Deakin ranks in the top 250 universities worldwide
Globally recognised Australian degree in India
In-demand postgraduate skills for a global workforce
Why choose business analytics at Deakin
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.
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World-class Australian degree
Experience a world class Australian postgraduate education and earn a globally recognised degree while studying in India.
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Industry-informed curriculum
Course is designed in consultation with leading global technology companies and governments, ensuring you graduate ready to work in this rapidly growing industry.
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Industry-connected learning at GIFT City
Studying in India’s global financial and innovation hub gives you practical exposure to the industries shaping the future of business and technology.
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Career readiness built into every course
Deakin's career support services and long-standing global partnerships provide students with internship opportunities and career pathways in India and beyond.
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
*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 GIFT City campus, 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.
You can also choose to study available units in the optional third trimester to fast-track your degree.
Note:
- The course is 1.5 years of full-time (continuous) study
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:
- 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
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.
When can I start?
This course commences in Trimester 2 ( July) only. It is available to commence at the Deakin GIFT City campus in India.
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.
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
- M761A
- Australian Qualifications Framework (AQF) recognition
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 9
Apply now
Apply directly to Deakin
Applications can be made directly to the University through StudyLink Connect - Deakin University's International Student Application Service.
We recommend engaging with a Deakin Authorised Agent who can assist you with the process and submit the 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.