScAIBUS 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 MScAIBUS 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.

Which department am I in?

School of Computing

Study options

Full Time (1 year)

Tuition fees
€15,000.00 (13,56,361) per year
Scholarship Available at €5000
Application deadline

Expected May 2025

Start date

September 2025

Venue

National College of Ireland

Mayor Street,

International Financial Services Centre, Dublin 1,

Dublin,

D01 K6W2, Republic of Ireland

Entry requirements

For international students

Applicants are required to hold a minimum of a Level 8 honours qualification (2.2 or higher) or equivalent on the National Qualifications Framework in either STEM (e.g., Information Management Systems, Information Technologies, Computer Science, Computer Engineer) or Business (e.g., Business Information Systems, Business Administration, Economics) discipline and a minimum of three years of relevant work experience in industry, ideally but not necessarily, in management.

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 an IELTS academic score of at least 6.5 or equivalent.

*There may be different IELTS requirements depending on your chosen course.

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