University of Newcastle
Graduate Certificate in Data Analytics
- Delivery: Online
- Study Level: Postgraduate
- Duration: 3 Years
- Course Type: Graduate Certificate
Gain practical data analytics skills to analyse, interpret and communicate data, supporting informed decision-making across business and industry.
Course overview
The University of Newcastle's Graduate Certificate in Data Analytics provides a practical introduction to data analytics, equipping students with the knowledge and techniques to extract, interpret and communicate meaningful insights from data. Designed for professionals seeking to strengthen their analytical capability, the program explores how data can be used to support evidence-informed decision-making across a range of business and industry settings.
Throughout the course, students examine data wrangling and visualisation, data analytics for business intelligence and professional practices in information technology. The curriculum focuses on applying analytical techniques to real-world data, enabling students to interpret results, communicate findings effectively and support data-driven decision-making.
Delivered online, the Graduate Certificate offers a flexible study option for working professionals. The qualification also provides a pathway to the University of Newcastle's Master of Data Analytics, allowing students to continue advancing their expertise in this rapidly evolving field.
Key facts
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 7 bachelor's 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 requirements
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
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.
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
Fees and FEE-HELP
Indicative annual fee in 2026: $13,696 (domestic full-fee paying place)
All costs are calculated using current rates and are based on a full-time study load of 40 units (normally four courses) per semester or year.
A student’s fee may vary depending on:
- The number of courses studied per term.
- The choice of major or specialisation.
- Choice of courses.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
You may also need to pay the student services and amenities fee.
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 program.