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Data Science and Analytics● OpenMastersPreview

Data Analytics Master's Programme

Master advanced data analytics and big data processing through a flexible part-time or online postgraduate programme.

Best for:Best for science, business, or engineering graduates looking to build a career in big data analytics.

TUS - Athlone Campus · Athlone, Ireland · R1 · First-stage researcher
More professors at TUS - Athlone Campus
Big DataData AnalyticsFraud DetectionCommercial AnalysisTraffic Management
This is a masters position — not a PhD studentship.
Deadline
—
Funding
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2 years part-time
Start date
flexible
Temporary
Location
Athlone
Ireland

Overview

The Master of Science in Data Analytics at TUS Athlone Campus equips postgraduate students with the advanced skills needed to examine vast quantities of data and extract actionable insights. The curriculum covers key applications such as real-time fraud detection, commercial analysis, website optimization, and traffic management. Designed for working professionals and graduates, the programme combines rigorous academic coursework with practical data science training. Candidates are expected to engage thoroughly with complex analytical concepts and complete all required institute assessments.

Data AnalyticsBig DataMaster's DegreePostgraduateBusiness AnalyticsComputer Science

What you'll do

  • Complete advanced coursework and modules related to big data processing and statistical analysis
  • Examine large datasets to draw meaningful commercial and operational conclusions
  • Participate in academic lectures, online tutorials, and institute evaluations
  • Fulfill all continuous assessment and examination requirements across the curriculum

Requirements

Degree required: Level 8 or equivalent honours degree in Business, Science, or Engineering with a minimum grade of 2.2 (50%)

Degree offered: Master's (Level 9 NFQ)

Language: English; IELTS level of 6.5 or higher for non-native English speakers

Instruction: English

Required skills
  • Completed at least 30 ECTS credits in any combination of mathematics, computer science, or engineering
  • Foundational knowledge of quantitative methods or data analysis principles
Nice to have
Prior academic or professional experience involving data processing or programmingFamiliarity with database management or statistical software tools
Eligibility
  • Applicants must hold an eligible Level 8 honours degree or equivalent
  • All applicants are subject to an admissions interview

Funding & terms

Type
Unknown
Amount
—
Duration
2 years part-time
Programme
—

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
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
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Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Submit an application through the official institute portal. Eligible candidates will be invited to participate in an admissions interview as part of the selection process.

Documents required
  • Honours degree transcripts
  • Proof of English language proficiency
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.