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Data Science and Information Technology● OpenMastersPreview

Master of Data Science

A hands-on master’s programme for professionals and graduates to master data-driven problem-solving across industries.

Best for:Best for professionals and graduates seeking to specialise in data science, regardless of prior technical background, with a focus on practical, project-driven learning.

Charles Darwin University (CDU) · Darwin, Australia
More professors at Charles Darwin University (CDU)
Data analysisData-driven decision makingBig data applicationsData visualizationMachine learning fundamentalsData ethics and governance
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
flexible (depends on intake)
Full-time
Location
Darwin
Australia

Overview

The Master of Data Science at Charles Darwin University is designed to equip students with advanced technical and analytical skills to extract meaningful insights from large datasets. This programme welcomes applicants from diverse academic backgrounds, including data science, IT, information systems, or related fields. Through project-based assessments, students explore real-world applications of data science and develop expertise tailored to their interests. The curriculum balances theoretical foundations with practical experience, ensuring graduates are industry-ready to tackle complex data challenges.

Data ScienceData AnalyticsInformation TechnologyProject-based learningData-driven problem-solvingTechnical and analytical skillsReal-world applicationsData interpretation

What you'll do

  • Develop technical and analytical skills to manage and interpret large datasets.
  • Engage in project-based assessments to apply data science solutions to real-world problems.
  • Explore diverse applications of data science across various industries.
  • Collaborate on interdisciplinary projects to focus on individual passions and interests.
  • Learn about data ethics, governance, and responsible data handling practices.

Requirements

Degree required: A recognized bachelor’s degree or equivalent international qualification in any field.

Language: English proficiency (level not specified in source).

Instruction: English

Required skills
  • Basic proficiency in data analysis or related technical fields (preferred but not mandatory).
  • Ability to work independently and collaboratively on project-based tasks.
Nice to have
Prior exposure to data science, information technology, or related disciplines.Familiarity with programming languages or tools commonly used in data analysis.
Eligibility
  • Open to international students with recognized qualifications.
  • No specific nationality or residency restrictions mentioned.

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

Deadline: unknown

Applicants must apply directly through the Charles Darwin University portal. The process involves submitting an application form, academic transcripts, and any additional documents required by CDU. No specific deadline is mentioned, but applicants should check the university’s official website for intake periods.

Documents required
  • CV or resume
  • Academic transcripts (bachelor’s degree)
  • Proof of English proficiency (if applicable)
  • Application form
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.