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MSc in Big Data Management and Analytics

A specialist master’s programme equipping graduates with advanced skills in data analytics and management for the dynamic tech industry.

Best for:Best for computing science graduates or professionals with relevant work experience seeking to specialise in big data analytics and management.

Griffith College Dublin · Dublin, Ireland
More professors at Griffith College Dublin
big-datadata-engineeringdata-miningdata-analyticsdata-managementcomputational-statistics
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
1 year full-time
Start date
flexible (typically aligned with academic intake)
Full-time
Location
Dublin
Ireland

Overview

The MSc in Big Data Management and Analytics at Griffith College Dublin is designed to prepare students for careers in data-driven industries. This Level 9 programme focuses on developing analytical thinking and technical expertise in handling large datasets, data processing, and advanced analytics. Students will gain hands-on experience with modern tools and methodologies used in the field. The curriculum balances theoretical knowledge with practical applications, ensuring graduates are industry-ready. This programme is ideal for those seeking to specialise in data science and analytics within a rapidly evolving sector.

big data analyticsdata sciencedata managementdata processingLevel 9 Master’scomputing sciencedata-driven decision makingindustry-ready skills

What you'll do

  • Develop advanced skills in managing and analysing large datasets using cutting-edge tools and techniques.
  • Learn to apply data analytics methodologies to solve real-world business problems.
  • Gain hands-on experience with data processing, storage, and visualisation technologies.
  • Engage in practical projects that simulate industry scenarios to enhance problem-solving abilities.
  • Collaborate on group assignments to foster teamwork and communication skills in a data-driven environment.
  • Develop a strong analytical mindset to interpret complex data and derive actionable insights.

Requirements

Degree required: A 2.2 honours degree (Level 8) in Computing Science, or a 2.2 Higher Diploma in Computing or a related discipline, or an equivalent international qualification, and/or relevant work experience.

Language: English proficiency demonstrated by the Duolingo English Test (DET) or equivalent.

Instruction: English

Required skills
  • Proficiency in computing science principles and concepts.
  • Basic familiarity with data handling and analytical tools.
  • Ability to work independently and collaboratively in a team setting.
Nice to have
Prior experience with data analytics or related fields.Familiarity with programming languages such as Python or R.Interest in emerging technologies like machine learning or artificial intelligence.
Eligibility
  • Open to international applicants with valid visa requirements for Ireland.
  • No age restrictions mentioned.
  • Relevant work experience may be considered in lieu of specific degree requirements.

Funding & terms

Type
Unknown
Amount
1 year full-time
Duration
1 year
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 must complete an online application form available on the Griffith College website. Required documents include academic transcripts, proof of English proficiency, and a statement of purpose or CV. Follow the application link provided to submit your materials directly through the Griffith College portal.

Documents required
  • CV or personal statement
  • Academic transcripts (BSc + Higher Diploma if applicable)
  • Proof of English proficiency (Duolingo English Test or equivalent)
  • Relevant work experience documentation (if applicable)
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