Monash University
Graduate Certificate of Analytics
- Delivery: Online
- Study Level: Postgraduate
- Duration: 8.5 months
- Course Type: Graduate Certificate
Stand out within your organisation and confidently deliver insights for data-based decision-making organisations.
Course overview
A Graduate Certificate in Analytics will give you the mathematical modelling and programming skills to become an expert data analyst. You’ll learn how to interpret complex data and generate actionable insights.
In this online course, you will be introduced to the fundamental principles and tools in analytics and gain the critical skills required to use data to make informed business decisions. As part of this graduate certificate, you will complete units in Python programming, data science and statistical data modelling.
Become a leader in organisational decision-making in any field you pursue, including business, government and health. The growth of analytics and data-based decision-making means that a graduate qualification in analytics will open up a vast range of career opportunities.
Completing the course may also provide a pathway into the Master of Analytics.
Key facts
What you will study
To complete the Graduate Certificate of Analytics, you must fufil 24 credit points (four units).
Core Units (six credit points each)
You must complete the following units:
- Introduction to Data Analysis
- Introduction to Python
- Mathematical Foundations for Data Science and AI
Electives (six credit points each)
You must complete one of the following units:
- Collaborative and Reproducible Practices
- Data visualisation and analytics
- Introduction to accounting analytics
- Predictive analytics in business
- Statistical data modelling
Entry requirements
To be eligible for admission to the course, you must have:
- An Australian bachelor’s degree or equivalent qualification.
- Successfully completed a first year undergraduate statistics unit, or provide evidence of qualifications/training or experience that the faculty considers to be equivalent.
- Supply a short candidate statement demonstrating professional interest and existing quantitative analysis skills.
English requirements
For entry to Monash University, you must meet the minimum English language requirements. You can do this by completing one of the qualifications listed. Please visit the university's website for the complete list.
University entrance requirements
Minimum entrance requirements apply for admission to Monash University Australia.
Recognition of Prior Learning
You may be able to get credit for your course based on prior formal, non-formal or informal learning. To apply, you will need to provide supporting documentation outlined by the university. Contact the university for more information.
Outcomes
Learning outcomes
These course outcomes are aligned with the Australian Qualifications Framework level 8 and Monash Graduate Attributes.
Upon successful completion of this course, it is expected that:
- You will be critical and creative scholars who produce innovative solutions to problems, apply research skills to business challenges, and communicate effectively and perceptively.
- You will be responsible and effective global citizens who engage in an internationalised world, exhibit cross-cultural competence and demonstrate ethical values.
- You will apply the core principles and approaches to data analytics in a business context.
Fees and FEE-HELP
Average 2025 total course fee: $18,550 (domestic full-fee paying place)
All costs are calculated using current rates and based on a study load of 24 credit points (4 units).
A student’s annual fee may vary in accordance with:
- The number of units studied per term.
- The choice of major or specialisation.
- Choice of units.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.