COURSE CURRICULUM

The Master of Mathematical Sciences (Data Science) at the University of Wollongong is a 96-credit-point postgraduate program designed to develop advanced skills in data analysis, statistical modelling, and computational techniques for solving real-world problems. The program begins with a compulsory 6-credit-point subject, Research Methods (MATH907), which prepares students for postgraduate study by strengthening research design, analytical thinking, and academic writing skills. The remaining 90 credit points are flexible, allowing students to either follow structured major study options or specialise in Data Science through MAJ44263. The Data Science major focuses on equipping students with the ability to design, manage, and analyse large and complex datasets using modern statistical and computational tools. It emphasizes extracting meaningful insights from data and applying them to practical decision-making across industries such as business, finance, healthcare, government, and technology. Students develop strong skills in data manipulation, statistical modelling, machine learning foundations, and data interpretation, along with the ability to communicate findings clearly to technical and non-technical audiences. The program also strengthens problem-solving, critical thinking, and programming-related competencies required in today’s data-driven world. A key component is the capstone experience, either through a research project or coursework-based study, allowing students to apply their knowledge to real-world or academic problems. Overall, the degree prepares graduates for careers in data science, analytics, research, and technology-focused industries.