Overview
Machine Learning for Finance (Online) course from the University of Limerick combines elements of award-winning finance postgraduate education from Kemmy Business School, as well as our industry-led MSc in Artificial Intelligence.
It is ideal for anyone in financial services, professional services and data analysis who wants to upskill and reskill and develop skills that will be hugely in-demand in the industry in future.
If you are being sponsored by your employer, you may receive co-funding by the ICBE Advanced Productivity Skillnet. For further information see the fees section.
During this programme, you will:
- Discover how Artificial Intelligence and Machine Learning can transform processes and projects in financial services and unlock inspiring career opportunities.
- Develop a powerful blend of business knowledge and applied skills. Draw on the expertise of our industry-led MSc in Artificial Intelligence, as well as the finance insight of Kemmy Business School.
- Focus on practical skills and insights that you can immediately apply in the workplace.
- Benefit from lectures, tutorials, and assessments which are designed to be flexible, so you can learn in a way that works around you.
Get more details
Visit programme websiteProgramme Structure
Courses include:
Scientific Computing for AI
Capital Markets & Corporate Finance
Artificial Intelligence and Machine Learning
Data Analytics
Derivative Markets
Machine Learning for Finance
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , EEA/EU
- Apply before , International
- Apply before , National
-
EU Applicants: Early application is advisable.
Language
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Credits
Delivered
Campus Location
- Limerick, Ireland
Disciplines
Finance Machine Learning View 4 other Masters in Machine Learning in IrelandExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- 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.
- 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.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents10600 EUR / year≈ 10600 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals8800 EUR / year≈ 8800 EUR / year
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Machine Learning for Finance (Online).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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