The Master of Analytics at RMIT University is designed for individuals looking to harness the power of data to drive decision-making in various industries. This program is ideal for those with a passion for data analysis, whether you're coming from a technical background or seeking to pivot into analytics from another field.
Curriculum Structure
In the first year, students will dive into foundational concepts of analytics through courses such as "Data Analytics" and "Statistical Methods for Business." These units equip students with essential skills in data manipulation and statistical analysis, setting the stage for more advanced topics.
As students progress into the second year, they will explore more specialized areas, including "Predictive Analytics" and "Data Visualization." This year focuses on applying analytical techniques to real-world problems, enhancing students' ability to interpret complex data and communicate insights effectively.
Focus Areas: Data analysis, predictive modeling, data visualization, big data technologies, business intelligence.
Learning Outcomes: Proficiency in data manipulation, statistical analysis, predictive analytics, and effective communication of insights.
Professional Alignment (Accreditation): The program is aligned with industry standards and is recognized by professional bodies, ensuring that the curriculum meets the needs of employers.
Reputation (Employability Rankings): RMIT University consistently ranks highly in employability, with QS World University Rankings placing it among the top institutions for graduate employment.
At RMIT University, the Master of Analytics program is designed to provide students with a robust blend of theoretical knowledge and practical skills that are essential in today’s data-driven world. Students engage in hands-on learning experiences that prepare them for real-world challenges in analytics. The program leverages state-of-the-art facilities and tools, ensuring that you not only learn the concepts but also apply them in practical settings.
Here are some key aspects of the experiential learning opportunities available in the Master of Analytics program:
- Industry-Standard Software: Gain proficiency in leading analytics tools such as R, Python, Tableau, and SQL, which are widely used in the industry.
- Group Projects: Collaborate with peers on real-world projects that simulate industry scenarios, enhancing teamwork and problem-solving skills.
- Internship Opportunities: Benefit from connections with industry partners that may lead to internships, providing invaluable work experience and networking opportunities.
- Access to Research Laboratories: Utilize dedicated labs equipped with advanced technology for data analysis and research, fostering an environment of innovation.
- Field Trips: Participate in excursions to local businesses and organizations, allowing you to see analytics in action and understand its impact on various sectors.
- Libraries and Learning Resources: Access extensive library resources and databases that support your research and learning needs.
- Collaboration with Institutes: Engage with RMIT’s various research institutes, which focus on analytics and data science, providing additional learning and networking opportunities.
The Master of Analytics at RMIT University equips graduates with the skills and knowledge to excel in a rapidly evolving data-driven landscape. With a strong focus on practical experience and industry relevance, graduates can pursue exciting roles such as Data Analyst, Business Intelligence Consultant, and Data Scientist. The demand for analytics professionals continues to grow, making this program a strategic choice for your career.
Here’s what you can expect in terms of progression and future opportunities:
- 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: Graduates of the Master of Analytics have a high employment rate, with many securing roles within six months of graduation. The average salary for analytics professionals in Australia can range from AUD 80,000 to AUD 120,000, depending on experience and role.
- University–Industry Partnerships: RMIT has strong connections with leading companies such as IBM, Deloitte, and ANZ, providing students with opportunities for internships, projects, and real-world case studies that enhance learning and employability.
- Long-term Accreditation Value: The program is accredited by the Australian Computer Society (ACS), ensuring that your qualification is recognized and valued in the industry, which can significantly enhance your career prospects.
- Graduation Outcomes: RMIT graduates are known for their practical skills and industry readiness, with many finding positions in top-tier companies and organizations.
Further Academic Progression: After completing the Master of Analytics, you may choose to further your studies by pursuing a PhD in Data Science or a related field. This can open doors to advanced research opportunities, teaching positions at universities, or high-level consultancy roles in the analytics domain. Additionally, you could explore specialized certifications in areas like machine learning or artificial intelligence to further enhance your expertise and career trajectory.



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