Bachelor of Computer Science/Master of Data Science

The four-year double degree is structured to provide a progressive combination of computer science, data science, and emerging technology skills. In Year 1, students develop foundational knowledge through subjects covering ethical innovation, Python programming for data science, logic and algebra, calculus, data structures and algorithms, professional practice, and an elective. Year 2 strengthens technical capabilities through data and information management, data science and machine learning, cybersecurity, programming concepts, operating systems, computer networks, community engagement, and an elective. In Year 3, students focus on business data analysis, cloud computing, network security, and software engineering through a two-part information technology project, alongside core curriculum requirements and an elective. These subjects provide practical experience in project management, software development, secure technologies, and cloud-based systems. In Year 4, the program transitions into advanced Data Science studies, covering data wrangling, machine learning fundamentals, statistical modelling, data analytics, visualisation, predictive analytics, data mining, and deep learning. Students also complete research and implementation projects, allowing them to apply their knowledge to practical data science challenges. Overall, the curriculum combines programming, mathematics, cybersecurity, software engineering, cloud computing, analytics, artificial intelligence, and research, preparing graduates with both technical and professional skills for careers in data science, computer science, AI, cybersecurity, and related technology fields.