PhD Monitor
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Computing and information technology● OpenMastersPreview

Master of Data Science

Develop advanced technical skills in artificial intelligence and machine learning to solve complex data challenges for industry and government.

Best for:Best for professionals and graduates seeking to build technical expertise in AI and machine learning for data-driven decision-making.

Deakin University · Cloud(online), Australia · R1 · First-stage researcher
More professors at Deakin University
Data ScienceArtificial IntelligenceMachine LearningData AnalyticsStrategic Decision Making
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
flexible
Location
Cloud(online)
Australia

Overview

The Master of Data Science at Deakin University is designed to prepare graduates for the rapidly growing demand for data specialists across all sectors. Students will gain expertise in harnessing data through artificial intelligence and machine learning to inform strategic decision-making and operational efficiency. The curriculum focuses on developing innovative solutions to address the complex data challenges faced by modern organizations and governments. This program is suitable for individuals looking to manage risk, optimize performance, and gain a competitive advantage through data-driven insights.

Data ScienceMachine LearningArtificial IntelligenceData AnalyticsBig DataOnline Learning

What you'll do

  • Develop technical proficiency in data analysis and interpretation.
  • Apply artificial intelligence and machine learning techniques to real-world datasets.
  • Design innovative solutions for industry and government data challenges.
  • Analyze large volumes of data to support strategic organizational decisions.
  • Manage risk and optimize performance through data-driven insights.

Requirements

Degree required: Bachelor degree or higher in a related or unrelated discipline (depending on credit point pathway).

Degree offered: Master of Data Science

Language: English proficiency required for international students.

Instruction: English

Required skills
  • Foundational knowledge in data-related concepts.
  • Analytical thinking and problem-solving skills.
  • Ability to engage with complex data sets.
Nice to have
Prior experience in a related discipline.Relevant work experience for specific credit point pathways.Background in mathematics or statistics.
Eligibility
  • Completion of a bachelor degree or higher for 16 credit point pathway.
  • Completion of a bachelor degree in a related discipline or relevant work experience for 12 credit point pathway.
  • Completion of a graduate certificate/diploma or honours degree in a related discipline for 8 credit point pathway.

Funding & terms

Type
Unknown
Amount
—
Duration
—
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

Applications can be submitted through the Deakin University course portal. Prospective students should review the specific credit point pathway requirements before applying.

Documents required
  • Academic transcripts
  • Proof of degree completion
  • Evidence of relevant work experience (if applicable)
↗Check programme and admissions
Lab
Faculty of Science, Engineering and Built Environment
Deakin University
Australia
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.