Master in Machine Learning for Finance

The University of Limerick, founded in 1972 and located on a scenic riverside campus in Limerick, Ireland, is known for combining high quality teaching with strong industry engagement. With about 16,300 students including some 2,700 international learners, the university offers a broad portfolio of programs across arts, business, engineering, science, health and education. Its compact campus and emphasis on experiential learning create a supportive environment for academic and personal development.

Students benefit from practice-oriented study, extensive placement options and partnerships with local and international employers that help translate classroom learning into real-world skills. The university’s 151 programs provide flexible pathways at undergraduate and postgraduate levels, while research activity and innovation hubs support entrepreneurship and graduate employability. Campus life balances academic support with opportunities for clubs, sport and cultural engagement.

International students find dedicated services for admissions, visas, accommodation and integration, plus strong career support through co-op placements and industry links. Limerick’s location offers the advantages of a lively regional city with good transport to major Irish centres. Graduates typically pursue careers in industry, research or professional practice, benefitting from the university’s practical focus and global outlook.

This Master in Machine Learning for Finance is a 2-year program for professionals in finance and data analysis, offered in English at the University of Limerick in Ireland.

The curriculum includes modules like Introduction to Scientific Computing for AI, Capital Markets and Corporate Finance, and Machine Learning for Finance, helping students develop skills in AI, machine learning, and financial theory.

Graduates can pursue roles like Finance Managers, Fund Managers, and Algorithmic Traders, with skills that are transferable across industries, including finance, technology, and consulting.