Master of Business Analytics
2025 Deakin University Handbook
| Year | 2026 course information |
|---|---|
| Award granted | Master of Business Analytics |
| Deakin course code | M761 |
| Course Credit Points | 16 |
| Course version | 1 |
| Faculty | Faculty of Business and Law |
| Course Information | For students who commenced from 2016 onwards |
| Campus | Offered at Burwood (Melbourne), Online |
| Online | Yes |
| Duration | Depending on your professional experience and previous qualifications, the Master of Business Analytics is typically 1, 1.5 or 2 years duration.
Deakin courses can also be studied part-time over a longer period. |
| Course Map - enrolment planning tool | This course map is for new students commencing from Trimester 1 2026 Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser in Student Central. |
| CRICOS code | 088856B Burwood (Melbourne) |
| Australian Qualifications Framework (AQF) recognition | The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 9 |
Course sub-headings
- Course overview
- Indicative student workload
- Professional recognition
- Career opportunities
- Participation requirements
- Mandatory student checks
- Alternative exits
- Course Learning Outcomes
- Course rules
- Course structure
- Work experience
- Other learning experiences
- Research and research-related study
- Fees and charges
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.
Indicative student 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.
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).
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.
Career opportunities
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.
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.
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.
Alternative exits
| Graduate Certificate of Business Analytics (M561) | |
| Graduate Certificate of Information Systems (M522) | |
| Graduate Diploma of Business Analytics (M661) |
Course Learning Outcomes
| 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 |
Course rules
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:
- DAI001 Academic Integrity and Respect at Deakin (0-credit-point compulsory unit) in your first study period
- 11 credit points of core units
- 1 credit point from course elective units
- 4 credit points of open elective units.
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.
Students are required to meet the University's academic progress and conduct requirements.
Course structure
Compulsory 0-credit point module
To be completed in the first trimester of study:-
| DAI001 | Academic Integrity and Respect at Deakin |
Core units
| MIS770 | Foundation Skills in Data Analysis |
| MIS781 | Business Intelligence and Database |
| MIS782 | Value of Information |
| MIS771 | Descriptive Analytics and Visualisation |
| MIS772 | Predictive Analytics |
| MIS774 | Enterprise Data Management |
| MIS775 | Decision Modelling for Business Analytics |
| MIS710 | Machine Learning in Business |
| MIS780 | Advanced Artificial Intelligence for Business |
| MIS761 | Cyber Security Strategies |
| MIS779 | Decision Analytics in Practice (Capstone) |
Course electives
1 credit point from course elective units:
| MIS714 | People Analytics |
| MIS784 | Marketing Analytics |
| SIT719 | Analytics for Security and Privacy |
Open electives
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:
Artificial intelligence for business
Stackable short courses
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.
Work experience
This course provides students the opportunity to complete one or more elective work integrated learning units.
Explore Business and Law WIL opportunities.
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.
Other learning experiences
This course includes the option of other learning experiences including residential and study tour units.
Research and research-related study
Research-related learning tasks are embedded across units where student achievement is demonstrated in specific assessment tasks.
Fees and charges
Tuition fees will vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study, your study load and/or unit discipline.
Your tuition fees will increase annually at the start of each calendar year. All fees quoted are in Australian dollars ($AUD) and do not include additional costs such as textbooks, computer equipment or software, other equipment, mandatory checks, travel, consumables and other costs.
For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current students website.
Further information
Contact Student Central for assistance in course planning, choosing the right units and explaining course rules and requirements. Student Central can also provide information for a wide range of services at Deakin. To help you understand the University vocabulary, please refer to our Enrolment codes and terminology page.