Master of Mathematical Modelling - Taught 180 points

At present, mathematical modelling is enjoying a high degree of public awareness, with real-world applications such as COVID-19 and climate modelling frequently appearing in the news. The Master of Mathematical Modelling will expose students to a broad range of realistic modelling techniques and provide them with expertise in advanced computational tools as well as fundamental knowledge of the underlying theoretical principles and assumptions. This programme is available with both 120- and 180-point pathways. It comprises core Engineering Science and Mathematics courses, and a broad range of electives. Students will also complete a research project worth 45 points. You will be competent in interdisciplinary mathematical modelling and familiar with advanced computational techniques and methodologies. You may take up specialist roles in industrial R&D departments, government advice offices and quantitative forecasting.

You must have completed either:One year of postgraduate study, following an undergraduate degree, in a relevant subject, with a GPE of 4.0.An undergraduate degree from a recognized institution in a relevant subject, with a GPE of 4.0, and three years of relevant professional experience.You must have completed an introductory programming course in MATLAB, C, Python, or similar coding language, and an advanced undergraduate course on partial differential equations, or the equivalents as approved by the Programme Director.Relevant subjects include analytics, applied mathematics, artificial intelligence, computer science, data science, engineering, operations research, physics, software engineering, structural engineering, electrical engineering, statistics, or technology.If you do not meet the GPE requirement, you can still gain entry by passing 60 points towards the Postgraduate Certificate in Math Modelling, or the Postgraduate Diploma in Math Modelling, with a GPA of 4.0.