24 months
Duration
31000 AUD/year
Unknown
Tuition fee
Unknown
Unknown
Unknown
Apply date
Unknown
Start date

About

The Master of Business Analytics from Victoria University helps you gain in-demand, practical skills for a rewarding career applying data to solve business problems.

Overview

About Business Analytics from Victoria University

Explore a new career path, upgrade your skills or change the way you run your business using data! Be the master of your data – the master of your business!

In an era where information and data are central to business, our Master of Business Analytics 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 Master of Business Analytics course covers the following areas:

  • data wrangling and visualisation
  • predictive analytics and big data
  • artificial intelligence and machine learning for business
  • data security and governance
  • cloud technology
  • business data mining and warehousing
  • IT project management.

Careers

The Master of Business Analytics prepares you for positions that include:

  • business analyst
  • business intelligence analyst
  • machine learning and AI consultant
  • data scientist.

Our graduates are employed in a range of specialist fields. Companies where our graduates have been employed include:

  • Accenture
  • AGL
  • BHP
  • British Petroleum (UK)
  • Cadbury Schweppes
  • Carter Holt Harvey
  • China Air Express
  • Ernest & Young
  • Exxon Mobil Ltd
  • IBM
  • Linfox
  • Siemens
  • Unisys.

Programme Structure

Courses included:

  • Accounting for Management
  • Data Analysis for Business
  • Business Economics
  • Work and Organisation Systems
  • Predictive Analytics
  • Business Analytics and Visualisation
  • Experience Management
  • Analytics Project Management
  • Business Data Mining and Warehousing

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

More details

We are currently accepting applications for this course.

Credits

192 alternative credits

Delivered

Blended

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

CRICOS:  103256H, 105072M

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

OR

  • Completion of an Australian Graduate Certificate (or equivalent) in a similar discipline 

Tuition Fee

To alway see correct tuition fees
  • International

    31000 AUD/year
    Tuition Fee
    Based on the tuition of 15500 AUD per semester during 24 months.

The amount you pay for your course depends on whether you’re offered a Commonwealth supported place or a full fee-paying place

Paying national: $28,000 per year

Living costs for Melbourne

1501 - 2659 AUD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Business Analytics
-
Victoria University

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