Master of Business Analytics

VU course code: BMBU | CRICOS: 103256H, 105072M | Level of study: Postgraduate
2 years full time or longer for part time
Hybrid

Fee type for this course: Full fee

VU Melbourne: City Campus, VU Brisbane, VU Sydney
29 April 2024
21 April 2024
Master of Business Analytics student in SAP studio
Overview

Overview

Gain in-demand, practical skills for a rewarding career applying data to solve business problems, with a Master of 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). Using open-source environments R and Python and cloud platforms at AWS and Github – and through our global partnership with SAP – you'll gain practical, useful skills. More importantly, you'll learn how to turn these principles and skills 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 for using data to solve real-world problems. You will develop a portfolio of projects to present in job applications, based on our 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.

Entry requirements

When assessing your application, we consider your education, work experience, current skills and personal attributes (where relevant).

Applicants for this course will need to meet the entry criteria outlined below. If you don’t meet the entry criteria, you may be able to gain entry by first completing a different course. We call this a ‘pathway’.

For PhD applicants, we offer a related ‘Integrated PhD’ which allows you to establish relevant skills before beginning your research.

You may also be eligible for course ‘credits’, where you are granted a unit or units towards your qualification for equivalent previous study or work experience, so you can graduate sooner.

Entry criteria

Credit & Entry pathways into this course


Victoria University is committed to providing a transparent admissions process. Find out more about how to apply for our courses, and our commitment to admissions transparency. Meeting the minimum admission criteria does not guarantee entry into this course. Past academic performance may be considered.

Fees & Scholarships

University fees vary, depending on how much the government contributes towards course costs (if anything).

Read below to find out about the fee ‘type’, the estimated yearly tuition costs for this course, and the financial support on offer (including our generous scholarship program).

10% discount for alumni

If you’ve previously completed a qualification with us, and you’re paying full fees for this course, you may be eligible for a 10% discount.

Find out how

Fees

Scholarships

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.