Direct applications to Deakin for Trimester 1 2023 close 19 February 2023
The sheer volume and complexity of data already at the fingertips of businesses and research organisations gives rise to challenges that must be solved by tomorrow’s graduates. With an increasing emphasis on the use of data to inform day-to-day operations and long-term strategic decisions, modern organisations are reliant on data analysts. This course will equip you with the essential skills and knowledge in data analytics to meet this demand.
With a focus on fundamental data analytics, this course 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, as well as those who would like to support their industry experience with a recognised academic qualification.
- Award granted
- Graduate Certificate of Data Analytics
2023 course information
- Deakin code
- Postgraduate (Graduate Certificate and Graduate Diploma)
- Approval status
This course is approved by the University under the Higher Education Standards Framework.
- Australian Qualifications Framework (AQF) recognition
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8.
To complete the Graduate Certificate of Data Analytics, students must attain 4 credit points (one year of part-time study), which must include the following:
- Three (3) credit points of core units
- One (1) credit point of level 7 SIT or MIS coded electives
- Completion of STP050 Academic Integrity (0-credit point compulsory unit)
Year 1 - Trimester 1
One (1) credit point of level 7 SIT or MIS coded electives
Intakes by location
The availability of a course varies across locations and intakes. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Check each intake for up-to-date information on when and where you can commence your studies.
Trimester 1 - March
- Start date: March
- Available at:
- Burwood (Melbourne)
Trimester 2 - July
- Start date: July
- Available at:
- Burwood (Melbourne)
Trimester 3 - November
- Start date: November
- Available at:
- Burwood (Melbourne)
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 Online.
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.
Entry will be based on performance in:
- Bachelor degree in any discipline OR
- 2 years related work experience OR
- Evidence of academic capability judged to be equivalent
Deakin University offers admission to postgraduate courses through a number of Admission categories.
All applicants must meet the minimum English language requirements.
Please note that meeting the minimum admission requirements does not guarantee selection, which is based on merit, likelihood of success and availability of places in the course.
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.
The available fee places for this course are detailed above.
Tuition fees are determined by your enrolment:
- If you are offered a full fee paying place, your tuition fees are calculated based on your course.
- If you are offered a Commonwealth supported place, your tuition fees are calculated depending on the units you choose. A limited number of Commonwealth supported places are available for this course.
The 'Estimated tuition fee' is provided as a guide only based on a typical enrolment of students completing this course within the same year. The cost will vary depending on the units you choose, your study load, the length of your course and any approved Recognition of Prior Learning.
One year full-time study load is typically represented by four credit points of study for Graduate Certificates. Each unit you enrol in has a credit point value. The 'Estimated tuition fee' is calculated by adding together four credit points of a typical combination of units for your course.
You can find the credit point value of each unit under the Unit Description by searching for the unit in the Handbook.
Learn more about fees and available payment options.
What is FEE-HELP?
FEE-HELP loans cover up to 100% of tuition fees for eligible students. By taking out a FEE-HELP loan, the government pays your tuition fees directly to Deakin, and the balance is repaid from your employment income - but only once you're earning over $48,361.
Please note: fees shown by the calculator are indicative only and based on 2023 rates. Actual fees may vary. We advise confirming fees with Prospective Student Enquiries prior to enrolment.
Estimate your FEE-HELP
per pay cycle
after FEE-HELP and tax
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Your estimated FEE-HELP repayments
- $* is the estimated full cost for a Graduate Certificate of Data Analytics (4 credit points), based on the 2023 fees.
- is the annual FEE-HELP payment, based on your current salary
- of your current salary be spent on FEE-HELP
Deakin University (Deakin):
- gives no warranty and accepts no responsibility for the currency, accuracy or the completeness of the information provided;
- advises users that no reliance should be placed upon on the information provided, and;
- instructs users that they should confirm the actual course fee with Prospective Student Enquiries prior to enrolment.
This tool provides indicative information about the fees that will be payable in respect of courses and subjects offered to prospective students domiciled in Australia during the periods indicated.
Please note that the fees shown by the calculator are indicative only and actual fees may vary. Users are advised to confirm the actual course fee with Prospective Student Enquiries prior to enrolment.
The estimated course fee is based on the tuition fee costs applicable to a domestic full time student commencing the course in Trimester 1 and studying full time for the duration of the course but:
- does not include non-tuition costs that may apply, such as Student Services and Amenities Fees (SSAF);
- does not take into account any scholarships or bursaries awarded to the student (including the 10% Deakin alumni discount);
- assumes the maximum number of units that need to be successfully completed actual number completed may be reduced if recognition of prior learning is granted;
- assumes that no exceptional, or non-typical, circumstances apply to the proposed course of study;
- assumes that the options that the user selects are appropriate for the course of study that they intend to undertake;
- where fees are estimated for future years those fee will be subject to annual increases in accordance with increases in the cost of course delivery.
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 10% reduction per unit on your enrolment fees.
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.
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
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