Department of Mathematical and Geospatial Sciences

The RMIT Department of Mathematical and Geospatial Sciences is a globally recognised leader in advancing knowledge and innovation in mathematics, statistics, surveying, and geospatial sciences. We equip students with the analytical and technical skills to solve complex real-world challenges, from environmental sustainability, modelling of complex systems, urban informatics to AI-driven decision-making.  

Our specialised educational and research programs blend theoretical and applied knowledge with industry practice, preparing graduates for careers in data analytics, operations research, information security, environmental modelling, geospatial intelligence, surveying, infrastructure planning, and spatial data science – supporting industries from finance and technology to environmental management, climate change impact, and urban development.  

Students engage in practical, project-based learning in state-of-the-art facilities, gaining valuable skills through research collaborations, real-world case studies, and industry placements. 

Through strong partnerships with government and industry, we drive impactful research in: optimisation and operations research, mathematical and statistical modelling, cyber mathematics, Earth Observation, sustainable urban development, next-generation spatial data analytics, positioning and navigation – equipping students to lead in a world increasingly shaped by data driven decision making and spatial intelligence. Students actively contribute to this research ecosystem, gaining hands-on experience and industry insights that enhance employability and foster innovation. 

The Department of Mathematical and Geospatial Sciences has long-standing partnerships with over twenty governmental and private enterprises, driving research collaboration on critical problems facing these sectors. 

Taught by leading academics and industry experts, our programs emphasize hands-on learning with cutting-edge technology, including the use of modern computational tools and large-scale datasets. Students gain practical experience through project-based learning, industry placements, and real-world case studies, preparing them to address complex challenges in areas such as environmental sustainability, urban development, industrial problem-solving, and data-driven decision-making. 

Our research explores innovative solutions to real-world problems, from shaping future cities and advancing environmental management to developing new analytical and computational methods for complex industrial and societal challenges. By combining theoretical insight with applied practice, our researchers drive innovation across mathematics, statistics, geospatial sciences, and data analytics, producing outcomes that impact industry, government, and communities worldwide. We address both new technical and theoretical challenges as well as practical difficulties facing decision makers.