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Business Analytics and Data Science● OpenMastersPreview

Master of Business Analytics

A data-driven master’s programme equipping graduates with advanced analytics skills for real-world business decision-making.

Best for:Best for professionals with a background in statistics, econometrics, or related fields seeking to specialize in business analytics, or those with two years of relevant work experience looking to transition into data-driven roles.

Macquarie University · Sydney, Australia
More professors at Macquarie University
Data modellingStatistical analysisMachine learning techniquesBig data applicationsEthical reasoning in analyticsCollaborative problem-solving
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
flexible (depends on intake)
Full-time
Location
Sydney
Australia

Overview

The Master of Business Analytics at Macquarie University is designed to prepare students for high-demand roles in business intelligence and data-driven decision-making. This programme blends computer programming, database management, applied statistics, and machine learning to address big data challenges. Students will develop expertise in ethical reasoning, collaborative problem-solving, and the practical application of analytics tools. The curriculum emphasizes hands-on experience, ensuring graduates can contribute effectively to diverse teams and drive innovation in corporate environments.

Business AnalyticsData ScienceMachine LearningApplied StatisticsBig DataBusiness IntelligenceData-Driven Decision MakingProgramming for Analytics

What you'll do

  • Develop expertise in data modelling and statistical analysis to solve real-world business problems.
  • Apply machine learning techniques to big data for predictive and prescriptive analytics.
  • Learn to program and manage databases to extract meaningful business insights.
  • Develop ethical reasoning skills to address challenges in analytics-related problem-solving.
  • Collaborate effectively with diverse teams to achieve business objectives in varied contexts.
  • Engage in hands-on projects that simulate real-world business scenarios and challenges.

Requirements

Degree required: A Bachelor’s degree (AQF Level 7) in a related field such as statistics, econometrics, computer science, or equivalent, OR a Bachelor’s degree (AQF Level 7) in any field with two years of full-time equivalent relevant work experience, professional certification, or recognized prior learning.

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

Instruction: English

Required skills
  • Proficiency in statistics and/or econometrics
  • Basic knowledge of computer programming
  • Ability to analyze and interpret data
  • Understanding of databases and data management
  • Problem-solving and critical thinking skills
Nice to have
Experience with machine learning tools and techniquesFamiliarity with big data platformsPrior work experience in a business or analytics environment
Eligibility
  • Australian Bachelor’s degree (AQF Level 7) or equivalent international qualification
  • Two years of full-time equivalent relevant work experience, professional certification, or recognized prior learning for applicants without a related Bachelor’s degree
  • No specific nationality or residency restrictions mentioned

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
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: unknown

Applicants must apply directly through the Macquarie University website. The application process typically involves submitting academic transcripts, a personal statement, and proof of English proficiency if applicable. Additional documents may be required based on eligibility criteria.

Documents required
  • Academic transcripts (Bachelor’s degree)
  • Personal statement or research proposal (if applicable)
  • Proof of English proficiency (if not from an English-speaking country)
  • CV or resume
  • Proof of relevant work experience or professional certification (if applicable)
↗Check programme and admissions

Contact

Lab
Macquarie Business School
Macquarie University
Australia
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.