Business Analytics - B6022

Business Analytics

Master degree

Arm yourself with computational statistical tools in the face of uncertainty with a Master of Business Analytics.

By doing a Master of Business Analytics you’ll develop the skills to use data to better understand the world around you, opening doors to new exciting job prospects. In this degree, you will learn cutting-edge techniques, and rigorous foundations in statistical thinking, probabilistic modeling and computational techniques.

This degree will prepare you for a career as a statistician or data scientist, and your skill set will be relevant across all industries, giving you the freedom to join an area that inspires you. This is also an area of rapidly increasing demand across the corporate, government and non-profit sectors within Australia and internationally.

Our teaching staff have strong connections with industry and have worked with a number of major organisations. A small sample of these include: Facebook, Tennis Australia, Amazon,, AGL Energy, ABS - just to name a few.

At a glance

Course Details

  • On-campus at Clayton: Full time & part time
1.5 or 2 years full-time depending on prior qualifications. See entry requirements.
Start date
First semester (February)
Master of Business Analytics
Alternative exits
Course Handbook

This course is suitable for those with an undergraduate degree in quantitative disciplines including mathematics, statistics, computer science or engineering. The content is student-centred, inclusive, accessible and students will be expected to operate as a connected cohort of like-minded people ready to build a better society.

Our academics are world experts in the field of data-driven decision making, with active and globally connected research programs. Many of the methods and software developed by our researchers are widely used in businesses and government departments today.

As part of a small and elite program, you will also work closely with our academics, resulting in more personalised assistance with your career development.

"Being able to harness the power of data is hugely important in this day and age. Problem-solvers all around the world, in all kinds of disciplines, are using this information." - Jeremy Forbes (Master of Business Analytics)

"We must give statistics students the skills to dive into the data ocean. The academics I work with at Monash follow this principle, guiding their students to take wild-caught data through the full process of analysis and effective communication of findings." - Hadley Wickham (Chief Scientist, RStudio).

Entry Requirements

You need to satisfy the following entrance requirements to be considered for entry to this course.

Minimum Entry Requirements (Domestic students)


Depending on prior qualifications:

Entry level 1: 
Duration: 2 years full time, 4 years part time (96 points)

An Australian bachelor degree (or equivalent) with a Weighted Average Mark (WAM) of at least 65, or an equivalent GPA as approved by the faculty.

Entry level 2:
Duration: 1.5 years full time, 3 years part time (72 points)

An Australian bachelor degree (or equivalent) in a cognate discipline with a Weighted Average Mark (WAM) of 65, or an equivalent GPA as approved by the faculty.

English requirements

Applicants must also meet the English language requirements.

University entrance requirements

Minimum entrance requirements for admission to Monash University Australia.

Extra Requirements

Applicants must have successfully completed a first year undergraduate statistics unit, or provide evidence of qualifications/training or experience that the faculty considers to be a satisfactory substitute.

Applicants must prepare a Candidate Statement in which they are required to demonstrate that they possess the motivation and academic skills required to successfully complete the program.

If you have not completed a statistics unit in your previous study, successful completion of 'data driven decision making microcredential' will meet this requirement.

The course is structured in three parts: Part A. Advanced preparatory, Part B. Mastery knowledge and Part C. Application studies.

Making the application

Future students

Semester one (February)

Apply directly to Monash using course code B6022


2023 Intake:

The Master of Business Analytics has one intake per year. The course commences in Semester 1 each year. To ensure your experience is personalised and immersive there is a limited number of places. To secure your place for 2023, accept your offer as soon as you can.

  • Round 1 applications close 30 July 2022 - offer acceptance by 30 August 2022
  • Round 2 applications close 30 September 2022 - offer acceptance by 30 October 2022
  • Current Monash students

    You may apply to transfer from another Monash course. Transfers are a competitive process. You may apply mid-year for available courses however consideration will be given as to whether you will be able to follow your course progression.

    Please note that if you apply for a course transfer, you should still enrol in your current course as if you were continuing so as not to jeopardise your enrolment in the Faculty if your transfer application is unsuccessful. More about Course Transfer...

    Considering applying for credit for the Master of Business Analytics? Visit our webpage for a list of topics.

    Self assess for credit eligibility

    Check for study credit using the "Credit search" link on the Credit for prior study page


    Fees are subject to change annually.

    Full fee

    Fees are per 48 credit points which represents a standard full-time course load for a year.


    Fee assistance

    As a full fee-paying student, you may be eligible to apply for the optional FEE-HELP to assist you to pay all or part of your tuition fees.


    We offer over 360 types of scholarships, valued at up to $280,000. Some scholarships offer one-off payments while others continue for the length of your course. Learn more about Monash Scholarships.

    Other costs and fees

    For information on other study costs and fees, see other study costs.