Adelaide University
Master of Business Analytics
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 24 months
- Course Type: Master's
Develop your expertise across predictive modelling and data visualisations while considering ethical practice.
Course overview
Learn to extract insights using artificial intelligence and chatbots, preparing you for the modern business environment. Build core business knowledge that transcends industries and roles, making you a versatile asset in any business context. Your expertise in analytics, along with your understanding of key business principles, will form the dynamic skillset companies are looking for. Graduate ready to progress your career to a senior position or kickstart your business journey.
This degree will build your knowledge in a range of business disciplines while developing advanced skills in analytics. Explore fundamental business principles in economics, accounting and finance. Then learn the higher-level concepts and tools essential to proficiency in business analytics, including managing big data, data visualisation, predictive analytics and text analytics.
The curriculum includes industry-related projects to sharpen your research and analytical skills. Graduate with sophisticated problem-solving and decision-making abilities, equipped for dynamic careers in business and management.
Key facts
What you will study
Students must complete 96 units comprising:
- 42 units for all core courses
- 30 units from discipline courses
- 24 units for electives
Each course is worth six units.
Complete 42 units for all of the following:
- Accounting Concepts and Methods
- Principles of Finance
- Business Statistics
- Economic Principles
- Predictive and Visual Analytics
- Chatbots and Text Analytics for Business
- Managing with Big Data Analytics
Entry requirements
Admission criteria
To be eligible, an applicant must have achieved at least one of the following minimum entry requirements and demonstrate that they fulfil any essential criteria for admission. In cases where there are more eligible applicants than available places, admission will be competitive with ranks based on the entry criteria.
- A completed bachelor's (AQF level 7) or bachelor's honours (AQF level 8) degree or equivalent from a recognised higher education institution; OR
- A completed nested or related graduate certificate (AQF level 8) or higher or equivalent from a recognised higher education institution.
Recognition of Prior Learning
You may be able to get credit for your course based on prior formal, non-formal or informal learning. To apply, you will need to provide supporting documentation outlined by the university. Contact the university for more information.
Outcomes
- Gain the skills to make impactful decisions to help businesses achieve their goals.
- You’ll build foundational business knowledge applicable to various career settings.
- Explore core concepts in economics, accounting and modern finance operations.
- Learn about the advanced analytical tools used in business. Acquire essential data skills.
- Study advanced predictive modelling techniques and learn how to use conversational AI to extract insights.
- Through industry-related projects, you’ll solve open-ended business problems and learn to communicate professionally using data-driven insights and solutions.
Fees and FEE-HELP
Indicative annual fee in 2026: $43,100 (domestic full-fee paying place).
All costs are calculated using current rates and are based on a study load of 48 units (normally eight courses) per year.
A student’s annual fee may vary in accordance with:
- The number of courses studied per term.
- The choice of major or specialisation.
- Choice of courses.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
You may also need to pay the student services and amenities fee.
Student fees shown are subject to change. Contact the university directly to confirm.
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university program.