In partnership with the Australian Financial Review
University of New South Wales
Strengthen your marketing expertise by developing the analytical skills to interpret customer data, evaluate campaign performance and make evidence-based marketing decisions in a digital-first environment.
As marketing becomes increasingly shaped by customer and digital data, the UNSW Graduate Certificate in Marketing Analytics supports professionals seeking to make more informed, measurable marketing decisions. It is suited to marketers, analysts and other professionals looking to connect commercial strategy with analytical evidence.
You will develop a foundation in data analysis before exploring how customer, social media and digital-platform information can inform acquisition, retention and engagement strategies. Learning integrates statistical analysis with customer relationship management, campaign evaluation and the interpretation of marketing performance, helping you translate complex findings into practical recommendations.
The flexible course structure allows you to deepen your understanding of customer and digital analytics or complement this focus with areas such as predictive analytics, data visualisation, programming, database management, ethics or organisational change. Applied activities draw on marketing and business problems, supporting the practical use of analytical methods rather than treating data as an isolated technical discipline.
Delivered entirely online over approximately eight months part-time, the qualification may support progression towards marketing analytics, customer insights, digital marketing and related analytical roles. Graduates who achieve the required academic standard may also continue into eligible UNSW analytics programs. The program is delivered through UNSW Business School, which holds AACSB and EQUIS accreditation.
To earn the Graduate Certificate in Marketing Analytics, you must successfully complete units totalling 24 credit points, as detailed below. Unless otherwise noted, each course is worth 6 credit points.
Prerequisite units
Marketing Analytics Core units
Select at least 12 credit points from the following:
Other electives
If completing only 12 credit points of the Marketing Analytics Core units above, select 6 credit points of the following:
*Introductory Data Analysis is a prerequisite for these courses.
Academic requirements
To be eligible for the Graduate Certificate in Marketing Analytics, you must have one of the following:
English language requirements
You may need to provide evidence of English proficiency to study at UNSW. This ensures you can succeed in webinars, coursework and assessments. Proof can include:
Contact the university or visit its website for more information.
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.
Career outcomes
The Graduate Certificate in Marketing Analytics from UNSW Online is designed for professionals aiming to leverage data and enhance their expertise in marketing analytics tools and techniques. Studying this will give you the skills to pursue roles such as:
Indicative annual fee in 2026: $20,500 (Full-fee paying place)
Indicative annual fees are based on your first year of study.
A student’s annual fee may vary by:
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.
Assistant Professor of Marketing at the UNSW Business School
This program is designed to equip students with the advanced technical, strategic and communication skills needed to turn complex data into meaningful business insights. The program empowers graduates to drive evidence-based decision-making and lead organisational change. Ultimately, it opens pathways to high-demand analytics roles and accelerates career growth in a rapidly evolving, data-driven world.
