Graduate Certificate in Analytics (Online)


As little as 8 months


4 courses

Study intakes

January, March, May, July, September, October

Study mode

100% Online

Program code


Completion time dependent on individual study path, RPL, leave and course availability. Please speak to a Student Advisor for more information.

What you will study

The Graduate Certificate in Analytics comprises of four online courses. Tailor your study path and select from 14 online options, including advanced electives in General Analytics, Human Resource Analytics and Marketing Analytics.

To find out more about each course download the program guide.


“This was one of the most well-organised, clear and practical courses I have done. The way the program was structured, the explanations in the course material, and the examples were highly effective in helping me not only understand but enjoy what I was learning, as I could see myself improving. I very much appreciate the staff for their timely and detailed feedback both on assignments and on the forums.”  

- Master of Analytics student  



Career pathways 

The online Graduate Certificate in Analytics from UNSW is ideal for those looking to make the most of their data and deepen their understanding of data analytics tools and techniques. 

Download your program guide to learn about how the Graduate Certificate in Analytics will give you crucial skills necessary to understanding and solving business challenges. 

Download guide



Studying the online Graduate Certificate in Analytics from UNSW will give you the skills to pursue roles such as:


The UNSW Online experience

We are here to support you, every step of the way, to graduate from one of the world’s leading universities. Our online learning environment has been designed to seamlessly fit into your already busy schedule and you’ll be able to access course resources on any device, at any time.

Our academics are some of the best in the world and, even though you’re studying online, you can expect your learning experience to be the same high standard as that of our on-campus students.

Throughout your study journey, you will be able to turn to your Student Success Advisor, who is committed to assisting you from enrolment through to graduation. They are on-hand for all non-academic queries by phone or email.

You will also have access to Career Success – a curated, self-paced module that provides a framework for thinking about, and taking action to implement, an effective career plan. Through Career Success, you will have access to tools like Career AI (powered by VMock) and CaseCoach, and guides on crafting the perfect LinkedIn profile, resume, and cover letter.

Prerequisite course

Introductory Data Analysis is a prerequisite for those interested in choosing:

  • Human Resource Analytics
  • Predictive Analytics
  • Data Visualisation & Communication
  • Financial Modelling
  • Decision Making for Analytics
  • Managing Customer Analytics
  • Foundations of Marketing Analytics




Core courses (choose four)
  • 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 & Digital Analytics
  • Foundations of Marketing Analytics
General Analytics Specialisation
  • Business Analytics and Consulting
  • Financial Modelling
  • Decision Making in Analytics
Marketing Analytics Specialisation
  • Social Media & Digital Analytics
  • Foundation of Marketing Analytics
  • Managing Customer Analytics
  • Human Resource Analytics
  • Human Resource Information Systems

Entry requirements

General admission requirements

To be eligible for the Graduate Certificate in Analytics you must have:

  • An undergraduate degree (in any discipline) OR
  • Applicants who do not meet the undergraduate degree requirement are required to have a minimum of 3 years 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.


Entry via nested qualification

Articulation pathways exist to the Graduate Diploma and Masters program if you complete this program with a minimum WAM of 65.

* Please note, students applying for Graduate Certificate programs are not eligible for credit transfer.


Related program

Prefer more statistics, machine learning and programming? Perhaps the Graduate Certificate in Data Science is for you.

If you're more interested in the financial applications of technology and programming - learn more about our Graduate Certificate in Financial Technology.

Data Science Financial Technology