Data Science & Statistical Learning

University of Limerick


Course Name Data Science & Statistical Learning
Course Provider University of Limerick
Course Code 112704 (Assigned by Qualifax. Not an official code)
Course Type Postgraduate
Award NameNFQ ClassificationAwarding BodyNFQ Level
Degree - Masters (Level 9 NFQ)  More info... Major University of Limerick Level 9 NFQ
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Attendance Options Full time, Daytime
Location (Districts) Limerick City
Qualification Letters MSc.
Application Date

Expand+How to apply:
1. Choose your programme.
2. Check closing date for the programme.
3. Apply online at
4. Have your supporting documentation ready to upload.
5. Pay the application fee (€35 online / €40 bank draft or cheque).
6. Subm...

Application Weblink Web Page - Click Here
Duration 1 Year Full-Time.
Link to Course Fee Web Page - Click Here
Entry Requirements The minimum entry requirement is a 2:2 undergraduate degree (Level 8 - National Qualifications Authority of Ireland) (or equivalent) in Mathematics, Statistics, Computer Science, or other relevant quantitative discipline, or equivalent qualification that is recognised by the University as meeting this requirement. The University reserves the right to shortlist and interview applicants as deemed necessary.
Course Summary

Expand+The MSc in Data Science and Statistical Learning provides an exciting opportunity for students with a quantitative background to specialise in the rapidly expanding field of data science, with an emphasis on statistical perspectives. The course mo...

Course Content Key Fact.
Data science is one of the most rapidly growing areas in industry. There is an increasing demand for graduates with skills in statistical data analysis and computation to implement advanced analytics techniques and solve challenging real-world problems.
Subjects Taught

Expand+Programme Content
Semester 1
• Statistical Inference for Data Science
• Fundamentals of Statistical Modelling
• Scientific Computation
• Database Systems in Practice
• Text Analytics and Natural Language Processing

Semester 2

Further Enquiries Course Director
James Sweeney
Tel: +353 (0) 61 202609
Course Web Page Web Page - Click Here