Master of Business Analytics
2025 Deakin University Handbook
| Year | 2025 course information |
|---|---|
| Award granted | Master of Business Analytics |
| Deakin course code | M761 |
| Faculty | Faculty of Business and Law |
| Campus | Offered at Burwood (Melbourne) |
| 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 2025. Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser in Student Central. |
| CRICOS course 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
- Specialisations
- Course structure
- Work experience
- Other learning experiences
- Research and research-related study
- Fees and charges
Course overview
There is high demand for business-minded data experts who have both the technical expertise and business knowledge to guide effective use of data and analytics for solving business problems. 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.
Want to become an expert at using analytics tools to solve business challenges?
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 and course partners, including IBM, Microsoft, Altis Consulting, Deloitte, Ernst & Young, PBT Group and PwC. You will get hands-on experience with a range of 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 academics who are experts in their field, you will cover areas 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 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 Deakin Master of Business Analytics graduate, you will develop a broad set of business analytic skills that are highly sought after in every industry sector, particularly within professional services firms and government. There are many career paths you could take, including:
- analytics project manager
- business data scientist
- business intelligence analyst
- business systems analyst
- market research analyst
- statistician.
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 students must pass 16 credit points and meet the following course rules to be eligible to graduate:
- DAI001 Academic Integrity and Respect at Deakin (0-credit-point compulsory unit) in their first study period
- 11 credit points of core units
- 1 credit point from course elective units
- 4 credit points of open elective units
Students are required to meet the University's academic progress and conduct requirements. See the enrolment codes and terminology to help make sense of the University’s vocabulary.
Specialisations
Faculty-wide specialisations
Refer to the details of each specialisation for availability.
- Applied Research*
- Accounting
- Artificial Intelligence for Business
- Arts and Cultural Industries*
- Business Law*
- Cyberlaw*
- Digital Finance
- Digital Transformation
- Event Management
- Finance
- Financial Planning
- Human Resource Management
- Information Systems
- International Trade and Business
- Leadership
- Management Consulting
- Marketing
- Marketing Technology
- Professional Practice
- Project Management
- Property and Real Estate
- Public Sector Studies*
- Supply Chain Management
*Offered to students who commenced in 2023 or prior.
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 |
| MIS775 | Decision Modelling for Business Analytics |
| MIS710 | Machine Learning in Business |
| SIT718 | Real World Analytics |
| MIS780 | Advanced Artificial Intelligence for Business |
| MIS761 | Cyber Security Strategies |
| MIS779 | Decision Analytics in Practice (Capstone) |
Course elective units
1 credit point from course elective units:
| MIS714 | People Analytics |
| MIS784 | Marketing Analytics |
| SIT719 | Analytics for Security and Privacy |
Open elective units
The remaining 4 credit points may be selected from:
- Recommended electives^
- a faculty-wide specialisation
- 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
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
Course duration may be affected by delays in completing course requirements, such as failing of units or accessing or completing placements.
Further information
Student Central can help you with course planning, choosing the right units and explaining course rules and requirements.
- Contact Student Central
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
Fees and charges vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study, and their study discipline or your study load.
Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.
For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current students website.