Course location
Sydney

Duration
4 semesters of study

Course code
BMBU

CRICOS code
105072M

Intakes
August, October & November

Course fee (2021)
A$12,670 per semester

Gain in-demand, practical skills for a rewarding career applying data to solve business problems, with a Master of Business Analytics from Victoria University in Sydney.

Take a new career path, or change the way you run your business using data!

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.

Using open-source environments, R and Python, you'll discover the principles of data science, DataViz, machine learning, and Artificial Intelligence (AI) – and how to turn these principles into business profit.

The Master of Business Analytics course covers the following areas:

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

Course highlights

You will complete an Applied Business Project that seeks to add new knowledge and understanding to enable you to solve complex local and global problems.

This course allows you to add real value – evaluating and synthesising information to develop real-world business analytics knowledge.

If you have an Australian bachelor degree in business (or similar discipline), you may be eligible for an exemption of 48 credit points of study.

If you receive 48 credit points for previous study, you may be able to qualify with a masters in 1.5 years, enabling you to launch your professional business analyst career sooner.

We support women and diversity groups in data science. We are proud to be part of the following groups:

  • Stanford University Women in Data Science Networking
  • R Ladies network
  • CPA Australia Business Analytics.

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 an 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.

Learning outcomes

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

1. Critically reflect upon theoretical approaches and analyse their application to achieve effective use of Business Intelligence/Business Analytics to support operations and management practice

2. Justify and interpret theoretical propositions and related bodies of knowledge to critically evaluate the resolution of business problems and make recommendations relevant to contemporary Business Intelligence/Business Analytics Systems

3. Critically reflect on cross-disciplinary knowledge in decision making associated with the selection, implementation and use of Business Intelligence/Business Analytics System for emerging contexts

4. Exhibit accountability in autonomous and collaborative judgements and innovative strategic thinking in response to contemporary and future business Intelligence/business analytics challenges

5. Formulate, implement and evaluate industry-specific investigations to resolve complex professional problems and inform decision-making drawing on Business Intelligence/Business Analytics Systems and associated Information Systems

6. Articulate effectively with specialist and non-specialist audiences including multi-disciplinary teams, diverse cultural communities and business and other professional organisations in regards to Business Intelligence and Analytics

7. Propose and execute a substantial research based project or evidence-based capstone experience linked to a contemporary Business Intelligence/Business Analytics System to generate and evaluate complex ideas and concepts at abstract and practical levels

8. Exemplify initiative and inspirational leadership in a contemporary work environment, acting consistently, ethically and socially responsibly.

Careers

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

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

Course structure

To attain the Master of Business Analytics, students will be required to complete 192 credit points consisting of:

  • 48 credit points college core units
  • 96 credit points professional core units
  • 12 credit points BMO5501 Business Ethics and Sustainability; and,
  • 12 credit points BMO7006 Applied Business Project (Capstone); and,
  • 24 credit points elective units. Please check any pre-requisite requirements prior to enrolling.

College Core Units

Professional Core Units

Core Units

24 credit points elective units

Entry requirements

You must provide evidence that you have completed an approved English language test, and achieved the result as described below:

  • IELTS (Academic Module): Overall score 6.5 (no band less than 6.0)
  • TOEFL Internet: Overall score 79 (section scores no less than: Listening 19, Speaking 19, Reading 18, Writing 22)
  • Pearson Test of English (PTE): Overall score 58-64 (no section score less than 50)
  • University of Cambridge - Advanced (CAE): Total score of 176 (no individual band less than 169)
  • VU English - University Preparation UPU (Undergraduate): Achieved
  • English Language School in Sydney (ELSIS) - EAP 2 (advanced): A grade.

Recognition of prior English language studies

If you have completed a qualification where English was the primary language of instruction, you may be eligible for an English language exemption. Check our Guide to English Language Requirements (PDF, 112 KB) to find out if you qualify.

Students who do not meet the English language requirements may choose to undertake an intensive English course at the English Language School in Sydney (ELSIS).

Academic requirements

Entry into the Master of Business Analytics requires you to have completed:

  • an Australian Bachelor degree (or equivalent) in any discipline OR
  • an Australian Graduate Diploma (or equivalent) in a similar discipline PLUS
  • IELTS (or equivalent), with an overall score of 6.5 (with no band less than 6.0 in Listening, Reading, Writing and Speaking).

Your eligibility will be assessed when we receive your complete application.

Find out if you meet the minimum academic (international qualification) requirements to be eligible to apply for this course by reviewing the academic entry requirements listed by country (PDF, 270 KB)

Applicants must be aged 18 or over to be eligible to apply for this course.

Credit for skills & past study

If you've completed study with another university or institution and believe you're eligible to receive credit for skills and past study, you can apply for advanced standing.

Applications for advanced standing can be made after a discussion with your course coordinator.

Apply for this course

Submit an application to study this course at VU Sydney.

Please note that all tuition fees are subject to an annual increase each year of your study, effective at the start of each calendar year. This increase will be reflected in invoicing issued to you. This annual increase in fees is covered as part of the agreed terms and conditions of your Letter of Offer.