Master of Science in Machine Learning for Finance
Upskill in applied machine learning, financial services, and data analytics at the University of Limerick.
Best for:Best for finance, data, and technology professionals wanting to combine machine learning with financial business acumen.
Overview
The Master of Science in Machine Learning for Finance at the University of Limerick is tailored for professionals in financial services, professional services, and data analysis seeking to build advanced technical and business capabilities. Delivered part-time and online over two years, the curriculum bridges the gap between modern machine learning techniques and core economic principles. Students gain rigorous training in applied technical skills alongside essential business acumen to meet growing industry demand. The programme supports diverse academic backgrounds through flexible entry criteria and a recognition of prior learning policy.
What you'll do
- Engage with online coursework, lectures, and interactive digital learning materials
- Complete applied assignments combining machine learning techniques with financial datasets
- Collaborate on peer discussions and group projects focusing on data-driven financial problem-solving
- Develop and execute a master's-level independent project or thesis integrating technical and business concepts
Requirements
Degree required: Bachelor’s degree (NFQ Level 8) with at least a second-class honour, grade 2 (2:2) in finance, economics, business, engineering, computing, mathematics, science, or technology
Degree offered: Master of Science (MSc Level 9 NFQ)
Language: English proficiency as required for postgraduate level study at the university
Instruction: English
- Foundational knowledge in mathematics, computing, finance, economics, or related disciplines
- Ability to handle quantitative data and analytical problem-solving
- Capacity for independent online learning and professional time management
- Hold an eligible Level 8 primary degree or qualify via the Recognition of Prior Learning (RPL) policy
Funding & terms
Programme and admissions
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A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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How to apply
Submit your application through the University of Limerick online admissions portal. Ensure all relevant academic transcripts and supporting evidence of qualifications or prior learning are uploaded as requested.
- CV
- Bachelor's degree transcripts
- Proof of identity
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.