Data Science & Statistical Learning
Master the statistical and machine learning foundations needed to extract insights from real-world datasets.
Best for:Best for quantitative graduates with strong mathematical foundations looking to build advanced data science and machine learning expertise.
Overview
The Data Science & Statistical Learning Master's programme at the University of Limerick is designed for students seeking careers in data science and related quantitative fields. The curriculum focuses on analyzing real-world datasets, exploring data collection methodologies, and applying state-of-the-art statistical and machine learning models. Students learn to address complex population-level questions across diverse sectors, such as customer behavior in banking and operational efficiencies in pharmaceutical manufacturing. The programme places a strong emphasis on developing and strengthening advanced programming capabilities in languages such as R or Python.
What you'll do
- Examine real-world datasets to understand collection methods and explore underlying patterns
- Apply state-of-the-art statistical and machine learning models to answer complex population-level questions
- Develop and strengthen programming skills using languages such as R and Python
- Investigate business and industrial use cases, including customer behavior and manufacturing process optimization
Requirements
Degree required: Bachelor's degree (NFQ Level 8) with at least a second-class honour grade 2 (2:2) in Mathematics, Statistics, Physics, or a relevant quantitative discipline
Degree offered: Master's (Level 9 NFQ)
Language: English
Instruction: English
- Strong foundation in mathematics from prior academic studies with excellent performance in mathematical subjects
- Interest in developing or strengthening coding skills in R or Python
- Hold a recognized NFQ Level 8 bachelor's degree or equivalent in a quantitative discipline with a minimum 2:2 second-class honours grade
Funding & terms
Programme and admissions
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How to apply
Applicants should submit their application through the university's official application portal following the provided instructions. The university may shortlist candidates and invite them to an interview as part of the admissions process.
- BSc transcripts
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