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Data Science and Analytics● OpenMastersPreview

Master of Data Analytics

Master advanced data analytics skills to drive innovation and solve complex business challenges.

Best for:Best for graduates seeking to enter the high-demand field of data analytics with comprehensive technical training.

Melbourne Institute of Technology Pty Ltd · Sydney, Australia · R1 · First-stage researcher
More professors at Melbourne Institute of Technology Pty Ltd
Big DataData AnalyticsBusiness IntelligenceStructured and Unstructured DataData Innovation
This is a masters position — not a PhD studentship.
Deadline
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Location
Sydney
Australia

Overview

The Master of Data Analytics at Melbourne Institute of Technology equips students with advanced capabilities to analyze massive structured and unstructured datasets. Delivered in Sydney, the curriculum is designed to prepare professionals for high-demand roles across various sectors such as finance, technology, and business. Students learn to extract actionable insights, foster innovation, and develop disruptive solutions for modern organizations. The programme caters to both IT cognate applicants and those transitioning from non-IT backgrounds.

Master of Data AnalyticsMDAMelbourne Institute of TechnologyData AnalysisInformation TechnologyGraduate Study

What you'll do

  • Analyze massive volumes of structured and unstructured data to extract meaningful patterns
  • Develop data-driven insights to support business innovation and strategic decision-making
  • Design disruptive technological solutions for various industry sectors
  • Engage in coursework and practical projects covering modern data analytics frameworks

Requirements

Degree required: Bachelor degree or equivalent in Information Technology, computer science, software engineering, networking, or any other discipline for the non-cognate stream

Degree offered: Master Degree

Language: English proficiency as required by standard institutional admission guidelines

Instruction: English

Required skills
  • Foundational academic background from an accredited bachelor degree programme
  • Analytical aptitude for handling complex datasets
  • Willingness to learn programming and statistical tools relevant to data analytics
Nice to have
Prior academic or professional experience in information technology or related disciplinesBasic programming or database management experience
Eligibility
  • Hold an Australian bachelor degree or equivalent in a cognate or non-cognate discipline

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

Interested applicants can submit their application directly through the official MIT course portal by following the online instructions and providing all necessary academic transcripts and credentials.

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