Graduate Certificate of Data Analytics

2021 Deakin University Handbook

Note: You are seeing the 2021 view of this course information. These details may no longer be current. [Go to the current version]

Year	2021 course information
Award granted	Graduate Certificate of Data Analytics
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.
Course Map	Government subsidised short course – Trimester 1 2021 course map Government subsidised short course - Trimester 2 2021 course map For course advice please contact a Student Adviser.
Campus	Offered at Burwood (Melbourne)
Cloud Campus	Yes
Duration	0.5 year full-time or part-time equivalent
Deakin course code	S576J
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.

Course sub-headings

Course overview

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.

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 and modern organisations are placing increasing emphasis on the use of data to inform day-to-day operations and long-term strategic decisions. Take the next step in your career with essential skills in data analytics enabling you to discover insights and support decision making.

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.

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. Click here for more information.

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 your course, the type of fee place you hold, your commencement year and your study load. To find out about the fees and charges that apply to you, visit the Current students fees website or our handy Fee estimator to help estimate your tuition fees.

The Australian Government's Job-ready Graduates package provided a limited number of Commonwealth Supported Places (CSPs) for this course.

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. 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.