90% of Deakin graduates employed within 4 months
#1 Victorian university for course satisfaction
#1 Victorian university for facilities and resources
Why choose data analytics at Deakin
The volume and complexity of data available to businesses and research organisations presents challenges that tomorrow’s graduates must be ready to solve. Modern organisations increasingly rely on data analysts to inform both daily operations and long-term strategic decisions. The Graduate Certificate of Data Analytics equips you with the essential skills and knowledge to meet that demand.
With a focus on fundamental data analytics principles, this course covers foundational skills, including data security and privacy issues, research, and development. You will learn how to use data to support and inform organisational decision-making.
This course is ideal for students with a computing background, as well as those who would like to complement their industry experience with a recognised academic qualification. You will graduate ready for employment across a range of industries or for further studies in information technology and data science.
-
Unbeatable employability
Data specialists top the list of the fastest-growing roles globally.
-
In-demand skills
Our courses are shaped by current industry needs and data practices across business, science and technology sectors.
-
Flexible study options
Study online and fit your analytics course around work and life without compromising quality.
-
Leader in data science
More students choose Deakin for data science and analytics than any other Australian university.
Connected to industry
Deakin’s strong industry connections help shape your learning. Build practical experience in real workplace contexts through work-integrated learning, mentoring and networking opportunities. Industry advisory boards also help shape our degrees, which means what you study is current, relevant and aligned to what your future employers need.
Deakin puts employability first
Career outcomes
Whether you want to build on your computing experience or prepare for further study, you'll gain practical data analytics skills to turn data into meaningful insights and support evidence-based decision-making across industries.
Data analyst
Analyse and interpret data to uncover trends and provide insights for informed decision-making. You may prepare reports, develop visualisations and help organisations improve performance through evidence-based recommendations.
- $105k
Typical annual salary in Australia
- #11
Fastest-growing job globally
- 4/5
Job satisfaction
Analytics manager
Manage analytics initiatives that support organisational performance and decision-making. You may lead teams, shape analytics strategies and be responsible for ensuring data insights deliver value across the business.
- $165k
Typical annual salary in Australia
- 15%
Projected job growth in 5 years
Industries you may work in
- Software development
- Pharmaceutical discovery
- Marketing
- Consulting
- Financial services
- Healthcare
Key dates
Direct applications
Trimester 3 2026 applications close 18 October 2026
Trimester 1 2027 applications close 7 February 2027
FAQs
A Deakin postgraduate degree can help you advance your career, deepen your expertise in a specialist field, pivot into a new industry and stand out in a competitive job market. Every course is built with industry input and taught by academics who are active practitioners, so the skills you gain are immediately applicable. Postgraduate study at Deakin is also your chance to connect with leaders in your field and build a network of industry contacts who become valuable professional connections, giving you an advantage that goes well beyond the qualification itself.
Most Deakin postgraduate courses are fee-paying, but there are practical ways to manage the cost of study. You can defer fees with a FEE-HELP loan, repaid through the ATO once you earn above the income threshold. A number of courses have Commonwealth Supported Places where the government covers part of your tuition. Deakin scholarships recognise academic achievement, professional experience and financial need. If you've studied at Deakin before, you may be eligible for a 10% alumni discount. Recognition of prior learning can also reduce costs by crediting past study so you finish sooner.
Yes to all three. Most Deakin postgraduate degrees can be studied online, on campus or a blend of both, and you may be able to switch between full and part time at the start of each trimester to suit your life. If you want to move faster, select courses offer a one-year masters degree designed for working professionals. With three start dates each year for most courses – March, July and November – you don't have to wait long to begin.
The main differences are depth, duration and career outcomes. A graduate certificate is a short, focused qualification, typically six months full time, ideal for upskilling quickly in a specific area. A graduate diploma offers broader knowledge or supports a career change, usually one-year full time. A masters degree delivers advanced expertise and professional recognition, typically one to two years full time. You can also stack qualifications – complete a graduate certificate and use the credit towards a masters.
Each Deakin postgraduate course has a unique structure, check the course stucture section of the course page to see compulsory units, electives and any specialisation streams available. All courses are shaped by industry, so content reflects real challenges in your field. Many courses let you tailor your studies through elective units or specialisations, and some include a capstone project where you apply your learning to a genuine workplace problem.
Entry requirements vary by course, so check this tab on the course page for specific criteria. Most Deakin postgraduate courses require a relevant bachelor degree, though some may accept significant demonstrable work experience as an alternative. You may also be able to build eligibility through a graduate certificate or graduate diploma, which in many cases could count towards a masters degree.
Deakin postgraduate courses are built with industry input, so you're learning skills employers are actively looking for. Depending on your course, you may access work-integrated learning through placements, internships or industry projects with partners including Microsoft, KPMG, National Australia Bank and the Geelong Cats Football Club. DeakinTALENT, Deakin's career service, supports you throughout your studies and for life, helping you grow your network and connect with opportunities in your field.
Yes. Recognition of prior learning (RPL) may turn your previous study or work experience into course credit, reducing both your study time and tuition costs. For some masters degrees, you may be able to receive credit for up to two-thirds of the course, if eligible. Use the RPL calculator to get an indication of what you might receive, and note that prior learning must generally be within the last 10 years, although some courses have a shorter time limit. You can apply for RPL as part of your course application.
*Deakin references data from a range of government, higher education and reputable media sources. Learn more about our achievements on our University rankings page, or explore our sources page for supporting references.
