MSc in Data Science
Master the analysis and utilisation of large data sets through a comprehensive postgraduate programme in Carlow.
Best for:Best for numerate graduates and industry professionals seeking advanced specialisation in data science and big data.
Overview
The MSc in Data Science NFQ Level 9 programme at SETU Carlow Campus prepares graduates for technical and leadership positions in the Big Data and IT sectors. It combines theoretical foundations with practical implementations in data analysis and development projects. Students engage with large data sets to solve real-world industry challenges. The curriculum is tailored to equip professionals with robust analytical and computational capabilities.
What you'll do
- Complete coursework and practical training in advanced data science methodologies
- Conduct data science development projects utilising large data sets
- Apply theoretical concepts to solve complex analytical problems
- Engage with collaborative group work and practical IT assignments
Requirements
Degree required: Second class honours level 8 primary degree in computer science, mathematical sciences, or a numerate discipline
Degree offered: MSc
Language: English
Instruction: English
- Proficiency in computer science, mathematics, or a numerate field such as engineering, finance, physics, biosciences, or economics
- Strong numerical and analytical aptitude
- Hold a Level 8 primary degree with second class honours or equivalent in a relevant discipline
- Alternatively, hold an undergraduate degree (Level 7 or 8) with a minimum of 5 years verifiable relevant industrial experience
- Applicants without a primary degree will be considered with a minimum of 10 years verifiable relevant industrial experience
Funding & terms
Programme and admissions
Admissions not verified
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- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Deadline: 2026-08-28
Applicants should submit their application through the official university application portal before the specified deadline. Ensure all academic transcripts and supporting documentation regarding qualifications or industrial experience are provided.
- Academic transcripts
- Proof of qualifications
- CV
Contact
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