Master of Business Analytics and AI Strategy

2 Years On Campus Masters Program

RMIT University

Program Overview

The Master of Business Analytics and AI Strategy at RMIT University is a two-year postgraduate program designed to develop advanced expertise in business analytics, artificial intelligence, and strategic decision-making. The program combines analytics, AI, data governance, digital strategy, and leadership with industry-focused projects, preparing graduates to lead data-driven transformation across diverse business environments.

Curriculum Structure

First Year
Students study Business Analytics, Predictive and Prescriptive Analytics, Visualising and Communicating Insights, Digital Strategy, AI and Analytics, Data Architecture, Ethics and Governance, and specialised analytics subjects. The year builds technical, analytical, and strategic skills.

Second Year
Students develop advanced leadership and AI strategy skills through Digital Disruption, AI Strategy for Business Transformation, Machine Learning for Business Professionals, and Analytics and AI in Practice. Industry projects strengthen practical application.

Focus Areas: Business Analytics, Artificial Intelligence, Predictive Analytics, Data Visualisation, Data Architecture, Data Governance, Machine Learning, Digital Strategy, AI Strategy, Business Transformation.

Learning Outcomes: Develop advanced analytics and AI skills, solve business problems using data, evaluate analytical solutions, manage stakeholders, and lead sustainable data and AI strategies.

Professional Alignment: Prepares graduates for careers as Business Analysts, Data Scientists, AI Strategists, Analytics Consultants, AI Product Managers, Data Engineers, and Digital Transformation Specialists.

Reputation (Employability): The industry-co-developed curriculum includes four work-integrated learning subjects, real or simulated industry projects, and an optional internship, supporting strong practical and professional skills.

Experiential Learning (Research, Projects, Internships etc.)

At RMIT University, the Master of Business Analytics and AI Strategy program is designed to provide students with hands-on experience that is essential for success in today’s data-driven business environment. You will have access to state-of-the-art facilities and tools that enhance your learning experience, allowing you to apply theoretical knowledge in practical settings. The program emphasizes experiential learning through various projects, internships, and collaborations with industry partners, ensuring that you graduate with the skills and confidence needed to excel in your career.

 

Here are some key aspects of the experiential learning opportunities available in this program:

- Industry Projects: Engage in real-world projects that allow you to work with businesses to solve actual problems using analytics and AI strategies.
- Internships: Gain valuable work experience through internships with leading companies, providing you with insights into the industry and enhancing your employability.
- Collaborative Learning: Participate in group projects that foster teamwork and communication skills, essential for any business environment.
- Access to Software: Utilize industry-standard software tools such as Python, R, Tableau, and SQL, which are integral to data analysis and AI strategy development.
- Research Facilities: Benefit from dedicated laboratories and research centers that focus on data analytics and AI, providing you with the resources to conduct in-depth studies.
- Field Trips: Experience learning outside the classroom with field trips to organizations that are at the forefront of business analytics and AI, giving you a firsthand look at how these concepts are applied in practice.
- Library Resources: Access extensive library resources, including databases and journals, to support your research and learning throughout the program.

These experiential learning opportunities are designed to ensure that you not only understand the theoretical aspects of business analytics and AI but also gain the practical skills that employers are looking for.

Progression & Future Opportunities

Graduates of the Master of Business Analytics and AI Strategy at RMIT University are well-equipped to thrive in a rapidly evolving job market. With a strong foundation in data analysis and strategic decision-making, you can expect to pursue roles such as Data Analyst, Business Intelligence Consultant, and AI Strategy Manager. The demand for professionals in these areas is growing, making this program a valuable investment in your future:

 

- University Services: RMIT offers dedicated career services, including resume workshops, interview preparation, and networking events with industry leaders, ensuring you are well-prepared for the job market.
- Employment Stats and Salary Figures: According to RMIT's latest graduate outcomes report, 85% of graduates find employment within four months of completing their degree, with starting salaries averaging around AUD 80,000.
- University–Industry Partnerships: RMIT has established strong partnerships with leading companies such as IBM and Deloitte, providing students with opportunities for internships, real-world projects, and networking.
- Long-term Accreditation Value: The program is accredited by professional bodies, ensuring that your qualification is recognized and respected in the industry, enhancing your employability.
- Graduation Outcomes: Alumni of this program have gone on to work in diverse sectors, including finance, healthcare, and technology, showcasing the versatility of the skills gained.

Further Academic Progression: After completing the Master of Business Analytics and AI Strategy, you may choose to further your studies by pursuing a PhD in Business Analytics or a related field. This path can open doors to academic positions, advanced research opportunities, or specialized roles in high-level consultancy. Additionally, you could explore professional certifications in data science or AI, which can further enhance your expertise and career prospects.

Program Key Stats

$50,880
$38,400
$0

Febr Intake : 1st NovJuly Intake : 1st Apr


No

Eligibility Criteria

2.5 - 3
3 or 4 Years

NA
NA
NA
6.5
79
2:2
NA

Additional Information & Requirements

Country Requirements

Career Options

  • AI or Machine Learning Architect
  • Analytics or AI Product Manager
  • Analytics and AI Strategist
  • Business Analyst
  • Data/Analytics/AI Consultant
  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Digital Transformation Specialist
  • Marketing Analyst
  • Project Manager
  • Sustainability Analyst
  • Workforce Management Analyst

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