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Data Science● OpenMastersPreview

Master of Data Science

A comprehensive, cross-disciplinary Master's programme combining advanced technical data science skills with industry-focused practical experience.

Best for:Best for students with a background in mathematics, statistics, or computer science seeking a career in data-intensive industries.

The University of Queensland · St Lucia, Australia · R1 · First-stage researcher
More professors at The University of Queensland
Big Data AnalyticsStatistical ModelingComputational MathematicsData EthicsInformation Systems
This is a masters position — not a PhD studentship.
Deadline
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Funding
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Location
St Lucia
Australia

Overview

The Master of Data Science at The University of Queensland is a comprehensive programme designed to equip students with high-level analytical and technical expertise. Students engage with advanced topics in computing, statistics, and mathematics while having the flexibility to choose electives from business, finance, health, or science. The curriculum emphasizes the ethical and legal use of data, effective communication, and decision-making in data-intensive environments. In the final year, students apply their knowledge through industry-relevant projects, ensuring a strong bridge between academic theory and professional practice.

Data ScienceBig DataStatisticsComputingIndustry ProjectsData Ethics

What you'll do

  • Complete advanced coursework in computing, statistics, and mathematics.
  • Select and complete elective courses from business, finance, health, or science disciplines.
  • Develop proficiency in using relevant big data tools and technologies.
  • Analyze legal and ethical considerations regarding data usage.
  • Execute industry-relevant projects during the final year of the programme.

Requirements

Degree required: Bachelor's degree or equivalent in a relevant discipline.

Degree offered: Master of Data Science

Language: English proficiency required for international students.

Instruction: English

Required skills
  • Foundational knowledge in mathematics
  • Foundational knowledge in statistics or probability
  • Foundational knowledge in computer science
Eligibility
  • Bachelor's degree in a relevant discipline for the 2-year programme.
  • Bachelor's degree with specific coursework in mathematics, statistics, and computer science for the 1.5-year programme.
  • Successful completion of 3 years of study towards an approved qualification at an overseas partner institution with a formal pathway.

Funding & terms

Type
Unknown
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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
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Study mode
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Campus
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Prerequisites
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Application instructions
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Tuition
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Funding
Not confirmed by the source

How to apply

Interested applicants should visit the official university programme 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 English proficiency
↗Check programme and admissions
Lab
Faculty of Engineering, Architecture and Information Technology
The University of Queensland
Australia
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.