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Macquarie University

Master of Business Analytics

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

Gain practical experience with industry-standard tools like Python, SQL, Tableau and Excel; no prior coding experience is necessary.

Course overview

Measuring performance is big business. Today, most of the world’s major companies utilise business analytics to gain valuable business insights and gain a competitive edge. Using data modelling and statistical analysis, business analytics enables companies to measure their past performance, improve efficiency, increase profits, innovate and make informed decisions that drive them forward.

The Master of Business Analytics, which uniquely bridges the gap between business and technology, will prepare you to meet growing industry demand for professionals fluent in both domains. Designed in collaboration with an industry advisory board whose members include Microsoft, Westpac, Billigence and ING – and taught by a multidisciplinary team that includes experienced industry professionals, leading academics and renowned researchers – the degree will provide you with a rich learning experience grounded in current industry practices and emerging technologies. Having developed the skills to deliver technical solutions that solve real business problems, you’ll be well placed to succeed in both traditional analytics roles and fast-growing areas like AI and machine learning.

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 $4,400
More Information
The estimated per units fees are calculated based on the annual average first year fee.
Campus
Sydney City
Intake
23rd February, 2026
27th July, 2026
Units
16
Fees
More Information
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 complete the Master of Business Analytics, you must earn 160 credit points. Each unit is valued at 10 credit points.

Foundation zone

Essential units (40 credit points)

Complete the following:

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

Entry requirements

Academic requirements

You can complete your degree in less time depending on your qualifications, work experience or other recognised prior learning. Applicants can qualify for entry to this degree by fulfilling the admission points below:

2-year program - Foundation zone, Core zone (160 Credit points)

  • An AQF level 7 bachelor's qualification or recognised equivalent.

1.5-year program - Core zone, Flexible zone (120 Credit points)

You must have one of the following:

  • An AQF level 7 bachelor's qualification in a related field or recognised equivalent.
  • An AQF level 7 bachelor's qualification or recognised equivalent and two years (full-time equivalent) of relevant work experience, professional certification or other recognised prior learning.

English language requirements

When applying to study at Macquarie University, you must provide evidence of proficiency in English.

The required standard of English for this degree is outlined as follows: IELTS - Writing 6.0, Speaking 6.0, Reading 6.0, Listening 6.0 and an overall score of 6.5.

You may satisfy the English language requirements by having one of the following:

  • An approved English language test at the required level.
  • A qualification from an approved country with English as the language of instruction.

Please contact the university for complete details.

Recognition of Prior Learning

With recognition of prior learning (RPL), you could get credit for your prior study and experience, reducing the duration of your studies. Credit is awarded for formal and informal or non-formal learning. You’ll need to apply for RPL once you receive your offer to study at Macquarie.

Contact the university for more information.

Outcomes

Career outcomes

Graduates may pursue careers in roles such as:

  • Business Development Manager
  • Consumer Analyst
  • Data Analyst
  • Data Visualisation Analyst
  • Financial adviser or Analyst
  • Human Resources Professional
  • Information Technology Analyst
  • Management Consultant
  • Market Analyst
  • Public Sector Adviser

Fees and FEE-HELP

Estimated annual fee in 2026: $35,200 (domestic full-fee paying place).

The estimated fee displayed is based on a standard full-time study load. Fees may increase each year. For courses longer than one year in duration, you'll pay the fee that is current for the year that you enrol.

A student’s annual fee may vary in accordance with:

  • The number of units studied per term.
  • The choice of major or specialisation.
  • 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.