University of New South Wales
Graduate Certificate in Analytics
- Delivery: Online
- Study Level: Postgraduate
- Duration: 8 months
- Course Type: Graduate Certificate
Build practical analytics capability to collect, interpret and communicate data-driven insights that support evidence-based decision-making across a range of business contexts.
Course overview
The Graduate Certificate in Analytics is designed for professionals looking to develop practical analytics capability and apply data to informed business decision-making. Suitable for graduates from any discipline as well as professionals with relevant work experience, the course provides a foundation in contemporary analytics and prepares students to work confidently with data across a range of organisational contexts.
Throughout the course, students develop the ability to analyse, interpret and communicate data to support evidence-based decisions. The curriculum focuses on transforming data into meaningful insights, strengthening analytical thinking and building the confidence to apply analytics to real business challenges. Students can tailor their studies by selecting courses aligned with their professional interests, including areas such as business, marketing or human resource analytics.
Delivered 100% online and part-time, the program can be completed in as little as eight months, allowing professionals to balance study with work and personal commitments. The flexible course structure also provides a pathway to further postgraduate study in analytics while enabling students to build capability that can be applied across a broad range of industries and business functions.
Key facts
26th October, 2026
What you will study
To earn the Graduate Certificate in Analytics, you must complete four courses from the following:
- Principles of Programming
- Managing People, Analytics and Change
- Introductory Data Analysis
- Analytics and Business
- Predictive Analytics
- Data and Ethics
- Database Management
- Data Visualisation and Communication
- Business Analytics and Consulting
- Financial Modelling
- Decision Making for Analytics
- Managing Customer Analytics
- Social Media and Digital Analytics
- Foundations of Marketing Analytics
Entry requirements
Academic requirements
To be eligible for the Graduate Certificate in Analytics, you must have one of the following:
- An undergraduate degree (in any discipline).
- A minimum of three years of relevant or professional experience in analytics, clerical or administrative work in a commercial, not-for-profit or public service organisation or other analytics-related positions.
Relevant experience includes being responsible for tasks that are non-routine, unstructured or semi-structured, engaging in problem-solving activities. It can include experience of managing a small team, being a team leader, managing a project or being responsible for the management and allocation of resources. Alternatively, engaging in a professional role over a period of time is relevant experience.
English language requirements
You may need to provide evidence of your English language proficiency to study at UNSW, depending on your educational background and citizenship. UNSW requires a minimum level of English language competency for enrolment. English language skills are essential for webinar comprehension and the completion of coursework, assignments and examinations.
If English is not your first language, you will need to provide proof of your English proficiency before you will be given an offer to study at UNSW. You can do this by providing evidence that you meet one or more of the following criteria:
- English language tests and university English courses.
- Prior study in the medium of English.
- Other qualifications.
- English waivers.
Recognition of Prior Learning
You may be eligible for recognition of prior learning if you have previously studied or have relevant work experience. This will help reduce the number of units you need to study to finish your course. Contact the university for more information.
Outcomes
Career outcomes
- Data analyst
- Business intelligence analyst
- Senior marketing coordinator
- Research analyst
- Senior customer analyst
- Human resource systems analyst
- Digital marketing analyst
- Human resource analyst
Fees and FEE-HELP
Indicative fee per course in 2026: $5,130 (domestic full-fee paying place)
Indicative total program fee in 2026: $20,500 (domestic full-fee paying place)
All costs are calculated using current rates and are based on a study load of four courses per semester or year.
Student fees may vary in accordance with:
- 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 course.