Deakin University
Graduate Certificate of Data Analytics
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 6 months
- Course Type: Graduate Certificate
Focus on fundamental data analytics and skills, delve into security and privacy issues, research and development and real-world analytics.
Course overview
The Graduate Certificate of Data Analytics course will equip you with the essential skills and knowledge in data analytics to meet this demand. This course focuses on fundamental data analytics and covers foundation skills, security and privacy issues, research and development, and real-world analytics. You will learn to use data to support organisational decision-making, ensuring you graduate ready for employment across a range of industries or to undertake further studies in IT and data science. This course is ideal for students without a computing background and those who would like to support their industry experience with a recognised academic qualification.
CSP Subsidised Fees Available
This program has a limited quota of Commonwealth Supported Places (CSP). The indicative CSP price is calculated based on first year fees for EFT. The actual fee may vary if there are choices in electives or majors.
Key facts
July, 2026
What you will study
To complete the Graduate Certificate of Data Analytics, students must pass four credit points, which must include the following:
- Academic Integrity and Respect at Deakin
- Three credit points of core units.
- One credit point of course electives.
Core units
- Academic Integrity and Respect at Deakin
- Real World Analytics
- Data Wrangling
- Mathematics for Artificial Intelligence
Elective unit
Plus, one credit point from the following list of course electives:
- Machine Learning
- Statistical Data Analysis
- Modern Data Science
- Bayesian Learning and Graphical Models
Entry requirements
To be considered for admission to this degree, you will need to meet at least one of the following criteria:
- Completion of a bachelor's degree or higher in a related discipline.
- Completion of a bachelor's degree or higher in any discipline and at least two years' relevant work experience (or part-time equivalent).
*Related to the broad field of Information Technology.
English language proficiency requirements
To meet the English language proficiency requirements of this course, you will need to demonstrate at least one of the following bachelor's degrees from a recognised English-speaking country.
- IELTS overall score of 6.5 (with no band score less than 6.0) or equivalent.
- Other evidence of English language proficiency.
Recognition of Prior Learning
The University aims to provide students with as much credit as possible for approved prior study or informal learning which exceeds the normal entrance requirements for the course and is within the constraints of the course regulations. Students are required to complete a minimum of one-third of the course at Deakin University, or four credit points, whichever is the greater. In the case of certificates, including graduate certificates, a minimum of two credit points within the course must be completed at Deakin.
You can also refer to the recognition of prior learning (RPL) system which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.
Outcomes
Learning outcomes
- Develop data analytics solutions based on user requirements by applying foundational knowledge of real-world analytics concepts and technologies.
- Communicate data analytical solutions as appropriate to the context to inform, motivate and effect change utilising a range of verbal, graphical and written methods, recognising the needs of diverse audiences.
- Use digital media to locate and collect information to prepare for data analysis.
- Use logical and analytical frameworks to evaluate data analytics information and user requirements.
- Design solutions for automating data analysis processes by applying foundational technical knowledge and tools.
- Demonstrate the ability to work autonomously to meet requirements.
- Engage in professional and ethical behaviour in data collection, processing and presentation.
Career outcomes
Deakin's Graduate Certificate of Data Analytics prepares students for professional employment as data analytics specialists across all sectors. Data analysts may find employment with organisations that make data-driven decisions in areas including software development, pharmaceutical discovery, marketing, consulting, manufacturing, financial services, telecoms, e-commerce, retail, health care, public services, information security and more.
Fees and CSP
Estimated tuition fee in 2026: $4,204 (Commonwealth Supported Place).
The estimated tuition fee is calculated by adding together four credit points of study. Four credit points is used as it represents a typical enrolment load for a graduate certificate.
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.
Student fees shown are subject to change. Contact the university directly to confirm.
Commonwealth Supported Places
The Australian Government allocates a certain number of CSPs to the universities each year, which are then distributed to students based on merit.
If you're a Commonwealth Supported Student (CSS), you'll only need to pay a portion of your tuition fees. This is known as the student contribution amount – the balance once the government subsidy is applied. This means your costs are much lower.
Limited CSP spaces are offered to students enrolled in selected postgraduate courses.
Your student contribution amount is:
- Calculated per unit you're enrolled in.
- Dependent on the study areas they relate to.
- Reviewed and adjusted each year.
HECS-HELP loans are available to CSP students to pay the student contribution amount.