Key facts

Duration

The time and cost can be reduced based on your previous qualifications and professional experience. This means you can fast track the masters degree from 2 years down to 1.5 years. See entry requirements below for more information.

Locations

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’re looking 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 an integral part of 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 that are in demand in both the private and public sectors, where a wide variety of 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.

Want to become an expert at using analytics tools to solve business challenges?

Working alongside expert academics, you will explore topics including 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 individual needs.

Key dates

Direct applications to Deakin for Trimester 2 2026 close 21 June 2026

Direct applications to Deakin for Trimester 3 2026 close 18 October 2026

Current Deakin students

To access your official course details for the year you started your degree, please visit the handbook

Award granted
Master of Business Analytics
Year

2026 course information

Deakin code
M761
CRICOS code?Commonwealth Register of Institutions and Courses for Overseas Students
088856B Burwood (Melbourne)
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

Flexible course delivery

Deakin’s blend of online and on-campus learning means you can balance work, study and personal development. Achieve work-life balance – study with Deakin's dedicated support and flexible learning options.

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.

A 16-credit point Master of Business Analytics includes:

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.

All students are required to meet the University's academic progress and conduct requirements.

11
Core units
+
5
Elective units
=
16
Total units
Foundation Skills in Data Analysis
Business Intelligence and Database
Value of Information
Descriptive Analytics and Visualisation
Predictive Analytics
Enterprise Data Management
Decision Modelling for Business Analytics
Machine Learning in Business
Advanced Artificial Intelligence for Business
Cyber Security Strategies
Decision Analytics in Practice (Capstone)

Intakes by location

The availability of a course varies across locations and intakes. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Check each intake for up-to-date information on when and where you can commence your studies.

  • Start date: March
  • Available at:
    • Burwood (Melbourne)
    • Online
  • Start date: July
  • Available at:
    • Burwood (Melbourne)
    • Online
  • Start date: November
  • Available at:
    • Burwood (Melbourne)
    • Online

Course duration

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.

Mandatory student checks

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.

Workload

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.

Participation requirements

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.

Reasonable adjustments to participation and other course requirements will be made for students with a disability. More information available at Disability support services.

Work experience

This course provides students the opportunity to complete one or more elective work integrated learning units.

Explore Business and Law WIL opportunities.

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.

Depending on your professional experience and previous qualifications, you may commence this course with admission credit and complete your course in 1 year full-time (or part-time equivalent).

1.5 years full-time (or part-time equivalent) - 12 credit points 

To be considered for admission to this degree (with 4 credit points of admission credit applied*) you will need to meet at least one of the following criteria:

  • completion of a bachelor degree or higher in a related discipline
  • completion of a bachelor 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 degree or higher in any discipline.

Examples of related disciplines include, but not limited to:  a bachelor degree in information systems, information technology, computer science, mathematics and/or statistics, or a bachelor degree in any discipline with a specialisation (major/minor) in information systems/ information technology/ mathematics/ statistics.

Examples of relevant work experience include, but not limited to: roles focused on data-driven decision-making and analytics. Ideally post-graduation, this could include positions in data analytics, business intelligence, consulting, information systems, data science, operations research, or fields like financial, marketing, cybersecurity or supply chain analytics. Roles in project or product management, or business strategy with a strong emphasis on data analysis, are also relevant. Experience with analytics tools, platforms, or processes to support organisational decision-making is highly valuable.

*Recognition of prior learning will still be considered on a case-by-case basis. Learn more below.

Learn more about Deakin courses and how we compare to other universities when it comes to the quality of our teaching and learning.

Not sure if you can get into Deakin postgraduate study? Postgraduate study doesn’t have to be a balancing act; we provide flexible course entry and exit options based on your desired career outcomes and the time you are able to commit to your study.

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.

Fees and scholarships

Fee information

Estimated tuition fee - full-fee paying place

$32,800 for 1 yr full-time - Full-fee paying place
Learn more about fees and your options for paying.

Estimated tuition fee - (CSP) ?Enrolling in a Commonwealth Supported Place (CSP) means the Australian Government pays part of your course fees directly to Deakin, and you pay a 'student contribution'.