What will I study in the Graduate Certificate of Data Analytics?
Build the analytical skills to turn data into meaningful insights that support evidence-based decision-making across industries.
Foundations of data analytics
Build core data analysis skills
Learn how to collect, clean and explore data to uncover trends.
Apply analytical tools and techniques
Use statistical and computational approaches to interpret data and communicate findings clearly.
Translate insights into impact
Understand how analytics informs strategy, improves performance and supports informed decisions for better organisational outcomes.
Course structure
To complete the Graduate Certificate of Data Analytics, you must pass 4 credit points.
Most units are equal to one credit point. As a full-time student you will study four credit points per trimester.
Are you a current student? For course information that applies to the year you started your degree, visit the handbook.
All students are required to meet the University's academic progress and conduct requirements
Units
You are required to complete three core units (these are essential units for this degree).
In your first trimester you must also complete a 0-credit point unit which are compulsory for all Deakin University degrees.
What to expect while studying
The learning experiences and assessment activities within this course may require students to have access to a range of technologies beyond a laptop or desktop computer. For information regarding hardware and software requirements, please refer to the Bring your own device (BYOD) guidelines via the School of Information Technology website in addition to the individual unit outlines in the Handbook.
Course duration may be affected by delays in completing course requirements, such as failing of units or accessing or completing placements.
Any unit which contains work integrated learning, a community placement or interaction with the community may require a police check, Working with Children Check or other check.
You can expect to participate in a range of teaching activities each week. This could include lectures, seminars, practicals and online interaction. You can refer to the individual unit details in the course structure for more information. You will also need to study and complete assessment tasks in your own time.
At Deakin, we're committed to ensuring an inclusive environment that supports all students to belong, thrive and succeed. We work closely with students, where needed, to identify potential barriers to participation and where possible, provide tailored support so students can engage with learning and assessment activities.
If you are neurodivergent, have a disability, health condition or mental health condition that may impact your study or participation in university life, and want to know how Deakin could support you, contact our Domestic students (opens in a new window) or International students (opens in a new window) or Disability Resource Centre (opens email client) teams for a collaborative and confidential discussion. This discussion is to support you to make plans for your studies and future career and will not have any bearing on your application to the course.
When can I start?
When you study depends on your course, location and available intakes. Check the table to see when you can start and how study is offered throughout the year.
INTERNATIONAL STUDENTS – Please note that due to Australian Government regulations, student visas to enter Australia cannot be issued to students who enrol in Deakin online.
Your course learning outcomes describe the knowledge, skills and capabilities you’ll develop and be able to demonstrate by the time you graduate. Built into your course through your units and assessments, they provide a clear picture of what you’ll be equipped to know, understand and do – preparing you to apply your learning with confidence beyond university.
| Course Learning Outcomes |
|---|
| Develop data analytics solutions based on user requirements by applying foundational knowledge of real world analytics concepts and technologies. |
| Communicate in a professional context to inform, explain and drive sustainable innovation through data science and to motivate and effect change, utilising a range of verbal, graphical and written methods, recognising the needs of diverse audiences. |
| Identify, select and use digital technologies, platforms, frameworks, and tools from the field of data science to generate, manage, process and share digital resources. |
| Evaluate and critically analyse information provided and their sources to inform decision making and evaluation of plans and solutions associated with the field of data analytics. |
| Apply advanced cognitive, technical, and creative skills from data science to understand requirements and design, implement, operate, and evaluate solutions to real-world and ill-defined computing problems. |
| Work independently to apply knowledge and skills to new situations in research and professional practice and/or further learning in the field of data science with adaptability, autonomy, responsibility, and personal accountability for actions as a practitioner and a learner. |
| Apply professional and ethical standards and accountability in the field of data analytics, and openly and respectfully collaborate with diverse communities and cultures. |
- Award granted
- Graduate Certificate of Data Analytics
- Year
2027 course information
- Deakin code
- S576
- Level
- Postgraduate (Graduate Certificate and Graduate Diploma)
- Australian Qualifications Framework (AQF) recognition
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8
Fees
Estimated tuition fee
$4,291
- Commonwealth Supported Place (CSP)
The estimated tuition (student contribution) fee above is based on a typical enrolment of 4 credit points undertaken within the same academic year and is provided as a guide only. Your student contribution is determined by the units you enrol in and will vary depending on the units you choose, your study load, the course duration, and any approved recognition of prior learning. You may also be eligible for a HECS-HELP loan to defer payment of all or part of your student contribution.
Check your eligibility or learn more about CSP or HECS-HELP.
Scholarships
We want to help you excel at Deakin. Our scholarships recognise your dedication and achievements, providing financial support that can ease the cost of living and studying. With less pressure, you'll have more freedom to focus on what matters most – your education and future success.
Applications for 2027 are open
Ready to take the next step? Apply now to start your journey at Deakin and get ready for what’s next.
Key dates
Direct applications
Trimester 3 2026 applications close 18 October 2026
Trimester 1 2027 applications close 7 February 2027
Apply now
Apply direct
Simply create an account in the Deakin Application Portal, enter your personal and educational details, upload your supporting documents and submit your application.
Recognition of prior learning
We value your previous study and experience. Recognition of prior learning enables you to get credit for what you've already achieved. When you apply, we'll consider your previous study and experience for recognition of prior learning.
Pathways
Upon completion of the Graduate Certificate of Data Analytics, you could use the credit points you’ve earned to enter into further study, including: