B6059 Master of Managerial Analytics
Faculty of Business and Economics
Master of Managerial Analytics (B6059) 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 2026 handbook entry. See the 2027 entry.
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Requisite map
Overview
In this online course you will demonstrate skills in the ways data and analytics can support managerial decision making. You will learn key concepts and frameworks that enable the responsible use of data, recognising the unique limits of when and how data should be used to enhance organisational performance. You will also gain skills in the use of modern data analysis tools, such as PowerBI and RStudio, and demonstrate skills in the design of analytics projects. With substantial flexibility in the electives available, the Masters of Managerial Analytics will allow you to direct your learning to meet your professional goals – going deeper to develop more technical analytics skills, going broader to apply analytics across sectors, or going outside analytics to extend your knowledge in complementary disciplines such as project management.
This course is perfect if you are wanting to develop a deep understanding of data-driven decision making. You will be able to direct your studies to meet your professional goals and apply your knowledge to drive purpose-driven change. As a graduate, you will be well positioned to advance your career with a sought-after degree in managerial analytics from a leading global university.
Course structure
Rules
- If you are admitted at entry Level 2 you complete 48 credit points, comprising Part B, and Part C.
Part A. Core studies24 credit points
Part B. Discipline studies12 credit points
Part C. Application studies36 credit points
The handbook's description of this structure
This course is structured in three parts. Part A. Core studies, Part B. Discipline studies and Part C. Application Studies
Part A. Core studies
These are designed to provide you with a foundational knowledge of each subject area.
Part B. Discipline 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 C. 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, Part B and Part C.
- If you are admitted at entry level 2 you complete 48 credit points, comprising Part B, and Part C.
Course progression map
The course progression map provides guidance on unit enrolment for each teaching period.
The course comprises 72 credit points.
Units are 6 credit points unless otherwise stated.
This course is structured in three parts. Part A. Foundation Studies (24 credit points) Part B. Analytics methods (12 credit points) and Part C. Application Studies (36 credit points).
Part A. Core studies (24 credit points)
You must complete the following four units (24 credit points):
- LEO5301 Decision making for managers
- LEO5302 Data and analytics in organisations and society
- LEO5303 Data analytics and insights generation
- LEO5304 Reporting for strategy and change
Part B. Discipline studies (12 credit points)
You must complete any two units (12 credit points) from the following:
- LEO5310 Data exploration, visualisation, and information design
- LEO5311 Quantitative analysis and data modelling
- LEO5312 Data reporting, presentation, and dashboards
Part C. Application studies (36 credit points)
You must complete one of the following units (6 credit points)
- LEO5113 Industry challenge
- LEO5114 Global challenge
and you must complete five units (30 credit points) from across Monash Online programs 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
evaluate effective use of data, data analytics, and analytics platforms as the bases of managerial decision making in organisations.
- 4
critique the emerging role of analytics in the business environment and the unique limits of when and how data should be used to enhance organisational performance.
- 5
design analytics projects, including sourcing data, defining the business context, visualising solutions and identifying relevant tools for analysis.
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
Graduate Certificate of Managerial Analytics (B4014)
More information
Other information
In this online course you will demonstrate skills in the ways data and analytics can support managerial decision making. You will learn key concepts and frameworks that enable the responsible use of data, recognising the unique limits of when and how data should be used to enhance organisational performance. You will also gain skills in the use of modern data analysis tools, such as PowerBI and RStudio, and demonstrate skills in the design of analytics projects. With substantial flexibility in the electives available, the Masters of Managerial Analytics will allow you to direct your learning to meet your professional goals – going deeper to develop more technical analytics skills, going broader to apply analytics across sectors, or going outside analytics to extend your knowledge in complementary disciplines such as project management.
This course is perfect if you are wanting to develop a deep understanding of data-driven decision making. You will be able to direct your studies to meet your professional goals and apply your knowledge to drive purpose-driven change. As a graduate, you will be well positioned to advance your career with a sought-after degree in managerial analytics from a leading global university.
Common questions
Where can I study Master of Managerial Analytics?
At Monash Online.
How do I plan my Master of Managerial 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.