Master of Computational Modelling

What is this course about?

The Master of Computational Modelling is a Master degree by research drawing on the resources of the School of Computing and Mathematics and the International Centre of Water for Food Security.

This course is suited to individuals with an interest in mathematical aspects of modelling, statistics, spatial science, hydrology or information technology.

Examples of research conducted at CSU in these areas include:

• farm and regional scale integrated hydrologic economic and salinity modelling using complex approaches such as control theory, genetic algorithms, space state reduction and socio-economic integration
• surface-groundwater interaction and quality management and modelling
• GIS and remote sensing applications in spatial hydrology
• hydrological modelling and database development
• environmental law and economics integration for sustainable development.

The aims of this course are to provide a grounding in the theory and techniques of computational modelling, and produce graduates capable of successfully completing research which results in a distinct contribution to knowledge.

Upon completion of the course, graduates will be able to:

• solve ordinary and partial differential equations using various methods
• write computer programs and / or use software to solve problems
• appreciate the utility and limitations of numerical solutions
• identify various types of errors inherent in all experimental data and numerical calculations
• use numerical algorithms to deal with a wide range of problems ranging from the computation of theoretical solutions to the practical analysis of experimental data
• apply techniques of computational modelling to real-world problems.

As with all our courses, the Master of Computational Modelling is designed and delivered with study flexibility in mind. You can choose between full-time and part-time study options to fit in with work and lifestyle commitments. You could choose to study just one subject in an academic session or, with approval, fast-track degree completion by undertaking four subjects per session.

Flexible offering

This course is available by distance education and on campus, and is offered across a two-session academic year with sessions commencing in February and July.

The Master of Computational Modelling has a minimum full-time duration of four sessions, however actual duration is dependent on subject availability and the session of commencement.