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Master of Business Analytics and AI Strategy Online
Connect data, analytics and AI to unlock better business solutions.
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Benefit from RMIT Online's practical and industry-based perspective
Gain technical and communication skills infused with RMIT's excellence in technology, design and innovation.
Gain influence at the executive level
Learn to engage and influence executive stakeholders and to advocate for the value of data, analytics and AI across organisations.
Be in demand as the link between data, analytics, AI and business strategy
This unique, first-to-market program will give you the highly sought-after technical and communication skills to lead analytics-centred teams and/or functions to drive business solutions.
Successful business strategies rely on understanding data and analytics, with AI playing an increasingly pivotal role.
However, not everyone is “AI-literate,” and without leaders who can translate data and AI insights into business value, even the most capable teams may struggle to gain traction with executives or drive innovation.
What’s needed is a rare type of leader who can blend business acumen, technical and communication skills, advocate for data, analytics and AI at the executive level and drive digital strategy.
RMIT Online’s Master of Business Analytics and AI Strategy is designed to address this gap, empowering professionals to become AI and data-literate leaders who can integrate cutting-edge analytics with business strategy.
12
Courses*
(7 weeks each)
Subject to eligibility
(7 weeks each)
Subject to eligibility
2 years part-time*
Subject to eligibility
Subject to eligibility
Jan, Mar, May, July, Aug, Oct
$4,440 per course, FEE-HELP available**
Program code: MC274KP25
*If you do not meet the entry requirements for the 12 course master's, you may have the opportunity to enrol in a 16 course master's. Please see Entry Requirements or contact us for further details.
**Plus a capped Student Services and Amenities Fee (SSAF) based on your credit point enrolment load.
The RMIT Online Master of Business Analytics and AI Strategy program consists of:
• 12 core courses (12 course master's).
• 12 core courses + 4 courses from a minor or 4 courses from an optional list
Flexible entry and exit points
Our Master of Business Analytics and AI Strategy encompass a Graduate Certificate in Business Analytics and a Graduate Diploma in Business Analytics and AI Strategy (exit point only). Should you need to exit the program early, you can still earn a postgraduate qualification by successfully completing specified courses.
One of our Student Enrolment Advisors can provide more infomation and discuss your individual circumstances.
*If you do not meet the entry requirements for the 12 course master's, you may have the opportunity to enrol in a 16 course master's. See entry requirements for more details.
Graduate Certificate
4 Courses
or continue studying
Master's (12 courses)*
+8 Courses
with advanced standing
JAN
INTAKE
MAR
INTAKE
MAY
INTAKE
JULY
INTAKE
AUG
INTAKE
OCT
INTAKE
RMIT Online postgraduate students must meet minimum academic requirements, and international students must have a proficient level of English. You can find more details below.
Academic requirements
English language requirements
Recognition of Prior Learning
12 course Master of Business Analytics and AI Strategy
- An Australian Bachelor degree (AQF 7) or equivalent from a recognised tertiary institution in Business*.
OR
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An Australian Graduate Certificate, Graduate Diploma or Master’s degree or equivalent in Business OR IT OR Engineering (or a related discipline).
OR
- Successful completion of the RMIT Graduate Certificate in Business Analytics**.
We offer Recognition of Prior Learning, or the recognition of previous study or learning. This means you can apply for credit and reduce the number of courses you need to complete. Your application will be decided on a case-by-case basis. Speak to our Enrolment Advisors to find out more.
If you do not meet the entry requirements for the 12 course master's, you may have the opportunity to enrol in a 16 course master's.
16 course Master of Business Analytics and AI Strategy
- An Australian Bachelor degree or equivalent in any non-business discipline.
*If your qualification was completed more than 10 years ago, you will need to provide evidence of ongoing professional work and/or professional development in the same discipline as the program for which you are seeking entry.
**Upon successful completion of the graduate certificate, you will have the opportunity to progress to the master's degree.
International students are required to provide current evidence of English language proficiency for admission to RMIT University. For detailed information on English language requirements and other proficiency tests recognised by RMIT visit the English language requirements and equivalency information.
Australian Student Visas
RMIT's online Master of Business Analytics and AI Strategy does not meet Australian student visa requirements. For an Australian student visa, you must have an on-campus place in a program of study. For more details on RMIT's on-campus programs, visit rmit.edu.au.
Recognition of Prior Learning
RMIT assesses each student’s prior learning and qualifications to grant credit so you can complete your online postgraduate degree sooner. Your application will be decided on a case-by-case basis. RMIT aims to grant as much credit as possible at the time of offer, so it’s important to provide as much evidence of prior study and work experience as possible with your application.
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Our comprehensive program guides provide more detailed information about our online programs, including:
- Eligibility and enrolment
- Program duration and fees
- How to manage your studies and work life
- Program entry and exit pathways
Ask a question
Speak with one of our Enrolment Advisors to ask questions about your future study:
- Determining which program is for you
- Understanding how online study works
- How to apply and enrol
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Definitely not. Our program focuses more on wider group of functionalities and industries and hence, does not require people to have a background in programming or computer science. For example, we recently had a group of nurses studying with us.
We focus on teaching Python and R as these are widely accepted and used programming languages and cover a wider range of execution and industries.
Yes, the program will cover and is supported by Power BI and Tableau.
No, students of RMIT will be provided with free access to all required software and tools.
