B6028 Master of Analytics
Faculty of Business and Economics
Master of Analytics (B6028) is a 72-credit-point, master's degree (coursework) course from the Faculty of Business and Economics, taught at Monash Online. Map your units semester by semester with the MonMap planner.
- Credit points
- 72
- Campus
- Monash Online
- Online
This is the 2025 handbook entry. See the 2027 entry.
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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 methods24 credit points
Part B. Advanced analytics24 credit points
Part C. Application studies24 credit points
Note: At least one Part C 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 methods, Part B: Advanced studies, and Part C. Application studies.
Part A. Analytics methods
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. Advanced analytics
The focus of these studies is to leverage your expertise in analytics and extend your skills in the use of sophisticated analytical techniques and tools for deriving insights and business solutions.
Part C. Application studies
The focus of these studies is to build upon your expertise in analytics with electives that meet your unique professional interest. You can choose electives that 1) extend your technical expertise in analysis and programming, 2) apply your analytics expertise to a particular sector, or 3) pair your analytics expertise with study in a complementary discipline.
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, Part B and Part C
- If you are admitted at entry level 2 you complete 48 credit points, comprising four units from Part B and Part C
Course progression map
The course progression map provides guidance on unit enrolment for each semester of study.
This course is structured in three parts Part A: Analytics methods (24 credit points), Part B: Advanced analytics (24 credit points) Part C: Application studies (24 credit points).
Units are 6 points unless otherwise stated.
Part A. Analytics methods (24 credit points)
You must complete the following four units (24 credit points)
- LEO5310 Data exploration, visualisation, and information design
- LEO5311 Quantitative analysis and data modelling
- LEO5312 Data reporting, presentation, and dashboards
- LEO5104 Enterprise analytics
Part B. Advanced analytics (24 credit points)
You must complete the following four units (24 credit points)
- ETO5513 Collaborative and reproducible practices
- ITO4133 Introduction to Python
- LEO5314 Machine learning and data analytics
- ACO5170 Predictive analytics in business
Part C. Application studies (24 credit points)
You must complete four units (24 credit points) from Monash Online programs at Level 4 or 5*.
Note : at least one Part C 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.