MSc in Business Analytics & AI for Management

Programme Overview 

The MSc in Business Analytics and AI for Management brings together technical capability, business acumen and advanced problem-solving. The programme equips students with the analytical and strategic expertise needed to work with data, apply advanced analytics and use AI tools to support managerial decision-making.

Running since 2021 as the MSc in Business Analytics, the programme has been renamed and refreshed for the 2026 intake. It now includes new AI-focused content and new part-time study options, alongside the established full-time route.

This is a semi-technical programme. Students build practical capabilities across business analytics, programming, data management, machine learning, generative AI and AI deployment, using tools such as R, SQL and Python.

Students also explore the ethics, sustainability and strategy of AI in business, learning how analytics and AI can be applied responsibly to real organisational challenges.

Why AI?

AI is now central to how organisations use data, automate decisions, improve performance and build new business models. The programme reflects this shift through dedicated modules in Generative AI for Business, Business AI Deployment, Ethical and Sustainable Issues for Business AI, and Business and AI Strategy.

Recent research from Trinity College Dublin and Microsoft Ireland points to a widening AI maturity gap between organisations, underlining the need for graduates who can help businesses adopt AI in a practical, responsible and effective way.

Programme at a Glance 

• Start Date: September 2026
• Delivery Modes: Full-time on campus, part-time on campus and online (find out more about delivery modes)
• Duration: 1 year full-time or 2 years part-time
• Rankings: 1st in Ireland, 14th in Europe and 34th in the world (QS Master's In Business Analytics Ranking 2026) 
• Fees (2026/27 academic year): Fees vary by delivery mode (view fees)

Student Profile

The MSc in Business Analytics and AI for Management is designed for ambitious individuals with strong quantitative and analytical skills who are eager to solve real-world business and management problems using data and artificial intelligence.

Students typically have a strong academic background in quantitative subjects such as Economics, Engineering, Mathematics, Computer Science or Business, or significant professional experience in similar fields.

Applicants are not required to have prior coding or programming experience. However, the programme is best suited to applicants with strong quantitative and analytical ability, or relevant professional experience in analytical, technical, business or data-related roles.

There is no formal work experience requirement, and recent graduates may apply for any delivery mode.

Career Prospects

As businesses become increasingly digital and focused on enhancing efficiency, our graduates are highly sought after across a range of industries such as technology, consulting, energy, healthcare and financial services.

The programme equips students with critical and in-demand skills at the intersection of data science, business strategy, and AI, leading to roles such as AI and Data Analyst, Business Analyst, Data Analyst, Data Scientist, Financial Analyst, Marketing Analyst, Quantitative Analyst and Consultant roles. Graduates of the programme have gone on to work with leading employers including AIB, Accenture, Amazon, Bank of Ireland, Deloitte, EY, Forvis Mazars, Grant Thornton, Mastercard, Musgrave, Qualtrics, Salesforce, Stripe and TikTok. 

The programme’s focus on applied learning, combined with strong industry links, helps students transition smoothly into the workforce. Graduates are well positioned to contribute to data-driven decision making in a rapidly evolving business landscape. 

Visit our Careers section to find out more about our dedicated postgraduate careers team.