A minimum 2.1 Honours degree (NFQ Level 8 or equivalent). In Indian terms, that typically means 60–70% aggregate or ~7.0 CGPA/10, with stronger applicants at the top of this range.
Acceptable bachelor backgrounds include: Engineering, Mathematics, Statistics, Computer Science, Economics, Business, Physics—especially those who have studied quantitative techniques, programming/statistics, decision sciences. A strong quantitative foundation is essential (at least six lines worth): Statistics & probability, Regression and machine learning, Programming skills (R, Python, SQL), Operational research/optimisation, Data visualisation & decision analytics, Business context understanding.
