#2 business school in Victoria for career impact
Data analysts among the top 12 fastest-growing roles globally
Victoria's first business analytics program
Why choose business analytics at Deakin
Launch a career that connects data and strategy with Deakin’s Master of Business Analytics, building on the state of Victoria’s first and most established business analytics program. You will learn how to govern, manage and analyse data to produce evidence-based recommendations, drawing on data visualisation and storytelling, predictive analytics, business intelligence and artificial intelligence.
Study with a university recognised as a leader in analytics education and prepare for a field were data analysts and scientists are among Australia’s fastest-growing occupations. Using industry-standard tools, you will apply your skills to real or simulated business problems, informed by industry partners such as IBM, Microsoft, Deloitte and PwC. With strong industry connections, practical learning and career support, you will graduate ready for roles such as business analyst, data analyst or analytics consultant across a range of industries.
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Leaders in business analytics
Study one of Victoria’s first and most established programs, designed to build advanced analytics capability for modern business.
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Proven employability
Study at the #2 Victorian university for career impact, while building advanced analytics capability.
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Practical analytics learning
Apply your skills to real or simulated business challenges through industry-informed learning.
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Advanced technical skills
Develop expertise in machine learning, predictive analytics and data visualisation through a structured curriculum aligned with industry practice.
Connected to industry
Deakin’s strong industry connections help shape your learning. Build practical experience in real workplace contexts through work-integrated learning, mentoring and networking opportunities. Industry advisory boards also help shape our degrees, which means what you study is current, relevant and aligned to what your future employers need.
Deakin puts employability first
Career outcomes
Work across industries to lead data-driven transformation, drawing on technical and analytical skills including data visualisation and storytelling, predictive analytics, business intelligence and AI.
Business intelligence developer
Design, develop and maintain business intelligence solutions that transform data into meaningful insights. Create reports and dashboards, troubleshoot data issues and support informed business decisions.
- $130k
Typical Australian annual salary
- 4.2/5
Job satisfaction
Business intelligence analyst
Design and maintain reporting systems and dashboards, turning large volumes of business data into clear insights that support strategic decision-making.
- $115k
Typical Australian annual salary
- 23.2%
Projected job growth in 5 years
- 4.6/5
Job satisfaction
Other jobs
- Data engineer
- Artificial intelligence engineer
- Business data scientist
- Analytics project manager
- Risk and compliance analyst
- Data and AI governance consultant
“The Master of Business Analytics is designed for students passionate about data, analytics and solving real business problems. With a strong applied context grounded in industry best practices, our graduates are ready for careers in business intelligence, analytics, data governance or AI law.”
Dr Humza NaseerCourse Director
Stories that start here
Key dates
Direct applications
Trimester 3 2026 applications close 18 October 2026
Trimester 1 2027 applications close 7 February 2027
Download a course guide
Study at Deakin and be rewarded with new skills that will give you an edge in the job market
FAQs
A business analyst helps organisations use data, systems and process insights to improve decisions and performance. Deakin's Master of Business Analytics develops capability in analytics tools, business intelligence, decision modelling and machine learning, including core study in AI and machine learning applications for business. This supports pathways into analyst, insights, analytics consulting, business intelligence and increasingly AI-focused roles such as AI governance or business data science.
Yes, business analytics can be a valuable masters degree if you want to combine data skills with business decision-making. Deakin’s Master of Business Analytics develops analytics tools, decision modelling, data communication and business problem-solving, with professional pathways in analytics, insights, consulting and business intelligence across many sectors.
Salary outcomes depend on your role, sector and experience, rather than the degree alone. Master of Business Analytics can support progression into business analyst, analytics consultant, data analyst, insights manager or business intelligence roles.
Deakin's Master of Business Analytics includes technical learning where it is relevant to data, analytics, business intelligence, decision modelling and strategy, but the level depends on the units you choose and your entry background.
Business analytics focuses on using data to improve business decisions, while data science is usually broader and more technical, with deeper emphasis on programming, statistics and machine learning. Deakin’s Master of Business Analytics develops analytics tools, decision modelling and business communication for roles that connect data insights with organisational strategy.
*Deakin references data from a range of government, higher education and reputable media sources. Learn more about our achievements on our University rankings page, or explore our sources page for supporting references.
What will I study in the Master of Business Analytics?
The Master of Business Analytics at Deakin develops your ability to turn data into meaningful business insight. You will build core analytical, technical and data interpretation skills before progressing to advanced analytics, specialisation and applied practice.
Build core analytics capability
Learn data analysis fundamentals
Build capability in interpreting data, visualisation and core analytics techniques.
Develop technical and analytical skills
Apply tools and methods to extract insights and support business decision-making.
Understand business data contexts
Explore how data is used across organisations to drive strategy and performance.
Advance and apply analytics expertise
Extend into advanced analytics methods
Explore predictive analytics, machine learning, artificial intelligence and decision modelling in business contexts.
Tailor your analytics focus
Choose electives or specialisations aligned to your career goals and industry interests.
Apply analytics in practice
Work on real or simulated projects that translate data insights into actionable business outcomes.
Course structure
To complete the Master of Business Analytics, you must pass 8, 12 or 16 credit points. The number of credit points required may vary, depending on your entry point or how much credit you receive as recognition of prior learning (RPL) based on your professional experience and previous qualifications.
Most units are equal to one credit point. As a full-time student you will study four credit points per trimester and usually undertake two trimesters per year.
Are you a current student? For course information that applies to the year you started your degree, visit the handbook.
