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2 years part-time
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Increase demand on your analytics career
Become an expert analyst
If you’re looking to take your analytics career to the next level, the Master of Analytics will give you the prediction and statistical concepts that enable businesses for future success.
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Data scientists rate job satisfaction very high
Enhance your analytics career
Learn to predict analytical trends
Construct stories with data and collaborate on group projects.
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Learning advice and study assistance
Dedicated support services designed for your study discipline.
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Study that’s flexible
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A new way of doing business
Today’s successful businesses are using data to inform their decision-making. Meet their demands head-on with a Master of Analytics. This comprehensive graduate course is the perfect qualification for navigating an evolving business landscape that is rapidly moving towards analytics-based strategies.
You’ll undertake study in the key areas of analytics, and learn how to apply this knowledge in a range of contexts, from Python and R programming to data modelling. The Master of Analytics is a flexible course that you can tailor to your career needs. Gain the skills required to take the lead in analytics-based decision-making within a broad range of industries, backed by the credentials to positively affect business outcomes and cement your place as an analytics expert.
What you will learn
- Data analysis
Convert raw data into actionable insights.
- Predictive analytics
Discover the story behind the data to inform evidence-based and strategic decision making.
- Python and R programming
Acquire skills in the industry-standard Python programming and R programming languages to conduct rigorous data modelling and visualisation.
Pathways to a master degree
You can graduate with a Master of Analytics in approximately 2 years part-time, after completing 12 units (72 credit points).
You can also exit the course after completing approximately 0.7 years part-time, 4 units (24 credit points), and you’ll receive a Graduate Certificate of Analytics.
0.7 years part-time
- Introduction to data analysis
- Introduction to Python
- Mathematical foundations for data science and AI
one of the following units
- Introduction to accounting analytics
- Predictive analytics in business
1.4 years part-time
- Statistical data modelling
- Collaborative and reproducible practices
- Data visualisation and analytics
5 elective units (four level 4 units and one level 5 unit)
The course is structured into two parts: Part A. Analytics specialisation studies, and Part B. Application studies.
Need further clarification about our online course structure?
You can submit an enquiry directly to our student consultants by using the form listed on our contact us page. You’ll have the opportunity to schedule a call if you’d like to receive further information.
Part A. Foundation units
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.
Introduction to data analysis
Introduction to Python
Mathematical foundations for data science and AI
Part B. Analytics specialisation
The focus of these studies is professional and scholarly work that can contribute to a portfolio of professional development.
Statistical data modelling
Collaborative and reproducible practices
Data visualisation and analytics
Part C. Application studies and electives
You must complete ACO5160, ACO5170 and four elective units from Monash Online programs at level 4 or 5 (at least one must be at level 5)
Introduction to accounting analytics
Predictive analytics in business
Entry level 1: 72 credit points to complete
Duration: Two years part-time
An Australian bachelor’s degree in a relevant discipline* or an equivalent qualification with at least a credit (60%) average or equivalent Grade Point Average (GPA).
An Australian bachelor’s degree or equivalent qualification with at least a credit (60%) average or equivalent Grade Point Average, plus at least two years relevant work experience**.
Entry level 2: 48 credit points to complete
Duration: 1.4 years part-time
Applicants require a Monash University Graduate Certificate of Analytics with at least a credit (60%) average.
*relevant disciplines include: analytics, business statistics, econometrics, mathematics and business.
**Applicants applying on the basis of work experience are required to provide a detailed curriculum vitae, outlining their employment history and professional experience.
For entry into level 1 or 2, applicants must have successfully completed a first year undergraduate statistics units, or provide evidence of qualifications/training or experience that the faculty considers to be equivalent.
Applicants must meet the English language requirements.
University entrance requirements
Minimum entrance requirements to apply for admission to Monash University Australia.
If you need help understanding the above entry requirements, reach out to our student consultants on our contact us page and schedule a booking for a chat.
For the Master of Analytics, the estimated cost is $4,375.00 per unit. You may be eligible to receive a FEE-HELP loan to cover part or all of your tuition. Fees are subject to change annually.
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.
Looking for clarification on fees or scholarships?
Enquire with our student consultants and schedule a call to get your questions answered.
The workplace of the future is an exciting and dynamic place. A Master of Analytics degree is designed to equip you with the necessary skills to succeed in a constantly changing global environment.
What does the future look like for Data Analysts?
In a world where data is king, Data Analysts are some of the most sought-after, emerging professionals.
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Analytics at Monash Online
The Master of Analytics is taught 100 per cent online, offering you the opportunity to gain highly marketable skills without taking time out from your career. Undertake this comprehensive master’s degree designed by leading Monash academics specifically for online students.
Your course material will provide foundation and specialist analytical knowledge, while giving you the flexibility of tailoring your degree to your career needs and interests.
Meet your academic team
Associate Professor Jonathan Matheny
Jonathan Matheny is the Director of Program Development for Leadership and Executive Education. He leads the development of new programs and teaches personal development, leadership and organisational change. He has led academic programs and lectures across North America, Europe and Asia.
There is constant collaboration and support between the online tutors and the students. My online studies have been challenging but enjoyable.
Monash Online Graduate
Frequently Asked Questions
What is the difference between the Master of Analytics and Master of Applied Data Science?
What is the difference between the Master of Analytics and the Learning Analytics course?
Why is statistics required as a pre-requisite for this course?
What kind of maths, programming and software is used in the Master of Analytics?
- Power BI
Studying online, the Monash way
Courses designed for online
Gain a world-class education, delivered through a dynamic virtual classroom and taught by leading academics.
Support seven days a week
You’ll have ongoing access to dedicated support services that have been specifically designed for your discipline.
Equipped for career success
You’ll graduate as an in-demand employee, ready to take the next step in your career.
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- course information
- career pathways
- how online study works
- course fees
- how to apply