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Data Science and Information Technology● OpenMastersPreview

Master of Data Analytics

A career-focused master’s programme in data-driven decision-making for industry and technology sectors.

Best for:Best for graduates with a bachelor’s degree in any discipline seeking to transition into data analytics, or IT professionals aiming to specialize in data-driven solutions.

Melbourne Institute of Technology (MIT) · Melbourne, Australia
More professors at Melbourne Institute of Technology (MIT)
Data EngineeringData MiningData AnalyticsInformation TechnologySoftware EngineeringData-Driven Decision Making
This is a masters position — not a PhD studentship.
Deadline
—
Funding
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Start date
flexible (depends on intake)
Full-time
Location
Melbourne
Australia

Overview

The Master of Data Analytics at Melbourne Institute of Technology (MIT) prepares graduates for careers in a rapidly evolving industry. This coursework-based programme equips students with the technical and analytical skills needed to extract insights from complex datasets. Taught in Melbourne, it caters to both IT professionals and graduates from non-technical disciplines, offering two streams: a cognate stream for IT-related backgrounds and a non-cognate stream for diverse academic fields. The programme emphasizes practical application, ensuring graduates are industry-ready for roles in data engineering, analytics, and technology-driven decision-making.

Data Analytics Master’sCoursework-Based DegreeData Science Career TransitionIndustry-Focused AnalyticsCognate and Non-Cognate StreamsMelbourne Institute of Technology

What you'll do

  • Develop and implement data-driven solutions to address real-world business and technological challenges.
  • Analyze large datasets to extract meaningful insights and inform strategic decision-making.
  • Apply advanced data engineering techniques to design and optimize data pipelines.
  • Collaborate with industry partners to solve practical problems using data analytics tools and methodologies.
  • Develop technical and analytical skills through hands-on projects and coursework.
  • Engage in group-based learning to enhance teamwork and communication skills in a data analytics context.

Requirements

Degree required: Successful completion of an Australian Bachelor degree or equivalent in any discipline.

Language: English proficiency (not explicitly stated but implied for international students).

Instruction: English

Required skills
  • Basic proficiency in information technology or related fields for the cognate stream.
  • Strong analytical and problem-solving skills.
  • Ability to work with large datasets and data analysis tools.
  • Familiarity with programming concepts (e.g., Python, SQL) is advantageous but not mandatory for non-cognate stream.
Nice to have
Prior experience in computer science, software engineering, or related disciplines.Knowledge of data analysis software and tools (e.g., R, Tableau, Hadoop).Experience with data visualization and reporting tools.
Eligibility
  • Successful completion of an Australian Bachelor degree or equivalent.
  • No specific nationality or residency restrictions mentioned.

Funding & terms

Type
Unknown
Amount
—
Duration
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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
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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
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Funding
Not confirmed by the source

How to apply

Deadline: unknown

Applicants must apply through the official MIT portal. The process involves submitting an application form, academic transcripts, and any additional documents required for the chosen stream. For international students, proof of English proficiency may be required.

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.