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Requisite map

Overview

In this online Master’s degree you will extend your expertise in analytics and gain critical knowledge and skills required to make informed business decisions using complex data.

You will gain foundational knowledge in python programming and data modelling, while also completing specialist units in accounting analytics, data visualisation and data science. As part of your degree, you will also have the opportunity to undertake online elective units to broaden your professional development or specialise further across a range of areas.

This course is ideal if you are wanting to gain specialised knowledge in analytics or formalise your work experience with a degree from a leading global university. As a graduate, you will have the knowledge and skills to work across multiple sectors and industries and this degree will ensure that you’re ready to work in a rapidly changing business environment.

Course structure

Part A. Analytics specialisation studies48 credit points

You must complete the following units

Part B. Application studies24 credit points

You must complete four units (24 credit points) from Monash Online programs at Level 4 or 5*.

*At least one Part B Application studies unit must be at Level 5.

The handbook's description of this structure

The course comprises 72 credit points structured into two parts: Part A: Analytics specialisation studies and Part B: Application studies.

Part A. Analytics specialisation studies

The focus of these studies is to develop your expertise in analytics and provide the knowledge and skills needed for the capacity to work and communicate this knowledge across the borders of context or discipline.

Part B. Application studies

The focus of these studies is professional and scholarly work that can contribute to a portfolio of professional development.

Master's entry points

Depending on prior qualifications you may receive entry level credit (a form of block credit) which determines your point of entry to the course:

If you are admitted at entry level 1 you complete 72 credit points, comprising Part A and Part B
If you are admitted at entry level 2 you complete 48 credit points, comprising four units from Part A and Part B

Course progression map

The course progression map provides guidance on unit enrolment for each semester of study.

This course is structured in two parts Part A: Analytics specialisation studies (48 credit points), Part B: Application studies (24 credit points).

Units are 6 points unless otherwise stated.

Part A. Analytics specialisation studies (48 credit points)

You must complete the following eight units (48 credit points)

ACO5160 Introduction to accounting analytics
ACO5170 Predictive analytics in business
ETO5510 Introduction to data analysis
ETO5513 Collaborative and reproducible practices
ETO5922 Data visualisation and analytics
ITO4133 Introduction to Python
ITO5197 Statistical data modelling
MAT9004 Mathematical foundations for data science and AI

Part B. Application studies (24 credit points)

You must complete four units (24 credit points) from Monash Online programs at level 4 or 5.*

*at least one Part B Application studies unit must be at level 5.

Learning outcomes

These course outcomes are aligned with the Australian Qualifications Framework and Monash Graduate Attributes.

Upon successful completion of this course it is expected that you will be able to:

1
be critical and creative scholars who:
- produce innovation solutions to problems
- apply research skills to business challenges
- communicate effectively and perceptively
2
be responsible and effective global citizens who:
- engage in an internationalised world
- exhibit cross-cultural competence
- demonstrate ethical values
3
apply the core principles and approaches to data analytics in a business context
4
understand the breadth of tools an analyst will draw on, and demonstrate deep insight into the work of an analyst in a particular area of application.

Entry requirements

English language

Monash Level A, that is: IELTS (Academic): 6.5 overall (no band lower than 6.0); or Pearson Test of English (Academic): score of 58 overall with no band lower than 50; or TOEFL Internet-based test: score of 79 overall with minimum scores: Writing: 21, Listening: 12, Reading: 13 and Speaking: 18; or Equivalent approved English test

Pathways

B4008 Graduate Certificate of Analytics

More information

Other information

In this online Master’s degree you will extend your expertise in analytics and gain critical knowledge and skills required to make informed business decisions using complex data.

You will gain foundational knowledge in python programming and data modelling, while also completing specialist units in accounting analytics, data visualisation and data science. As part of your degree, you will also have the opportunity to undertake online elective units to broaden your professional development or specialise further across a range of areas.

This course is ideal if you are wanting to gain specialised knowledge in analytics or formalise your work experience with a degree from a leading global university. As a graduate, you will have the knowledge and skills to work across multiple sectors and industries and this degree will ensure that you’re ready to work in a rapidly changing business environment.

Common questions

Where can I study Master of Analytics?

At Monash Online.

How do I plan my Master of Analytics units?

Open the course in the MonMap planner. It lays out your semesters, checks prerequisites as you drag units in, and tracks the credit points each requirement still needs.

Course details

Qualification: Master's Degree (Coursework)
AQF level: Level 9
Credit points: 72
Part time: 2 Years
Maximum time: 5 years

Faculty: Faculty of Business and Economics
Abbreviation: MAt
Award title: Master of Analytics
Handbook years: 2021 2022 202320242025 2026 2027