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Course delivery occurs outside of a physical classroom, and generally takes place online.
Microcreds overview
The Professional Diploma in Financial Analytics equips learners with advanced competencies in financial data analysis, machine learning, and AI-driven decision-making. This programme confronts the pressing skills shortages in the dynamic fields of finance, banking, insurance, and data analytics, specifically tailored for financial services. It supports national objectives in digital transformation, fintech, and compliance, preparing professionals for evolving roles in risk assessment, trading, investment analytics, and financial data governance. Additionally, its 30 ECTS credit structure facilitates progression within the UL@Work Master of Professional Practice, allowing learners to combine multiple professional diplomas over five years.
Requirements
The principal entry requirement is a Level 8 honours degree, at minimum second class honours (NFQ or other internationally recognised equivalent), in a finance-related discipline with a recommendation for a relevant numerate experience such as finance analytics, economics, business, engineering, computing, mathematics, science, or technology. Applicants from other disciplines who have a relevant mathematics and computing element in their primary degree will also be considered. Applicants who possess an honours undergraduate degree, minimum second-class, or equivalent in a non-numerate discipline and have a minimum of 3 years of experiential learning in an appropriate computing discipline will be considered. The University reserves the right to shortlist and interview applicants as deemed necessary. Applicants must also satisfy the University's English Language Requirements. The University of Limerick Recognition of Prior Learning (RPL) policy applies.

