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Master of Business Analytics

A master’s programme equipping professionals to extract actionable insights from complex data for strategic business decision-making.

Best for:Best for professionals or graduates with a quantitative background seeking to specialize in data-driven decision-making and business strategy.

The University of Western Australia (UWA) · Perth, Australia
More professors at The University of Western Australia (UWA)
Data integrationBusiness intelligenceData-driven decision-makingCustomer analyticsProcess optimizationStrategic business insights
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
unknown
Full-time
Location
Perth
Australia

Overview

The Master of Business Analytics at The University of Western Australia prepares students to harness large datasets—both structured and unstructured—to drive business success. This programme emphasizes integrating diverse data streams, transforming insights into strategic actions, and addressing real-world challenges like customer demand analysis and process optimization. Ideal for graduates with quantitative backgrounds or professionals seeking to transition into data-driven leadership roles, the curriculum bridges theory and practice to meet the demands of today’s data-centric industries. Students gain hands-on experience in collating, analyzing, and interpreting data to inform critical business decisions. The programme is designed for those aiming to become data-savvy leaders capable of leveraging analytics for competitive advantage.

Business analyticsData scienceQuantitative analysisData-driven leadershipBusiness strategyData integration techniques

What you'll do

  • Develop advanced skills in integrating and analyzing large, complex datasets to derive meaningful business insights.
  • Apply data analytics techniques to inform strategic business decisions and enhance competitive advantage.
  • Collaborate with industry partners to address real-world business challenges using data-driven methodologies.
  • Learn to fuse multiple data streams to understand business processes, customer demands, and market dynamics.
  • Develop proficiency in tools and techniques for transforming raw data into actionable business strategies.
  • Engage in hands-on projects that simulate real-world business scenarios and data challenges.

Requirements

Degree required: A Bachelor’s degree or equivalent qualification with at least one unit in statistics or a substantive quantitative component, recognized by UWA.

Language: English proficiency (not explicitly stated but implied for academic programme).

Instruction: English

Required skills
  • Proven quantitative or statistical background, as evidenced by coursework or professional experience.
  • Ability to analyze and interpret complex datasets.
  • Experience with data integration and fusion techniques.
  • Strong problem-solving and critical-thinking skills applicable to business contexts.
Nice to have
Proficiency in data analysis software or tools (e.g., R, Python, SQL).Prior experience in a business or analytical role.Familiarity with data visualization and reporting tools.
Eligibility
  • Equivalent of a UWA weighted average mark of at least 50 percent, OR
  • At least two years of professional experience in a relevant occupation, OR
  • Completion of a Graduate Certificate in Business Analytics at UWA.

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
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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

Deadline: unknown

Applicants must submit their application through the official UWA portal. Required documents typically include academic transcripts, proof of English proficiency (if applicable), a personal statement, and any additional materials specified by the university.

Documents required
  • Academic transcripts
  • Proof of English proficiency (if required)
  • Personal statement or statement of purpose
  • Curriculum Vitae (CV)
  • Proof of relevant professional experience (if applicable)
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.