Victoria University
Master of Business Analytics
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 24 months
- Course Type: Master's
Build advanced skills in business analytics, data visualisation, artificial intelligence and machine learning to help organisations use data to solve complex business problems.
Course overview
Victoria University’s Master of Business Analytics develops advanced skills in using data to support business decision-making and solve complex organisational problems. You will study areas including data analytics, visualisation, predictive analytics, artificial intelligence, machine learning, data security and business data mining.
The course develops practical capability using technologies and approaches used in contemporary analytics environments, including R, Python and cloud-based platforms. You will learn to interpret complex data, communicate analytical findings and apply business intelligence techniques across different organisational contexts.
You will also complete an Applied Business Project, where you will apply your knowledge to a contemporary business problem and develop evidence-based recommendations. Elective study provides further opportunities to tailor part of the course to your interests.
The course comprises 192 credit points and is normally completed over two years of full-time study. Applicants with eligible previous study in a similar discipline may receive up to 48 credit points of exemption, potentially reducing the course duration.
CSP Subsidised Fees Available
This program has a limited quota of Commonwealth Supported Places (CSP). The indicative CSP price is calculated based on first year fees for EFT. The actual fee may vary if there are choices in electives or majors.
Key facts
City
Sydney
26th April, 2027
26th July, 2027
27th September, 2027
What you will study
To attain the Master of Business Analytics, students are required to complete 192 credit points consisting of:
- 48 credit points of college core units
- 96 credit points of professional core units
- 12 credit points for the Business Ethics and Sustainability unit
- 12 credit points for the Applied Business Project (Capstone) unit
- 24 credit points of elective units.
College core units
- Accounting for Management
- Data Analysis for Business
- Business Economics
- Work and Organisation Systems
Professional core units
- Predictive Analytics
- Business Analytics and Visualisation
- Experience Management
- Analytics Project Management
- Business Data Mining and Warehousing
- Data Security and Governance
- Coding for Business Analytics
- Artificial Intelligence and Machine Learning for Business
Core units
- Business Ethics and Sustainability
- Applied Business Project
Elective units
Students must complete 24 credit points of elective units.
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 any discipline.
- Completion of an Australian Graduate Diploma (or equivalent) in a similar discipline.
- Applicants without an undergraduate qualification may be admitted to the Graduate Diploma based on approved work experience. Upon completion of the Graduate Diploma, graduates will be eligible for admission to this course with credit granted for completed units.
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
You may receive credit for your previous study, reducing the time it takes to complete your course.
Pathways from other institutions
Any study completed at another institution will be considered in your application.
Credit for skills and past study
Applicants with an Australian bachelor's degree (or equivalent) or higher in a similar discipline may be eligible for an exemption of 48 credit points of study.
Contact the university for more information.
Outcomes
Learning outcomes
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 Systems 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, regarding 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.
- Exemplify initiative and inspirational leadership in a contemporary work environment, acting consistently, ethically and socially responsibly.
Career outcomes
The Master of Business Analytics prepares you for positions including:
- Business analyst
- Business intelligence analyst
- Machine learning and AI consultant
- Data scientist
Fees and CSP
Indicative fee per unit in 2027: $4,700 (domestic full-fee paying place)
Indicative full fee in 2027: $37,600 per year (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.
CSP loans are available to assist eligible full-fee paying domestic students.