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RMIT's Bachelor of Data Science equips students with expertise in data analytics, statistics, computer science, machine learning, programming, mathematics, and data management, preparing them to play pivotal roles in business decisions, corporate strategies, and government initiatives. The program fosters critical problem-solving abilities and teaches effective communication techniques for both technical and general audiences, teamwork skills, and the integration of ethical and legal principles into projects.
Through state-of-the-art tools, students master techniques for processing and interpreting vast datasets from diverse sources. The curriculum provides practical training in Python and R programming. Tailor your studies to align with professional goals by choosing from various majors and specializations, including advanced data science, cybersecurity, or enterprise systems, with focus areas like AI, data analytics, cloud technologies, mixed reality, software engineering, and blockchain.
Build professional networks and gain real-world experience through integrated learning opportunities such as capstone projects, case analyses, and programming workshops.
Industry experts helped design this data science program and continue advising on curriculum updates to ensure graduate readiness and employer requirements are met. Learn from accomplished researchers and industry-connected faculty, including visiting lecturers and practitioners. The work-integrated learning (WIL) component allows students to apply their knowledge in actual or simulated work environments while receiving professional feedback. WIL options include industry-sponsored capstone projects where students implement data science solutions, along with specialized case study courses featuring evaluations from practicing data scientists.