Master of Analytics
20-24 hours per week
Jan, Mar, May, Jul, Aug, Oct
Develop a comprehensive analytical toolkit with the technical know-how to shape modern business decision-making.
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 econometrics, to Python programming and 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 programming
Acquire skills in the industry-standard Python programming language, to conduct rigorous data modelling and visualisation.
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: 8 Units (48 Credit points)
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: 4 units (24 credit points)
The focus of these studies is professional and scholarly work that can contribute to a portfolio of professional development.
For entry into level 1 or 2, 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 equivalent.
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 a Weighted Average Mark (WAM) of 60 or equivalent Grade Point Average (GPA).
An Australian bachelor’s degree or equivalent qualification with a Weighted Average Mark (WAM) of 60 or equivalent Grade Point Average, plus at least two years relevant work experience.
*relevant disciplines include: accounting, business statistics, econometrics, mathematics and business.
Entry level 2: 48 credit points to complete
Duration: 1.4 years part-time
Applicants require a Monash University Graduate Certificate of Analytics with a Weighted Average Mark (WAM) of 60.
Applicants must meet the English language requirements.
University entrance requirements
Minimum entrance requirements to apply for admission to Monash University Australia.
For the Master of Analytics, the estimated cost is $3775.00 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.
Analytics at Monash Online
The Master of Analytics is taught 100 per cent online, offering you to 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
Dr Nick Tierny
Nick Tierny’s research focuses on improving and understanding data analysis. His primary research interests are exploratory data analysis, statistical modelling, diagnostics, and understanding how colour choice can impact decision-making. He holds an honours degree in Psychological Science and a PhD in Statistics.
Peter Liu is an IT professional with over seven years’ experience in enterprise systems and data analytics. He has been involved in large-scale system integration projects in a range of sectors. Peter has received multiple award nominations for teaching excellence.
Monash has propelled my career to new heights I never thought possible.
Monash Online student
Apply your analytics skills in a range of fields, including:
- data science.
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.
Fill in your details to download an interactive course brochure containing:
- course information
- career pathways
- how online study works
- course fees
- how to apply