Graduate Certificate of Data Analytics
2024 Deakin University Handbook
| Year | 2024 course information |
|---|---|
| Award granted | Graduate Certificate of Data Analytics |
| Deakin course code | S576J |
| Faculty | Faculty of Science, Engineering and Built Environment |
| Government subsidised short course | In 2021, the Australian Government's Job-ready Graduates package is providing a limited number of Commonwealth Supported Places (CSPs) in this course. |
| Campus | For students who commenced prior to 2022 |
| Duration | 0.5 year full-time or part-time equivalent |
| Australian Qualifications Framework (AQF) recognition | The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8 |
The final intake to this course version was in 2021. Students should contact a Student Adviser in Student Central for course and enrolment information. Further course structure information can be found in the Handbook archive. | |
Course sub-headings
- Course overview
- Indicative student workload
- Career opportunities
- Participation requirements
- Mandatory student checks
- Pathways
- Fees and charges
- Course Learning Outcomes
- Course rules
- Course structure
Course overview
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.
Indicative student workload
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.
Career opportunities
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.
Participation requirements
Reasonable adjustments to participation and other course requirements will be made for students with a disability. More information available at Disability support services.
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.
Pathways
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
Fees and charges
Fees and charges vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study and their study discipline, and your study load.
Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.
Use the Fee estimator to see course and unit fees applicable to your course and type of place. For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current students website.
Course Learning Outcomes
| 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. |
| Communication | 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. |
| Digital literacy | Use digital media to locate and collect information to prepare for data analysis. |
| Critical thinking | Use the frameworks of logical and analytical thinking to evaluate data analytics information and user requirements. |
| Problem solving | Design solutions for automating data analysis processes by applying foundational technical knowledge and tools. |
| Self-management | Demonstrate the ability to work autonomously in order to meet requirements. |
| Teamwork | Not applicable |
| Global citizenship | Engage in professional and ethical behaviour in the collection, processing, and presentation of data. |
Approved by Faculty Board 27 June 2019
Course rules
To complete the Graduate Certificate of Data Analytics, students must attain 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.
* DAI001 Academic Integrity Module replaces STP050 Academic Integrity from 2024.
Course structure
Core
Year 1 - Trimester 1
STP050 Academic Integrity (0 credit points) [No longer available for enrolment from 2024, alternate unit DAI001]
| SIT718 | Real World Analytics |
| SIT719 | Analytics for Security and Privacy |
| SIT740 | Research and Development in Information Technology |
| MIS770 | Foundation Skills in Data Analysis |
Further information
Student Central can help you with course planning, choosing the right units and explaining course rules and requirements.
- Contact Student Central