The Master of Business Analytics and AI Strategy program offers a highly interactive and immersive learning experience. Subjects are designed around RMIT's signature Active, Applied, and Authentic (AAA) pedagogy, and aligned with RMIT Capabilities to ensure you build the skills employers are looking for.

Classes are delivered in diverse formats that encourage hands-on learning, collaboration, and meaningful engagement with lecturers, industry professionals, and your peers. As an on-campus student, you'll have access to dynamic learning environments, including collaborative spaces that support practical, real-world application of your knowledge.

 You'll benefit from:

• In-person learning guided by experienced academic and industry experts
• Opportunities to network and collaborate with fellow students on group projects and case studies
• Guest lectures, panel discussions, and on-campus events that connect you to industry insights

This course also provides flexible, on-demand content, including readings, videos, and digital materials, so you can prepare before class and engage more actively during in-person sessions.

Depending on the subject, assessments may include essays, reports, presentations, group projects, research tasks, practical assignments, blog journals, quizzes, and exams.

As part of the course, you’ll complete 4 Work-Integrated Learning (WIL) subjects, where you'll work on real or simulated industry projects to apply your academic knowledge in practical contexts. These subjects are:

• Visualising and Communicating Insights in Business: A project-based subject focused on presenting business insights effectively.
• Data Architecture, Ethics and Governance: Delivered in a simulated workplace environment, giving you hands-on experience with real-world data governance challenges.
• Machine Learning for Business Professionals: A project-based subject where you’ll apply machine learning techniques to business scenarios.
• Analytics and AI in Practice:  A capstone and research subject that brings together your learning to solve an industry challenge in a WIL setting.

You'll also have the opportunity to undertake an internship through the Postgraduate Business Internship elective. This allows you to gain academic credit while working with an organisation of your choice for one semester.

RMIT's College of Business and Law has a dedicated WIL team that supports you in enrolling in internship subjects and actively sources new internship opportunities, ensuring you're well-prepared to enter the workforce with real experience.

Throughout your studies in the Master of Business Analytics and AI Strategy, you will learn and apply the critical thinking, research and communication skills required of senior DSA leaders. You will gain knowledge of the strategic, analytical and technological influences on data teams and technology, and develop the decision-making capabilities needed to manage people, teams and technology to maximise the value of data sets through activity-based learning.

On successful completion of this course, you will be to able identify and balance business priorities and leverage analysis to create data-driven findings. You will utilise relationship management strategies to manage stakeholder expectations, and demonstrate leadership in designing sustainable enterprise business architecture solutions for data management, including governance, storage, processing, analytics and visualisation.

You will use evidence-based, research-informed approaches to evaluate, select and justify analysis solutions, and define, assess and evaluate business problems to articulate analytical needs and create relevant solutions.

The Master of Business Analytics and AI Strategy consists of 12 core subjects across 4 stages, including a capstone project and 4 electives. You can tailor your degree by either choosing one of 5 available minors: Accounting for Commerce, Digital Transformation, Sustainable Enterprise, Project Management, or Supply Chain Automation or by selecting 4 elective subjects from a curated list.

Stage A

In your first stage, you'll build a strong foundation through subjects such as Business Analytics, Predictive and Prescriptive Analytics in Business, Visualising and Communicating Insights in Business, and Digital Strategy. These subjects will equip you with essential analytical and strategic skills to prepare you for the next stage.

Stage B

At this stage, you'll deepen your expertise with subjects such as AI and Analytics for Business Applications, Data Architecture, Ethics and Governance, Foundations of People Analytics, and Financial Analytics for Managerial Decisions. These subjects will help you develop practical, in-demand skills in AI, data governance, and analytics for decision-making.

Stage C

You'll explore leadership and strategy through subjects such as Leading in the Age of Digital Disruption and AI Strategy for Business Transformation. You’ll also study 2 additional subjects, either from your chosen minor or from the elective list, giving you the opportunity to personalise your learning pathway.

Stage D

In your final stage, you’ll complete your capstone experience with subjects such as Machine Learning for Business Professionals and Analytics and AI in Practice. You'll also study 2 additional subjects, either from your minor (to complete your minor requirements) or from the elective list, depending on the path you’ve chosen to graduate with.