$8,337 for 1 yr full-time - Commonwealth Supported Place (HECS)

Learn more about fees.

The available fee places for this course are detailed above.

Tuition fees are determined by your enrolment:

The 'Estimated tuition fee' is provided as a guide only and represents the typical tuition fees for students completing this course within the same year they started. The cost will vary depending on the units you choose, your study load, the length of your course and any approved Recognition of prior learning you have.

One year full-time study load is typically represented by eight credit points of study. Each unit you enrol in has a credit point value. The 'Estimated tuition fee' is calculated by adding together eight credit points of a typical combination of units for your course. You can find the credit point value of each unit under the Unit Description by searching for the unit in the handbook.

Learn more about fees and available payment options.

Higher Education Loan Program

Take the next step towards your ultimate degree with a Higher Education Loan Program (HELP) loan to help pay your tuition fees.

You may be eligible for a HELP loan - including FEE-HELP or HECS-HELP - depending on your course, type of fee place, and your citizenship or residency status. Check your eligibility and learn more about Government HELP loans.

Scholarship options

A Deakin scholarship can open the door to new opportunities. Whether you have something unique to offer or simply need a bit of extra support to reach your goals, we’re here to help. Scholarships can assist with course fees, living costs and study materials – so you can focus on achieving your best. Explore the range of opportunities and find the right fit for you.

Search or browse through our scholarships

Postgraduate bursary

We love welcoming Deakin alumni back to continue their journey with us. If you're starting a postgraduate award course, you may be eligible for a 10% discount on your enrolment fees, applied per unit. It's our way of supporting your next step.

Learn more about the 10% Deakin alumni discount

Apply now

Apply directly to Deakin

To apply, create an account in the Deakin Application Portal, enter your personal details and education experience, upload supporting documents and submit. Need help? Play this video, or contact one of our friendly future student advisers on 1800 693 888 or submit an online enquiry.

APPLY THROUGH DEAKIN

Need more information on how to apply?

For more information on the application process and closing dates, see the How to apply webpage. If you're still having problems, please contact us for assistance.

Pathways

Alternate exits

Career outcomes

As a graduate of the Master of Business Analytics, you will be equipped to lead data-driven transformation and uncover strategic insights across business functions. With technical, managerial, and analytical expertise, you will be prepared for roles across sectors such as finance, retail, health, government, and tech.

 Career opportunities include:

  •  business intelligence analyst

  • business data scientist

  • analytics project manager

  • data Analyst

  • market research analyst

  • customer experience analyst

  • risk and compliance analyst

  • data and Analytics Consultant

  • business Intelligence Developer

  • data Engineer

Demand for skilled business analytics professionals continues to grow, with employers seeking talent that can bridge the gap between data science and commercial strategy.

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.

Deakin's graduate learning outcomes describe the knowledge and capabilities graduates can demonstrate at the completion of their course. These outcomes mean that regardless of the Deakin course you undertake, you can rest assured your degree will teach you the skills and professional attributes that employers value. They'll set you up to learn and work effectively in the future.

Deakin Graduate Learning Outcomes Course Learning Outcomes
Discipline-specific knowledge and capabilities Show a specialised and integrated understanding of contemporary body of knowledge of business analytics to research, design and implement projects with creativity and initiative
Communication Interpret specialised knowledge and effectively communicate complex business analytics findings to both specialists and non-specialists
Digital literacy Expertise in using business analytics technologies to independently source information, analyse complex business data and disseminate finding
Critical thinking Evaluate complex business information using specialised and advanced critical and analytical thinking and judgement
Problem solving Use research skills and analytics techniques to interpret data, analyse business environments, and develop advanced solutions for authentic (real world and ill-defined) problems
Self-management Show autonomy, adaptability and responsibility, self- reflect and critique own performance and identify and plan future development as a business analytics professional
Teamwork Collaborate constructively in teams to produce and share specialised and integrated analytic solutions to complex business problems
Global citizenship Engage ethically and productively in a business analytics professional context with diverse communities and cultures in a global context

*Deakin references data from a range of government, higher education and reputable media sources. For more information, visit our University rankings page.

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