Victoria University

Graduate Certificate in Business Analytics

  • Delivery: Online
  • Study Level: Postgraduate
  • Duration: 6 months
  • Course Type: Graduate Certificate

Study 100% online and unlock data-driven insights for your business, making agile decisions.

Course overview

This postgraduate data analytics course is practical, driven by real-world needs and business-focused. Through a hands-on approach using open-source environments and cloud technology, you will 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, this 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). You'll benefit from access to open-source environments, R and Python, cloud platforms at AWS and GitHub and VU's global partnership with SAP. Most importantly, you'll learn how to turn these principles and tools into business profit.

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

Key facts

Delivery
Online
More Information
Online Real Time
Course Type
Graduate Certificate
Duration
More Information
Can be studied part time
6 months (Full time)
Price Per Unit
From $4,312.50
More Information
Prices are calculated based on a full-time study load of four units.
Intake
New start dates announced soon
Units
4
Fees
More Information
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.
FEE-HELP

What you will study

To attain the award of Graduate Certificate in Business Analytics, students will be required to complete 48 credit points. Each unit is worth 12 credit points.

Core units

  • Predictive Analytics
  • Business Analytics and Visualisation
  • Coding for Business Analytics
  • Artificial Intelligence and Machine Learning for Business

Entry requirements

To be considered for postgraduate study, you will need to have specific academic qualifications, as outlined below. Victoria University also considers non-academic research and work experience for research candidates.

Admission criteria

Applicants must have one of the following:

  • Completion of an Australian Bachelor's degree (or equivalent) in a similar discipline.
  • Applicants with a minimum of five years of approved work experience will be considered for admission to this course.

Special entry programs

If you are from a disadvantaged or underrepresented social, economic or cultural background, you may be eligible for one of the university's special admission programs. These programs are designed to help you access education more easily.

Recognition of Prior Learning

If you have completed a study with another university or institution, you may be eligible to receive credit for skills and past study. Contact the university for more information.

Outcomes

Learning outcomes

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

  • Review theoretical approaches and analyse their application to achieve effective business intelligence and business analytics systems practice.
  • 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.
  • Critically appraise cross-disciplinary knowledge in creative decision-making.
  • Effectively articulate complex knowledge and ideas to a variety of audiences.
  • Advocate consistently, with personal accountability for outputs in a contemporary work environment in a socially responsible manner.

Career outcomes

This course prepares you for the following roles:

  • Analytics
  • Business intelligence
  • Business analysis
  • Information prediction
  • Financial, logistics, HR and supply-chain analysis

Fees and FEE-HELP

Fee per unit in 2026: $4,312.50 (domestic full-fee paying place)

Indicative full fee in 2026: $17,250 per semester (domestic full-fee paying place)

Full-fee courses are not government subsidised. You will pay the total cost of each unit.

A student’s fee may vary depending on:

  • The number of units studied per term.
  • The choice of major or specialisation.
  • Choice of units.
  • 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.