A major in business analytics and AI combines analytical thinking with the use of data and machine learning to help organisations make informed decisions and solve complex problems. These fields are widely used in industries ranging from finance and healthcare to marketing and supply chain, as companies increasingly rely on data‑driven insights to guide strategy and operations. Roles that blend analytics and AI often require both technical skills (like data interpretation and model understanding) and business acumen to translate insights into action.
For example, the Master of Business Analytics and AI Strategy at RMIT University is structured to help students integrate analytics, AI and strategic thinking in real‑world business contexts. It’s designed for professionals aiming to bridge the gap between technical teams and business decision‑makers, preparing graduates to influence data‑driven strategies in organisations.
Salaries for AI business analysts tend to be competitive, reflecting the combination of technical, analytical and strategic skills required for these roles. Professionals with expertise in both business analytics and AI are often well‑positioned for advancement, as organisations increasingly seek people who can translate complex data insights into actionable business decisions.
Completing a program like RMIT University’s Master of Business Analytics and AI Strategy can help you build the skills employers look for in AI and analytics roles, improving your career prospects and potential for progression in data-driven positions.
In short: completing the Master of Business Analytics and AI Strategy program could help you secure a role that earns more than the typical business-analysis position, especially if you aim for senior or specialist responsibilities.
AI and automation are changing the nature of work across many fields, including analytics. Rather than fully replacing analytics jobs, AI tools are more likely to augment and transform them - automating repetitive tasks (e.g., data cleaning or simple reporting) while increasing demand for skills that involve interpreting, contextualising and communicating complex insights. Roles that combine human judgment, domain knowledge, and ethical considerations are generally less susceptible to full automation.
Leadership and strategic communication skills remain important in analytics and AI functions, something emphasised in courses like RMIT’s Master of Business Analytics and AI Strategy, which prepares professionals to use AI responsibly and translate data insights into business value.
To become an AI business analyst, focus on building a mix of skills across data analytics, business strategy, and an understanding of AI technologies and their business applications. Useful steps include:
- Learning key tools and methods such as data visualisation, statistics, machine learning basics and business intelligence software.
- Gaining experience in translating data insights into actionable business recommendations.
- Developing communication skills to work effectively with both technical teams and business stakeholders.
- Pursuing formal education or certifications that combine analytics and AI concepts.
Programs like the Master of Business Analytics and AI Strategy at RMIT are designed to teach these blended skills, helping learners apply analytics and AI in business settings and advocating for data‑driven strategy.
A common example of AI in business analytics is predictive modelling, where AI algorithms analyse historical data to forecast future trends, such as customer behaviour, sales forecasting or churn prediction. These AI‑driven insights help businesses proactively optimise strategies and resources.
Another example is natural language processing (NLP) to analyse customer feedback at scale, providing insights into sentiment and common themes that inform marketing or product decisions. Courses like RMIT’s Master of Business Analytics and AI Strategy include components that help students understand how to apply AI techniques practically in business contexts.
To apply AI in business analysis effectively:
- Define the business problem you want AI to address (e.g., forecasting demand).
- Collect and prepare relevant data that informs that problem.
- Select appropriate AI methods (e.g., machine learning, NLP) that align with the data and goals.
- Train, test and evaluate models for accuracy and business relevance.
- Translate insights into recommendations that decision‑makers can act upon.
- Monitor and refine models as conditions change.
Business analytics and AI education, such as offered by the Master of Business Analytics and AI Strategy, can build these technical and strategic application skills.
There isn’t a single “best” country for AI masters programs; the right choice depends on your goals, budget, language preference and industry focus. Countries known for strong AI and tech ecosystems include the United States, United Kingdom, Canada, Australia and Germany, with many universities emphasising AI research, industry links and job pathways.
Australia’s universities, including programs like the Master of Business Analytics and AI Strategy, are recognised for blending business perspective with data and AI skills, and can be particularly appealing if you want a global qualification with industry relevance.
AI‑related skills and jobs are in demand in Australia, particularly in roles that combine analytics, data strategy and business transformation. Emerging job data shows significant interest from organisations hiring for analytics and AI skills, especially in major innovation hubs such as Sydney, Melbourne, Brisbane and Perth.
However, demand varies by industry and company size, so building a mix of technical, strategic and communication capabilities, such as those developed in a program like the Master of Business Analytics and AI Strategy at RMIT, can help you stand out in the job market.
Yes, AI adoption across business functions continues to grow as companies look to improve efficiency, enhance customer experiences and drive innovation. AI is now used in areas like predictive analytics, automation, customer segmentation and strategic planning.
Deloitte and other industry reports highlight that roles requiring core AI expertise have increased substantially over the past decade, indicating broad demand across sectors.
Programs like RMIT’s Master of Business Analytics and AI Strategy focus on how to strategically apply AI in business environments - preparing professionals to lead and support these evolving needs.
Business analytics continues to be a high‑demand area because organisations of all sizes rely on data to inform decisions and strategy. Australian job trend data shows growth potential in analytics roles, with many employers seeking professionals who can interpret data and communicate insights effectively. growth potential in analytics roles, with many employers seeking professionals who can interpret data and communicate insights effectively.
Earning a qualification that covers both analytics and AI, such as RMIT’s Master of Business Analytics and AI Strategy, can help you build the skills that many employers value, from technical competence to strategic influence.
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Find more detailed information on our
Download a program guide
Find more detailed information on our
programs, including:
- Program fees
- Career pathways
- Course descriptions
- Workload and tips
- Academic profiles