Masters degrees in Computational Physics involve advanced study and implementation of numerical analysis to solve problems in Physics through current quantitative theory.
Related subjects include Theoretical & Computational Methods, and Nuclear Technology. Entry requirements normally include an undergraduate degree in a relevant field such as Computer Science, Mathematics or Physics.
While Physics may be used to predict many natural phenomena, it cannot always determine these systems precisely, and relies on approximations. This is where computational methods come in.
Computational Physics was the first application of modern computers in science, and as such has a long and storied history, with a great number of current research opportunities. Through computational methods, you will develop algorithms that approximate solutions as well as errors.
Training primarily concerns techniques in quantitative theory from various theorists in the fields of Physics and Mathematics, including Isaac Newton, Joseph Raphson, Carl David Tolmé Runge and Martin Wilhelm Kutta.
Careers in this field include roles in the engineering industries, such as automotives, aerospace, and civil engineering. For example, you might assess fluid dynamics, or predict the soundness of a structure. Other applications include environmental regulation and renewable energy.