Current Deakin Students
To access your official course details for the year you started your degree, please visit the handbook
The Graduate Certificate of Data Analytics is ideal for students without a computing background, as well as those who’d like to bolster their industry experience with a recognised academic qualification.
With a focus on fundamental data analytics, this course covers foundation skills, security and privacy issues, research and development, and real world analytics. This course gives you the essential skills and knowledge for employment across a range of industries and prepares you for further studies in IT and Data Science.
Units in the course may include assessment hurdle requirements.Read More
To complete the Graduate Certificate of Data Analytics, students must attain 4 credit points. Most units (think of units as ‘subjects’) are equal to 1 credit point. So that means in order to gain 4 credit points, you’ll need to study 4 units (AKA ‘subjects’) over your entire degree. Most students choose to study 4 units per trimester, and usually undertake two trimesters each year.
The course comprises a total of 4 credit points, which must include the following:
- Four (4) core Fundamental Data Analytics Studies units (SIT718, SIT719, SIT740, MIS770)(4 credit points)
- Completion of STP050 Academic Integrity (0-credit-point compulsory unit)
Students are required to meet the University's academic progress and conduct requirements. Click here for more information.
Year 1 - Trimester 1
2019 Course Information
This course is approved by the University under the Higher Education Standards Framework.
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8.
Campuses by intake
Campus availability varies per trimester. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Read more to learn where this course will be offered throughout the year.
Trimester 1 - March
- Start date: March
- Available at:
- Burwood (Melbourne)
- Cloud Campus
Trimester 2 - July
- Start date: July
- Available at:
- Burwood (Melbourne)
- Cloud Campus
INTERNATIONAL STUDENTS – Please note that due to Australian Government regulations, student visas to enter Australia cannot be issued to students who enrol in Deakin’s Cloud Campus.
Mandatory student checks
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 classes, 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.
Reasonable adjustments to participation and other course requirements will be made for students with a disability. Click here for more information.
Deakin University offers admission to postgraduate courses through a number of Admission categories. In all categories of admission, selection is based primarily on academic merit as indicated by an applicant's previous academic record.
All applicants must meet the minimum English language requirements.
Entry will be based on performance in:
- a Bachelor degree or other qualification at a higher AQF level in any discipline OR
- a minimum of 2 years related work experience
For more information on the Admission Criteria and Selection (Higher Education Courses) Policy visit the Deakin Policy Library
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 System which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.
Fees and scholarships
Learn more about fees and your options for paying.
Fees and charges vary depending on your course, your fee category and the year you started. To find out about the fees and charges that apply to you, visit www.deakin.edu.au/fees.
A Deakin scholarship might change your life. If you've got something special to offer Deakin – or you just need the financial help to get you here – we may have a scholarship opportunity for you.
If you’re a Deakin alumnus commencing a postgraduate award course, you may be eligible to receive a 15% reduction per unit on your enrolment fees. Your Immediate Family Members may also be eligible to apply for this bursary.
How to apply
For more information on the application process and closing dates, see the How to apply webpage. If you're still having problems, please contact us for assistance.
Please complete the Register your interest form to receive further information about our direct application opportunities.
Further study options:
Upon completion of the Graduate Certificate of Data Analytics, you could use the credit points you’ve earned to enter into further study, including:
S777 Master of Data Science
Why choose Deakin
Deakin's Graduate Certificate of Data Analytics prepares students for professional employment across all sectors as data analytics specialists. Data analysts may find employment with organisations who 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.
Course learning outcomes
Deakin's graduate learning outcomes describe the knowledge and capabilities graduates can demonstrate at the completion of their course. These outcomes mean that regardless of the Deakin course you undertake, you can rest assured your degree will teach you the skills and professional attributes that employers value. They'll set you up to learn and work effectively in the future.
Deakin Graduate Learning Outcomes
Course Learning Outcomes
Discipline-specific knowledge and capabilities
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 the frameworks of logical and analytical thinking 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 in order to meet requirements.
Engage in professional and ethical behaviour in the collection, processing, and presentation of data.
Approved by Faculty Board 6 September 2018