Graduate Certificate of Data Analytics

2023 Deakin University Handbook

Note: You are seeing the 2023 view of this course information. These details may no longer be current. [Go to the current version]

Year	2023 course information
Award granted	Graduate Certificate of Data Analytics
Course Map	This course map is for new students commencing from Trimester 1 2023. This course map is for new students commencing from Trimester 2 2023. This course map is for new students commencing from Trimester 3 2023. Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser in Student Central.
Campus	Offered at Burwood (Melbourne)
Online	Yes
Duration	0.5 year full-time or part-time equivalent
Deakin course code	S576
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.
INTERNATIONAL STUDENTS – Please note that due to Australian Government regulations, student visas to enter Australia cannot be issued to students who enrol in Deakin online.

Course sub-headings

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 your course, the type of fee place you hold, your commencement year, the units you choose 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. Further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods is available on our Current students fees 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 (one year of part-time study), which must include the following: