Computational science - 2018

Computational science is the construction and application of mathematical models, simulation, numerical methods and data analysis techniques to solve scientific problems using computers. It is highly relevant to all scientific study as computational techniques, algorithms and data visualisation are now deeply ingrained in aspects of all sciences. This scope ranges from understanding the interactions of sub-atomic particles through to our understanding of the processes that shape stars and galaxies, from the molecular basis of life, through to the processes that govern outbreaks of epidemics, the sustainability of ecosystems and the dynamics of the biosphere. No area of cutting edge science today is conducted without the assistance of computational science techniques. Computational science at Monash leads students from the theoretical and practical fundamentals of computer science and algorithmic problem solving, to advanced programming techniques, 3D computer graphics, visualisation and intelligent systems.

Monash is the only Group of Eight university with a dedicated IT faculty. In computer science and information systems, Monash is consistently ranked amongst the top universities worldwide by international rankings. You will 'learn by doing', using cutting-edge technology in collaborative studio environments. You will learn to think creatively and analytically, from some of the world's best academics in the field.

Computational science is now fundamental to all science disciplines. Gaining expertise in this field will enhance any student's job prospects and career potential in biological, physical, mathematical and biomedical science, and in the sciences related to the earth, atmosphere and environment. Computational science skills also have the potential to facilitate students moving into new discipline areas such as the humanities and creative arts where computational techniques are becoming increasingly relevant in fields such as social science, archaeology, architecture, music, and visual art.

Availability

Computational science is listed in S2000 Bachelor of Science, S3001 Bachelor of Science Advanced - Global Challenges (Honours) and S3002 Bachelor of Science Advanced - Research (Honours) at Clayton as a major, extended major or minor.

The computational science minor, major and extended major are not available in the double degree course S2004 Bachelor of Science and Bachelor of Computer Science.

Outcomes

In addition to achieving the broad outcomes of their course, students successfully completing this major or extended major will be able to:

• demonstrate understanding of the theoretical basis of computer science and a knowledge of computational problem solving strategies
• demonstrate the ability to systematically analyse scientific problems, then develop, design and analyse algorithms to solve them
• implement substantial pieces of efficient software to solve computational problems.