Master of Business Analytics

Name: Master of Business Analytics
Price: <p>Fee type for this course: <a href='#fees-and-scholarships'> Full fee </a></p> AUD

VU course code: BMBU | CRICOS: 103256H, 105072M | Level of study: Postgraduate

Duration

2 years full time or longer for part time

Delivery mode

Hybrid

Fees

Fee type for this course: Full fee

Location

VU Brisbane, City Tower, VU Sydney

Next start date

24 February 2025

Application closes

16 February 2025

View all start dates

Master of Business Analytics student in SAP studio

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.

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

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

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;

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;

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

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;

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;

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; and,

Exemplify initiative and inspirational leadership in a contemporary work environment, acting consistently, ethically and socially responsibly.
: During the course, you will complete an applied business project, where you'll get apply your knowledge to a contemporary workplace situation, and deliver managerial recommendations in a business setting.
By approaching this authentic business problem with the up-to-date perspectives learnt during your study, you will be able to formulate innovative and ethical solutions and recommendations.
This situational learning will prepare you to confidently take the next step in your career.
: 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.

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.

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.

Units

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).