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Data Science● OpenMastersPreview

Master of Data Science

Develop advanced skills in data pipelines, machine learning, and strategic leadership for the big data era.

Best for:Best for graduates seeking to transition into advanced data science roles with a focus on industry application and strategic leadership.

Adelaide University · Adelaide City Campus, Australia · R1 · First-stage researcher
More professors at Adelaide University
Data EngineeringMachine LearningArtificial IntelligenceStatistical AnalysisBig DataBusiness Analytics
This is a masters position — not a PhD studentship.
Deadline
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Funding
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Start date
unknown
Location
Adelaide City Campus
Australia

Overview

The Master of Data Science at Adelaide University provides comprehensive training in the entire data science lifecycle, from initial collection to advanced analysis and evaluation. Students gain expertise in statistical, computational, and machine learning techniques, with the option to specialize in artificial intelligence. The curriculum emphasizes real-world application, culminating in a final-year industry project that allows students to solve practical problems in professional environments. Graduates are prepared for strategic leadership roles and are equipped to drive data-informed decision-making across diverse business sectors.

Data ScienceData PipelineMachine LearningArtificial IntelligenceBig DataIndustry ProjectStrategic Leadership

What you'll do

  • Master the end-to-end data science pipeline including collection, processing, and evaluation.
  • Develop proficiency in statistical and computational modeling techniques.
  • Apply machine learning algorithms to solve complex business problems.
  • Engage in a hands-on industry project to gain practical experience in real-world data practices.
  • Cultivate strategic leadership skills to manage data-driven initiatives within organizations.

Requirements

Degree required: Bachelor (AQF level 7) or Bachelor Honours (AQF level 8) degree or equivalent.

Degree offered: Master of Data Science

Language: English proficiency required for international students.

Instruction: English

Required skills
  • Foundational knowledge in mathematics or computing.
  • Academic background suitable for graduate-level coursework.
  • Ability to engage with complex data sets and analytical frameworks.
Nice to have
Prior experience in programming or statistical software.Interest in artificial intelligence applications.Professional experience in a data-related field.
Eligibility
  • Must hold a recognized Bachelor or Bachelor Honours degree.
  • Must hold a nested or related graduate certificate (AQF level 8) or higher if applicable.

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
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Teaching language
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Taught / research mode
Not confirmed by the source
Study mode
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Campus
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Prerequisites
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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 university degree page to review specific entry requirements and submission procedures. Applications are processed through the university's central admissions portal.

Documents required
  • Academic transcripts
  • Proof of degree completion
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.