COURSE CURRICULUM

The Data Modelling and Analytics specialisation within the Master of Data Science at La Trobe University is designed to provide students with advanced analytical skills and practical knowledge required to manage, interpret, and extract meaningful insights from complex datasets. As part of the 240-credit-point program, students begin with core data science subjects including Data Exploration and Analysis, Database Fundamentals, Introduction to Programming, Mathematics for Data Science, and Probability and Statistics for Data Science. These subjects establish strong foundations in programming, data management, mathematical modelling, and statistical analysis. Students then complete 30 credit points from the Data Modelling and Analytics specialisation and 15 credit points of electives, enabling them to develop expertise in advanced analytical techniques and data-driven problem-solving. In the second level, students undertake core subjects in Big Data Management on the Cloud and Professional Practices and Entrepreneurship in Information Technology, along with further specialisation study. The final 60 credit points are completed through a selected learning pathway, including a Statistics Thesis, Computer Science Thesis, Computer Science Industry Project, Statistics Industry-Based Learning, or Computer Science Industry-Based Learning. These pathways provide opportunities for research, industry projects, applied learning, and professional experience. This comprehensive structure equips graduates with the ability to design data models, analyse complex information, apply statistical methods, and develop innovative solutions for industries that increasingly rely on data-driven decision-making and advanced analytics.