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Data Science● OpenMastersPreview

Applied Data Science & Analytics Master's Programme

Advance your expertise with a practical Master's degree in Applied Data Science and Analytics at TU Dublin.

Best for:Best for computing, science, or engineering graduates seeking advanced practical expertise in data science and analytics.

TU Dublin - Technological University Dublin · Ireland · R1 · First-stage researcher
More professors at TU Dublin - Technological University Dublin
Applied Data SciencePredictive AnalyticsStatistical ModellingData MethodologyBusiness Analytics
This is a masters position — not a PhD studentship.
Deadline
Applications for full-time and some part-time postgraduate programmes commencing in September 2026 are now open. Applications for the remaining part-time programmes will open in February 2026. Please check individual course pages for application details.
Funding
—
2 years part-time
Start date
September 2026
Part-time
Location
Ireland
remote

Overview

The Applied Data Science & Analytics Master's programme at Technological University Dublin is a highly regarded, practical course tailored to industry demands. Structured around modern data science methodologies, the curriculum integrates mathematical rigor with advanced data models to generate actionable business insights. Delivered in a flexible online format, the programme emphasizes hands-on application and real-world problem-solving. Candidates are expected to engage with integrated coursework across diverse data-driven domains.

Data ScienceAnalyticsMaster's DegreeTU DublinMachine LearningStatistics

What you'll do

  • Complete integrated coursework emphasizing mathematical rigor and data science models
  • Participate in online lectures and collaborative sessions scheduled during evening hours
  • Apply data science methodologies to solve real-world industry problems
  • Complete assignments and projects focusing on data analysis and actionable insights

Requirements

Degree required: Second Class Honours Grade 2 (GPA 2.5 or equivalent) in an NFQ Level 8 Degree in Computing, Science, Engineering, Business with IT, or equivalent qualification

Degree offered: Master's (Level 9 NFQ)

Language: English; minimum IELTS Academic overall score of 6.5 with no less than 6 in each component, or equivalent

Instruction: English

Required skills
  • Foundational knowledge in computing, science, engineering, or business with IT
  • Proficiency in working with data and statistics
  • Ability to meet academic standards for a Level 9 postgraduate programme
Nice to have
Professional experience working with data and statistics in an industrial contextRelevant industrial certifications related to data science or analytics
Eligibility
  • Applicants must hold an eligible Level 8 degree or equivalent qualification
  • Candidates with Third Class Honours degrees may be considered with appropriate work experience and industrial certification

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
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Taught / research mode
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Study mode
Not confirmed by the source
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

Deadline: 2026-09-01

Submit an online application through the official TU Dublin postgraduate portal. Upon receipt of your application, you will be emailed a questionnaire template regarding your data and statistics experience to complete your submission alongside your transcripts and CV.

Documents required
  • CV
  • Level 8 award certificate
  • Academic transcripts
  • Certified English translations of transcripts if applicable
  • Completed experience questionnaire
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.