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Data Science● OpenMastersPreview

Master of Data Science

Develop advanced analytical and technical skills in data science to guide strategic decision-making and business research.

Best for:Best for quantitative professionals with a background in programming and statistics looking to specialize in data science.

University of Sydney · Camperdown/Darlington, Australia
More professors at University of Sydney
data miningmachine learningdata visualisationstatisticscomputer programming
This is a masters position — not a PhD studentship.
Deadline
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Location
Camperdown/Darlington
Australia

Overview

The Master of Data Science at the University of Sydney is designed for professionals with a strong mathematical or quantitative background who want to extract actionable insights from data. Students explore core areas such as data mining, machine learning, and data visualisation while learning to communicate findings effectively to key stakeholders. The curriculum blends rigorous technical training with strategic problem-solving to prepare graduates for leadership roles in business and research. The program is offered as coursework by the University of Sydney in Camperdown and Darlington, Australia.

Master of Data ScienceUniversity of Sydneydata analyticsmachine learningbusiness decision makingpostgraduate coursework

What you'll do

  • Complete core units in data science covering foundational analytical and technical methods
  • Explore advanced topics including data mining, machine learning, and data visualisation
  • Participate in specialist elective units tailored to data science applications
  • Analyze complex datasets to derive meaningful knowledge for business decision making and research
  • Communicate data insights and technical findings effectively to stakeholders

Requirements

Degree required: Three-year Australian bachelor's degree in a cognate discipline, or equivalent qualification

Degree offered: Master Degree (By Coursework)

Language: English

Instruction: English

Required skills
  • Background in computer programming
  • Background in statistics
  • Minimum credit average (65 percent) in prior qualifying degree or coursework
Nice to have
Strong mathematical or quantitative backgroundPrior academic or professional experience in data-driven environments
Eligibility
  • Must hold a three-year Australian bachelor's degree in a cognate discipline with a minimum credit average (65 percent) or an equivalent qualification, OR complete 24 credit points of the University of Sydney Graduate Diploma in Data Science or Graduate Certificate in Data Science with a minimum credit average (65 percent)

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
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Duration
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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
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How to apply

Review the admission requirements and ensure you meet the academic background criteria in computer programming and statistics. Submit your application directly through the University of Sydney course portal using the provided application link.

Documents required
  • Academic transcripts
  • Proof of degree completion
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