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Data Science● OpenMastersPreview

MSc in Data Analytics

A comprehensive Master's programme designed to equip students with advanced skills in statistical analysis, machine learning, and data visualisation.

Best for:Best for graduates in STEM or related fields seeking to advance their technical expertise in data science and machine learning.

Dublin Business School · Dublin, Ireland · R1 · First-stage researcher
More professors at Dublin Business School
Statistical AnalysisMachine LearningData VisualisationInformation SystemsData Analytics
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
1 year (full-time) or 2 years (part-time)
Start date
unknown
Location
Dublin
Ireland

Overview

The MSc in Data Analytics at Dublin Business School is a postgraduate programme tailored to meet the increasing demand for data science expertise across global industries. The curriculum integrates theoretical knowledge with practical applications of modern technologies, including machine learning and statistical modelling. Students will engage with a multimodal learning environment that combines classroom instruction, online sessions, and independent study. The programme is designed to prepare graduates for professional roles by fostering proficiency in data-driven decision-making and technical analysis.

Data ScienceMScPostgraduateMachine LearningStatistical AnalysisData AnalyticsDublin Business School

What you'll do

  • Engage in advanced coursework covering statistical analysis and machine learning techniques.
  • Develop proficiency in data visualisation tools to communicate complex insights.
  • Participate in both classroom-based and online learning modules.
  • Complete mandatory on-demand content as part of the programme contact hours.
  • Apply mathematical and statistical methods to solve real-world data problems.

Requirements

Degree required: Level 8 honours bachelor's degree (minimum 2.2) or Level 8 Higher Diploma in a cognate area.

Degree offered: MSc

Language: English; B2+ level for non-native speakers.

Instruction: English

Required skills
  • Academic background in computer science, data science, engineering, mathematics, or statistics.
  • Demonstrated competency in mathematics equivalent to 10 ECTS credits.
  • Proficiency in English for non-native speakers (B2+ level or equivalent).
Nice to have
Professional experience in a data-related field for non-cognate degree holders.Prior experience with statistical software or programming languages.
Eligibility
  • Hold a Level 8 honours degree or Higher Diploma in a cognate discipline.
  • Non-cognate degree holders must possess 3-5 years of relevant professional experience.
  • Mathematical competency must have been acquired within the last ten years.

Funding & terms

Type
Unknown
Amount
—
Duration
1 year (full-time) or 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
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

Applicants should submit their application through the official Dublin Business School portal. Non-EU applicants residing outside of Ireland or the EU must apply directly to the International Admissions Office.

Documents required
  • Academic transcripts
  • Proof of English proficiency
  • CV
↗Check programme and admissions

Contact

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