Master of Business Analytics
2026 Deakin University Handbook
| Year | 2026 course information |
|---|---|
| Award granted | Master of Business Analytics |
| Course Credit Points | 16 |
| Deakin course code | M761A |
| Course version | 1 |
| Faculty | Faculty of Business and Law |
| Course Information | For GIFT City (India) students who commenced from 2024 onwards |
| Campus | |
| Duration | 18 months continuous study comprising 16 credit points of units (equivalent to 2 years full-time study load) |
| Course Map - enrolment planning tool | This course map is for new students commencing from Trimester 2 2026 Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser in Student Central. |
| Australian Qualifications Framework (AQF) recognition | The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 9 |
| Supplementary Information | This course is delivered at our GIFT City campus, India. It is only available to applicants for study at GIFT City. This course is not available to international students studying onshore at campuses in Australia or as Online students. |
Course sub-headings
- Course overview
- Professional recognition
- Career opportunities
- Course Learning Outcomes
- Course rules
- Course structure
- 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.
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:
- business intelligence analyst
- business systems analyst
- market research analyst
- statistician
- business data scientist
- analytics project manager.
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 GIFT City campus you must pass 16 credit points. This 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.
Note:
- The course is 1.5 years of full-time (continuous) study
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:
- Course electives not previously studied
- Recommended electives^
- Postgraduate units offered by the University (subject to availability)*
- Deakin stackable short courses (0.5cp microcredentials)
^Please refer to the GIFT City Student Central team for the most up-to-date list of faculty recommended electives.
*Refer to the faculty-wide specialisation list for thematic grouping of business units
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.
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 when you commenced this course and your study load.
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.