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Data Science● OpenMastersPreview

Master of Data Science

Advance your expertise in data analytics, machine learning, and statistics to drive innovation in a data-driven world.

Best for:Best for professionals and graduates seeking to build advanced technical expertise in data analytics and machine learning.

Griffith University · Gold Coast, Australia · R1 · First-stage researcher
More professors at Griffith University
Data AnalyticsMachine LearningStatisticsBig DataData Innovation
This is a masters position — not a PhD studentship.
Deadline
—
Funding
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Start date
unknown
Location
Gold Coast
Australia

Overview

The Master of Data Science at Griffith University is a comprehensive coursework program designed to equip students with the advanced analytical skills required to navigate complex data landscapes. Students will explore the intersection of machine learning, statistical modeling, and big data to derive actionable insights across various professional sectors. The curriculum balances theoretical foundations with practical, hands-on experience to ensure graduates are prepared to tackle real-world data challenges. This program is suitable for individuals seeking to enhance their technical proficiency and leadership capabilities in data-centric roles.

Data ScienceMaster of Data ScienceData AnalyticsMachine LearningGriffith UniversityPostgraduate Study

What you'll do

  • Engage in advanced coursework covering data analytics and statistical methodologies.
  • Apply machine learning techniques to solve complex, large-scale data problems.
  • Develop proficiency in extracting meaningful conclusions from diverse big data sources.
  • Participate in practical, hands-on projects to bridge the gap between theory and industry application.
  • Collaborate on data-driven initiatives to drive organizational efficiency and innovation.

Requirements

Degree required: Bachelor degree or higher in a related or unrelated discipline depending on the chosen pathway.

Degree offered: Master of Data Science

Language: English proficiency required for international students.

Instruction: English

Required skills
  • Academic proficiency with a minimum GPA of 4.0 on a 7.0 scale.
  • For the 1-year pathway: 5 years of full-time relevant professional experience.
  • Foundational knowledge in quantitative or analytical subjects.
Nice to have
Prior experience in data-related professional roles.Background in mathematics, statistics, or computer science.
Eligibility
  • Must hold a recognized Bachelor degree or equivalent.
  • Must meet the minimum GPA requirement of 4.0/7.0.
  • Alternative admission criteria based on formal, informal, and non-formal learning may be considered.

Funding & terms

Type
Unknown
Amount
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Duration
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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
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

Interested applicants should visit the official Griffith University degree page to review specific pathway requirements. Applications are submitted through the university's international student portal.

Documents required
  • Academic transcripts
  • Proof of English proficiency
  • CV (for professional experience pathways)
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.