All students are required to meet the University's academic progress and conduct requirements
Units
To be completed in the first trimester of study:-
Mix and match Deakin stackable short courses (0.5 credit point microcredentials) to earn up to 1 credit point of open electives, subject to eligibility. Any stacking must add up to a whole number to be used for credit. For more information, visit the Deakin stackable short course options.
The remaining 4 credit points may be selected from:
Recommended electives^
a postgraduate business specialisation^^ or any business units not previously studied
any Level 7 MWL coded unit
postgraduate units offered by the University (subject to eligibility)
Deakin stackable short courses (0.5cp microcredentials)
^ Recommended electives:
- Any MIS7 coded unit
- Any MIT7 coded unit
- Any SIT7 coded unit
- Any MWL7 coded unit
^^Recommended specialisations:
Professional recognition
Deakin's Master of Business Analytics is accredited by the Australian Computer Society (ACS).Completion of this course grants eligibility for entry as a Professional member of the Australian Computer Society (ACS).
In order to meet ACS requirements for professional membership, students must satisfy the completion requirements for the whole degree. In addition, ACS guidelines require that the following specific units are completed at Deakin as part of this qualification: MIS771, MIS772, MIS780, MIS775, MIS774, MIS779.
Deakin Business School holds both AACSB and EQUIS accreditations. These prestigious accreditations are awarded to business schools that meet strict standards of quality, academic and professional excellence, and demonstrate a commitment to ongoing improvement and innovation in their courses, ensuring our graduates are employable worldwide.
What to expect while studying
You may be able to study available units in the optional third trimester to fast-track your degree, however your course duration may be extended if there are delays in meeting course requirements, such as completing a placement.
Units which contain work integrated learning, a community placement or interaction with the community may require a police check, working with children check or other check. These requirements will be detailed in unit guides upon enrolment.
You can expect to participate in a range of teaching activities each week. This could include lectures, seminars, online interactions, or professional experiences for Work Integrated Learning (WIL) units. You can refer to the individual unit details in the course structure for more information. You will also need to study and complete assessment tasks in your own time.
Units in this course may have participation requirements that include compulsory placements, work-based training, community-based learning or collaborative research training arrangements.
Placement can occur at any time, including during standard holiday breaks. Learn about key dates at Deakin.This course provides students the opportunity to complete one or more elective work integrated learning units.
Explore Business and Law WIL opportunities.
At Deakin, we're committed to ensuring an inclusive environment that supports all students to belong, thrive and succeed. We work closely with students, where needed, to identify potential barriers to participation and where possible, provide tailored support so students can engage with learning and assessment activities.
If you are neurodivergent, have a disability, health condition or mental health condition that may impact your study or participation in university life, and want to know how Deakin could support you, contact our Domestic students (opens in a new window) or International students (opens in a new window) or Disability Resource Centre (opens email client) teams for a collaborative and confidential discussion. This discussion is to support you to make plans for your studies and future career and will not have any bearing on your application to the course.
When can I start?
When you study depends on your course, location and available intakes. Check the table to see when you can start and how study is offered throughout the year.
Your course learning outcomes describe the knowledge, skills and capabilities you’ll develop and be able to demonstrate by the time you graduate. Built into your course through your units and assessments, they provide a clear picture of what you’ll be equipped to know, understand and do – preparing you to apply your learning with confidence beyond university.
| Course Learning Outcomes |
|---|
| Show a specialised and integrated understanding of 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 both specialists and non-specialists |
| Expertise in using business analytics technologies to independently source information, analyse complex business data and disseminate finding |
| 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 and critique own 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 in a global context |
- Award granted
- Master of Business Analytics
- Year
2027 course information
- Deakin code
- M761
- Level
- Higher Degree Coursework (Masters and Doctorates)
- Australian Qualifications Framework (AQF) recognition
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 9
Fees
Estimated tuition fee
$8,637
for 1 yr full-time - Commonwealth Supported Place (CSP)
The estimated tuition (student contribution) fee above is based on a typical first-year full-time enrolment of 8 credit points and is provided as a guide only. Your student contribution is determined by the units you enrol in and will vary depending on the units you choose, your study load, the course duration, and any approved recognition of prior learning. You may also be eligible for a HECS-HELP loan to defer payment of all or part of your student contribution.
Check your eligibility or learn more about CSP or HECS-HELP.
Scholarships
We want to help you excel at Deakin. Our scholarships recognise your dedication and achievements, providing financial support that can ease the cost of living and studying. With less pressure, you'll have more freedom to focus on what matters most – your education and future success.
Applications for 2027 are open
Ready to take the next step? Apply now to start your journey at Deakin and get ready for what’s next.
Key dates
Direct applications
Trimester 3 2026 applications close 18 October 2026
Trimester 1 2027 applications close 7 February 2027
Apply now
Apply direct
Simply create an account in the Deakin Application Portal, enter your personal and educational details, upload your supporting documents and submit your application.
Recognition of prior learning
We value your previous study and experience. Recognition of prior learning enables you to get credit for what you've already achieved. When you apply, we'll consider your previous study and experience for recognition of prior learning.
The University aims to provide students with as much credit as possible for approved prior study or informal learning. Students intending to gain professional membership of the Australian Computer Society (ACS) on the basis of their study of this program must complete the following units at Deakin and are unable to be granted credit on the basis of RPL for any of these: MIS771, MIS772, MIS780, MIS775, MIS774, MIS779. 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.
Alternate exits
- Graduate Certificate of Business Analytics (M561)
- Graduate Certificate of Information Systems (M522)
- Graduate Diploma of Business Analytics (M661)