Macquarie University

Master of Business Analytics

  • Delivery: Face to Face
  • Study Level: Postgraduate
  • Duration: 24 months
  • Course Type: Master's

Turn complex data into business impact through hands-on training in Python, SQL, Tableau and Excel, with no previous coding experience required and accreditation from the Australian Computer Society.

Course overview

Macquarie University’s Master of Business Analytics prepares you to turn complex information into insights that support better organisational decisions. Designed for graduates from both quantitative and non-quantitative backgrounds, the course develops technical analytics capabilities alongside an understanding of business operations, strategy and change – with no previous coding experience required.

You will gain hands-on experience with Python, SQL, Tableau and Excel while exploring predictive analytics, data visualisation, artificial intelligence, big data, cybersecurity, information systems and data governance. A Business Analytics Project allows you to apply your learning to a practical challenge, while elective options include a supervised internship, FinTech, blockchain, advanced data visualisation and digital innovation.

Delivered in person at Macquarie University’s North Ryde campus, the course can be completed in two years of full-time study or the part-time equivalent. Applicants with relevant previous study or professional experience may qualify for the 1.5-year pathway. Accredited at the Professional Level by the Australian Computer Society, the degree can prepare you for analytics roles across finance, technology, consulting, government, healthcare, marketing and other data-driven sectors.

Key facts

Delivery
Face to Face
Course Type
Master's
Duration
More Information
Can be studied part time
24 months (Full time)
Price Per Unit
From $4,575
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The estimated fee is determined by individual units of study and the year the course was commenced.
Campus
Macquarie North Ryde
Intake
22nd February, 2027
26th July, 2027
Units
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You may be required to complete 0 credit point units throughout your course. The university will confirm this as part of your enrolment.

The unit total reflects the number of units required for course completion, not the total credit point weight. Some units may be double- or triple-weighted, so the number of units you complete may be lower.
16
Fees
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FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.
FEE-HELP

What you will study

To earn the Master of Business Analytics, you must successfully complete units totalling 160 credit points, as detailed below. Unless otherwise noted, each course is worth 10 credit points.

The course structure below is based on the two-year, 160-credit-point entry pathway.

Foundation units

Complete the following foundation units:

  • Introduction to Inference, Modelling and Forecasting
  • Business Applications of Artificial Intelligence
  • Foundations of Computer Programming
  • Data Science

Core units

Complete the following core units:

  • Techniques in Business Analytics
  • Applied Predictive Analytics
  • Management of Data, Analytics and Change
  • Business Analytics Project
  • Data and Visualisation for Business
  • Project Management
  • Applied Business Information Systems
  • Business Ethics and Sustainability
  • Cyber Security, Governance Frameworks and Ethics
  • Big Data

Elective units

Select 20 credit points from the following:

  • FinTech and Innovation
  • Payments, Cryptocurrencies and Blockchain
  • Advanced Methods in Data Visualisation
  • Economics for Professionals
  • Policy Analysis and Design Project
  • Contemporary Business Issues
  • Business Internship
  • Digital Innovation

The Business Internship is an elective option and is not a compulsory component of the course.

Entry requirements

Academic requirements

The admission requirements depend on the course pathway.

Two years full-time (or equivalent part-time) 

To be eligible for this pathway, applicants must:

  • Hold a bachelor’s degree or equivalent.

1.5 years full-time (or equivalent part-time)

To be eligible for this pathway, applicants must meet at least one of the following requirements:

  • Hold a bachelor’s degree in a related field or equivalent.
  • Hold a bachelor’s degree or equivalent and have at least two years of relevant full-time professional experience, professional certification or other recognised prior learning.

Related fields include actuarial studies, banking, computer science, data science, econometrics, economics, finance, insurance, mathematics and statistics.

Relevant professional experience may include working as a Business Analyst, conducting research involving quantitative data, working in market research or working as a Statistician or in a related field.

Supporting documents

Applicants seeking admission based on professional experience must provide:

  • A current résumé.
  • A workplace reference letter confirming their relevant experience.

English language requirements

Applicants must provide evidence of at least one of the following:

  • A bachelor’s degree completed in a recognised English-speaking country.
  • An IELTS overall score of 6.5, with no individual band score below 6.0, or an accepted equivalent.
  • Other accepted evidence of English language proficiency.

Contact the university for further information.

Recognition of Prior Learning

You may be eligible for recognition of prior learning if you have previously studied or have relevant work experience. This will help reduce the number of units you need to study to finish your course. Contact the university for more information.

Outcomes

Career outcomes

Graduates may pursue careers in roles such as:

  • Business Development Manager
  • Business Intelligence Analyst
  • Business or Venture Analyst
  • Consumer Insights Specialist
  • Data Analyst
  • Data Scientist
  • Data Visualisation Analyst
  • Digital Marketing Analyst
  • Financial Adviser or Analyst
  • Information Technology Analyst
  • Insurance Analyst
  • Investment Analyst
  • Market Analyst
  • Operations Analyst
  • Population Analyst
  • Pricing Analyst
  • Product Analyst
  • Risk Analyst
  • Statistical Analyst
  • Supply Chain Analyst

Fees and FEE-HELP

Indicative annual fee in 2027: $36,600 (Full-fee paying place)

Indicative annual fees are based on your first year of study.

A student’s annual fee may vary by:

  • The number of units studied.
  • Choice of units.
  • Credit from previous study or work experience.
  • Eligibility for government-funded loans.

Student fees shown are subject to change. Contact the university directly to confirm.

FEE-HELP loans are available to assist eligible full-fee-paying domestic students with the cost of a university course.