Graduate Certificate in Data Analytics

What you will study

The program requires the successful completion of:

• 30 units of core courses.
• 10 units of courses chosen from the course list

Core courses (30 units)

• Professional Practice in IT
• Data Wrangling and Visualisation
• Data Analytics for Business Intelligence

Course list (10 units)

Choose one course from the following list. The Predictive Analytics course is recommended for students who meet the assumed knowledge and are considering completing the Master of Data Science. The Systems Thinking for an Integrated Workforce course is recommended for students who do not meet the assumed knowledge for Predictive Analytics course.

• Predictive Analytics
• Systems Thinking for an Integrated Workforce

Entry requirements

Admission to the program will be available for applicants who have:

• An AQF level seven bachelor degree or higher tertiary qualification.
• Or an AQF Level 6 advanced diploma or associate degree in a cognate area plus a minimum of one year relevant experience.
• Or an AQF Level 5 diploma in a cognate area plus a minimum of two years relevant experience.
• Or at least five years relevant professional experience.

To be considered for admission based wholly or partly on professional experience, applicants must be able to demonstrate that their professional experience involves accessing/analysing/interpreting data.

English language qequirements

All Applicants must demonstrate that they meet the university’s English proficiency requirement. Further information regarding English language proficiency requirements can be found at the English Language Proficiency for Admission Policy. Contact the university for more information.

• IELTS Overall Minimum: 6.5
• IELTS Sub Test Minimum: 6

Recognition of Prior Learning

If you wish to apply for credit for studies completed at another institution, or if you are changing programs within the University and wish to transfer your credit to the new program, visit the University's credit website for more information on applying for credit.

Outcomes

Career outcomes

On completion, you’ll be able to work in roles such as:

• Business analyst
• Business intelligence specialist
• Data analyst
• Data and insights expert
• Researcher
• Information security analyst

Learning outcomes

On successful completion of the program students will have:

• Specialised knowledge of statistical and computational models and concepts and proficiency in their application.
• Specialist knowledge in statistical and computational techniques for developing business intelligence.
• Critical thinking and analytical problem solving to support data storage, manipulation and data-oriented decisions.
• Specialised knowledge and decision-making skills required to inform business intelligence.
• Effective independent and collaborative work skills to apply specialised knowledge and expert judgement through analytics.
• Decision making skills to apply understanding of ethical and legal issues and manage risk.

Fees and FEE-HELP

Indicative annual fee in 2025: $14,075 (domestic full-fee paying place)

Indicative annual fees are based on a full-time study load of 40 units.

A student’s annual fee may vary in accordance with:

• The number of courses studied per trimester.
• Choice of courses.
• Credit from previous study or work experience.
• Eligibility for government-funded loans.

Student fees shown are subject to change. Contact the university directly to confirm.

FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.