Graduate Certificate of Data Analytics
Deakin University
About
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.
Structure
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.
Entry requirements
Entry requirements
Entry information
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
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
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.
| outcome type | outcome description |
|---|---|
| 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. |
Institution
