Graduate Certificate in Business Analytics

On successful completion of this course, students will be able to:

 1. Review theoretical approaches and analyse their application to achieve effective Business Intelligence and Business Analytics Systems practice; 

 2. Justify and interpret theoretical concepts and related knowledge to think critically in the resolution of authentic business problems in contemporary Business Intelligence and Business Analytics Systems;  

3. Critically appraise cross disciplinary knowledge in creative decision making; 

4. Effectively articulate complex knowledge and ideas to a variety of audiences; and, 

5. Advocate consistently, with personal accountability for outputs in a contemporary work environment in a socially responsible manner.

Find data-driven insights for your business and make agile decisions with the Graduate Certificate of Business Analytics from Victoria University.

Practical, real-world driven and business focused, our course is a winner! With a combination of a hands-on approach, student support network, use of open source environments and cloud technology, you will have the opportunity to learn new skills, upgrade your current ones and build a solid foundation for career growth.

In an era where information and data are central to business, our Graduate Certificate teaches skills you can apply every day to solve business problems, create new opportunities and run the market.

You'll discover the principles of data science, data visualisation, machine learning and Artificial Intelligence (AI) by using open-source environments, R and Python, leveraging cloud platforms at AWS and Github, and extending our global partnership with SAP. More importantly, you'll learn how to turn these principles into business profit.

Building on our strong connections with local businesses and international partners, our course gives you hands-on experience and a true feel of using data to solve real world problems. You will develop a portfolio of projects to present in your CV, based on a continuous review of recent job market demands. Plus, you will have plenty of opportunities to network with industry experts and learn from mentors, supported by our Postgraduate Data Analytics association.

The Graduate Certificate of Business Analytics course covers:

• data wrangling and visualisation
• predictive analytics and big data
• artificial intelligence and machine learning for business
• cloud technology and data mining.

Study in convenient eight-week blocks

Following the overwhelming success of the revolutionary VU Block Model with undergraduate students, we have rolled out the Block Model to our postgraduate courses.

This course is delivered in eight-week mode, which means you study two units (subjects) at a time over eight weeks (or one unit at a time over eight weeks for part-time study), rather than juggling several units at once. And with its focused timetables and smaller, collaborative classes, VU’s Block Model gives you more time to connect with your peers, lecturers and industry partners, helping you to build strong professional networks.

The VU Block Model has improved our student results and engagement, and has won multiple international awards for innovation and excellence.

Benefit from industry partnerships with multibillion-dollar companies

With VU’s Graduate Certificate in Business Analytics, you will learn how to apply up-to-date business and technology trends to real-world problems.

Many of our lecturers work in the industry. We also have strong industry partnerships with businesses such as Linfox and SAP. These keep our course relevant, and give you valuable work experience.

During your study, you’ll have the chance to learn from global and local organisations in SAP-related roles, and gain authentic experience in analytics, business intelligence and other ERP areas.

Our current SAP project-partner organisations are multibillion-dollar companies:

• AusNet services owners and operators of the Victorian electricity transmission network
• O-I Glass - the world's leading glass container manufacturer.

Recommended study pattern

To attain the award of Graduate Certificate in Business Analytics, students will be required to complete 48 credit points consisting of:

• 48 credit points of core units

Course structure and units

• Predictive Analytics - Unit code: BCO6008, Credits: 12
• Business Analytics and Visualisation - Unit code: BCO7000, Credits: 12
• Coding for Business Analytics - Unit code: BCO7006, Credits: 12
• Artificial Intelligence and Machine Learning for Business -Unit code: BCO7007, Credits: 12

Award requirements

To attain the award of Graduate Certificate in Business Analytics, students will be required to complete 48 credit points consisting of:

• 48 credit points of core units.

Open Universities Australia is a not-for-profit organisation. You will not pay any fees for using our services.

Indicative total fee $14,000

The amount shown here is indicative for an Australian citizen studying full-time, which is typically 8 subjects per year.

Fees may vary depending on:

• the subjects you choose
• credit from previous work experience
• your eligibility for government funding loans or subsidies such as HECS-HELP or a Commonwealth supported place.

To learn more, go to Fees or contact a student advisor.

Victoria University (VU) offers a world-class education to students in Melbourne and beyond. Number 1 in Australia for Employability Skills, VU is the first Australian university to deliver the revolutionary VU Block Model of teaching and learning. It enables students to study one subject at a time, in smaller classes, allowing more one-on-one time with lecturers and greater immersion in each subject. Core to VU is its partnership with industry.

Learn more about VU.

Explore VU courses.

QS World University Ranking 2025, within Australia:

33

Times Higher Education World University Ranking 2025, within Australia:

33

Completion of an Australian Bachelor degree (or equivalent) in a similar discipline

Applicants with a minimum five (5) years approved work experience will be considered for admission to this course.

If you have completed study with another university or institution and believe you are eligible to receive credit for skills and past study, you can apply for credit (advanced standing).

Applications for credit (advanced standing) can be made as part of your course application.