Machine Learning for Finance

The MSc in Machine Learning for Finance is aimed at those working in financial services, professional services and data analysis roles who wish to upskill and reskill to meet the considerable industry demand for applied technical skills combined with strong business acumen.

Applicants should hold a bachelor’s degree (NFQ Level 8) with at least a second-class honour, grade 2 (2:2) in the following disciplines: finance, economics, business, engineering, computing, mathematics, science or technology. Applicants from other disciplines who have relevant mathematics and computing elements in their primary degree will also be considered. Other Entry Considerations: We encourage you to apply even if you don’t meet the standard entry requirements, as long as you can show that you have the knowledge, skills, and experience needed for the programme. At UL, we value all kinds of learning and support different ways to qualify through our Recognition of Prior Learning (RPL) policy.