Available loans
Australian Higher Education Loan Program (HELP)
Total subjects
4
Price
From
$14,000
Study method
100% Online
Assessments
100% online
Credit available
Yes
Applications Close
- No dates available
Degree details
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.
We live in an era where information and data are central to business. Our Graduate Certificate in Business Analytics – with its SAP component – gives you the knowledge needed for entry roles in SAP and business analytics.
According to Accenture, there are more than 40,000 SAP professionals worldwide, with more roles requiring SAP expertise than any other systems integrator.
Our course prepares you for the following roles:
- SAP-related fields
- analytics
- business intelligence
- business analysis
- information prediction
- financial, logistics, HR, and supply-chain analysis.
Use Labour Market Insights (government website) to find average salaries for ICT business and system analysts in Australia.
Higher education
Completion of an Australian Bachelor degree (or equivalent) in a similar discipline
Work and Life
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.
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.