Deakin University
Master of Business Analytics
- Delivery: Online
- Study Level: Postgraduate
- Duration: 24 months
- Course Type: Master's
Acquire practical experience with a variety of internationally recognized business intelligence and advanced analytics tools.
Course overview
There is strong demand for business-minded data experts who combine technical expertise with business acumen to enable evidence-based decision-making. If you want to develop the skills to assist decision makers and support effective business process design, Deakin's Master of Business Analytics equips you to step up to this challenge.
In the business world, understanding and interpreting data is integral to decision-making. The Master of Business Analytics gives you the skills to help organisations achieve their strategic objectives through analytics-based solutions. You will learn skills in demand in both the private and public sectors, where various industries are moving towards increasingly evidence-based decision practices.
The course has been developed in consultation with industry leaders and partners, including IBM, Microsoft, Altis Consulting, Deloitte, EY, PBT Group and PwC. You will gain hands-on experience with internationally recognised business intelligence and state-of-the-art analytics tools. The latest analytics concepts and issues are also integrated across the curriculum.
Working alongside expert academics, you will explore topics such as business intelligence, predictive analytics, decision modelling, machine learning, artificial intelligence, cyber security strategies and real-world applications of analytics.
This flexible course caters for working professionals balancing study with other commitments. You can also fast-track to complete your course in as little as a year. Choose to study online or on campus and tailor your study to meet your needs.
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
July, 2026
November, 2026
What you will study
The course is typically 16 credit points. You will study 11 credit points of core units, one credit point from course elective units and four credit points of open elective units which may be selected from a specialisation, a selected list of units or any postgraduate units offered by the university including stackable short courses (0.5 credit point microcredentials), subject to eligibility.
You must complete the compulsory Academic Integrity Module in your first trimester of study (zero credit point unit).
- Foundation Skills in Data Analysis
- Business Intelligence and Database
- Value of Information
- Descriptive Analytics and Visualisation
- Predictive Analytics
- Decision Modelling for Business Analytics
- Machine Learning in Business
- Real World Analytics
- Advanced Artificial Intelligence for Business
- Cyber Security Strategies
- Decision Analytics in Practice (Capstone)
Entry requirements
Selection is based on a holistic consideration of your academic merit, work experience, likelihood of success, availability of places, participation requirements, regulatory requirements and individual circumstances. You will need to meet the minimum academic and English language proficiency requirements to be considered for selection, but this does not guarantee admission.
One year full-time (or part-time equivalent) - eight credit points
To be considered for admission to this degree (with eight credit points of admission credit applied^*) you will need to meet at least one of the following criteria:
- Completion of a bachelor's degree (honours) (AQF 8) or higher in a related discipline.
- Completion of a bachelor's degree in a related discipline and at least two years of relevant work experience (or part-time equivalent).
- Completion of a graduate certificate or graduate diploma or higher in a related discipline.
1.5 years full-time (or part-time equivalent) - 12 credit points
To be considered for admission to this degree (with four credit points of admission credit applied^*) you will need to meet at least one of the following criteria:
- Completion of a bachelor's degree or higher in a related discipline.
- Completion of a bachelor's degree or higher in any discipline and at least two years of relevant work experience (or part-time equivalent).
2 years full-time (or part-time equivalent) - 16 credit points
To be considered for admission to this degree (without admission credit applied*) you will need to meet the following criteria:
- Completion of a bachelor's degree or higher in any discipline.
^Related discipline degree: A 'related discipline' award for this course is a bachelor's degree in information systems, information technology, computer science, mathematics and/or statistics, or a bachelor's degree in any discipline with a specialisation (major/minor) in information systems/ information technology/ mathematics/ statistics.
^Relevant work experience: Relevant work experience is professional work experience either in a business or IT-related role in any industry.
*Credit for Recognition of Prior Learning will still be considered on a case-by-case basis.
Recognition of Prior Learning
Deakin University aims to provide students with as much credit as possible for approved prior study or informal learning.
You can refer to the recognition of prior learning (RPL) system which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.
Visit their website or contact the university for more information.
Outcomes
Learning outcomes
- Show a specialised and integrated understanding of the contemporary body of knowledge of business analytics to research, design and implement projects with creativity and initiative.
- Interpret specialised knowledge and effectively communicate complex business analytics findings to specialists and non-specialists.
- Expertise in using business analytics technologies to source information independently, analyse complex business data and disseminate findings.
- Evaluate complex business information using specialised and advanced critical and analytical thinking and judgement.
- Use research skills and analytics techniques to interpret data, analyse business environments and develop advanced solutions for authentic (real-world and ill-defined) problems.
- Show autonomy, adaptability and responsibility, self-reflect, critique one's performance and identify and plan future development as a business analytics professional.
- Collaborate constructively in teams to produce and share specialised and integrated analytic solutions to complex business problems.
- Engage ethically and productively in a business analytics professional context with diverse communities and cultures globally.
Career outcomes
Career paths following completion of the course include:
- Business Intelligence Analyst
- Business systems Analyst
- Market research Analyst
- Statistician
- Business Data Scientist
- Analytics Project Manager
Fees and CSP
Estimated tuition fee in 2026: $8,337 (Commonwealth Supported Place).
Estimated tuition fee in 2026: $32,800 (domestic full-fee paying place).
All costs are calculated using current rates and are based on a full-time study load of eight credit points (normally eight units) per year.
A student’s annual fee may vary in accordance with:
- 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.
Student fees shown are subject to change. Contact the university directly to confirm.
Commonwealth Supported Places (CSP)
The Australian Government allocates certain numbers of CSP to universities each year, which are then distributed to students based on merit.
If you're a Commonwealth Supported Student (CSS), you'll only need to pay a portion of your tuition fees. This is known as the student contribution amount – the balance once the government subsidy is applied. This means your costs are much lower.
Limited CSP spaces are offered to students enrolled in selected postgraduate courses.
Your student contribution amount is:
- Calculated per unit you're enrolled in.
- Dependent on the study areas they relate to.
- Reviewed and adjusted each year.
HECS-HELP loans are available to CSP students to pay the student contribution amount.