Machine Learning for Finance at University of Limerick

Machine Learning for Finance

Masters degree at University of Limerick

Program Details
Masters Degree
2.0 Years
Online Program
Program Cost

EUR 17,000

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Explore the Machine Learning for Finance program at University of Limerick. This program is offered in IRL and provides an excellent learning opportunity in Masters studies.

The MSc in Machine Learning for Finance at the University of Limerick is a pioneering online program that integrates financial theory with advanced technical skills in computer science. This interdisciplinary course is designed for professionals in the financial services and data analysis sectors, aiming to equip them with the necessary skills to meet the growing demand for AI expertise in finance. The program spans two years and is delivered primarily through recorded lectures, supplemented by live webinars and tutorials, allowing for flexible learning. Students will engage in practical assessments and project work, ensuring that they can apply their knowledge directly to their careers. With a total of 90 ECTS credits, the curriculum includes essential modules such as Capital Markets & Corporate Finance, Machine Learning for Finance, and a dissertation project, providing a comprehensive education in the intersection of finance and technology.

University
University of Limerick
University Location
IRL (Online)
Program Duration
2.0 years
Ranking
#422
Part-time allowed
Yes

Required Courses
  • Introduction to Scientific Computing for AI
  • Capital Markets & Corporate Finance
  • Data Analytics
  • Derivative Markets
  • Risk, Ethics, Governance and Artificial Intelligence
  • Advanced Topics Seminars and Project Specification
  • Project Management in Practice
  • Machine Learning for Finance
  • Deep Learning for Finance
  • Artificial Intelligence and Machine Learning
  • Project and Dissertation – Machine Learning for Finance
Elective Courses
  • No elective courses listed.
Online Program

This program can be completed entirely online.