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  MSc in Machine Learning for Finance

Online University of Limerick    Kemmy Business School

September MSc Two Years Part-Time Online
Business & Management (5) Finance (14) Mathematics (25)

FindAMasters summary

Embark on a transformative journey with the MSc in Machine Learning for Finance at the University of Limerick. This cutting-edge programme seamlessly merges financial theory with technical prowess from computer science, catering to the evolving demands of the financial services industry. Delivered online, it offers flexibility through recorded lectures, live webinars, and practical assessments. The curriculum covers a spectrum of modules, including Data Analytics, Deep Learning for Finance, and Project Management in Practice, ensuring a holistic skill set acquisition. Notably, the programme welcomes applicants from diverse backgrounds, provided they possess relevant mathematical and computing knowledge. The option for Recognised Prior Learning offers a pathway for experienced individuals to join this innovative programme. With a focus on upskilling and reskilling, this unique MSc equips professionals with the expertise to thrive in the AI-driven financial landscape. Join us to elevate your career and meet the industry's growing demand for tech-savvy financial experts.

About the course

The MSc in Machine Learning for Finance is a unique, interdisciplinary programme which blends applied, practical financial theory with an advanced technical skillset derived from computer science. 

The MSc in Machine Learning for Finance is the first, fully online programme of its kind in Ireland. 

The programme leverages the experience, knowledge and expertise from the industry-led MSc in Artificial Intelligence. Combined with the award-winning finance postgraduate offerings in the Kemmy Business School, this programme provides a focussed upskilling initiative addressing widening AI skills shortage in the financial services industry.

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Entry Requirements

Applicants must hold an honours degree at a minimum second class honours, grade 2 in a relevant discipline such as 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 be considered.

Applicants with an honours degree, minimum 2:2, or equivalent in a non-numerate discipline and have three years experiential learning in an appropriate computing discipline will be considered.

RPL (Recognised Prior Learning) entry will be available for those who do not meeting the minimum entry requirement but who have gained substantial relevant experience..


Academic Year 2022/23

 Course Content

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Where will I study?

Where is University of Limerick


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