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Data Science● OpenMastersPreview

Data Analytics Master's Degree

Master the skills to examine vast quantities of big data and extract actionable insights.

Best for:Best for graduates in business, science, or engineering with a strong quantitative foundation looking to specialize in big data analytics.

TUS - Limerick Campuses · Limerick, Ireland · R1 · First-stage researcher
More professors at TUS - Limerick Campuses
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This is a masters position — not a PhD studentship.
Deadline
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Funding
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1 year
Start date
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Full-time
Location
Limerick
Ireland

Overview

The Data Analytics Master's programme at Technological University Shannon (TUS) Limerick focuses on the systematic examination of large datasets, commonly known as big data, to generate critical business and scientific insights. Delivered over one year full-time, the curriculum bridges mathematical foundations, computer science, and engineering principles. Students gain advanced technical knowledge and practical training to handle complex data challenges. The programme is designed for graduates seeking to elevate their quantitative and analytical capabilities for modern data-driven industries.

Data AnalyticsBig DataMaster's DegreeBusiness AnalyticsComputer Science

What you'll do

  • Engage in advanced coursework covering big data processing and analytical methodologies
  • Examine vast quantities of data to draw reliable conclusions and strategic insights
  • Complete practical assignments utilizing computer science and engineering techniques
  • Fulfill all academic requirements for the Level 9 National Framework of Qualifications master's award

Requirements

Degree required: Level 8 or equivalent honours degree in Business, Science or Engineering

Degree offered: Master's (Level 9 NFQ)

Language: English; Equivalent of IELTS 6.0 and above

Instruction: English

Required skills
  • Minimum grade of 2.1 (60%) in an honours degree
  • At least 30 ECTS credits in mathematics, computer science, or engineering
Eligibility
  • Hold a Level 8 honours degree or equivalent in Business, Science, or Engineering

Funding & terms

Type
Unknown
Amount
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Duration
1 year
Programme
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Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
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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Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Interested applicants should visit the official TUS course webpage to submit their application through the designated admissions portal. Ensure all transcripts and English language test scores meeting the entry criteria are provided.

Documents required
  • Academic transcripts
  • Proof of English language proficiency
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Contact

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Check admissions, intake and funding with the official source; a listing does not mean applications are open.