Applied mathematics aims to solve problems in sciences, engineering, economics, or medicine. Fundamental methods originate with classical figures such as Newton, Euler, Lagrange, Gauss and other giants. Modern areas of applied math include areas such as mathematical physics, mathematical biology, control theory, aerospace engineering, optimal planning, and mathematical finance. Applied mathematicians might discover new problems which could become subjects of pure math, or which develop to become a new engineering discipline.
The study of applied math requires expertise in many areas of mathematics and science, physical intuition and common sense, as well as collaboration skills. It allows for many approaches to a problem, a choice of objectives, and a variety of methods.
At York the research of applied mathematicians covers areas such as digital signal and image processing, dynamical systems, mathematical biology and neural networks, computational electromagnetism, computational fluid dynamics, gene expression studies, bioinformatics, mathematical epidemiology, mathematical immunology, exploratory and predictive statistical tools, industrial mathematics to name just a few.
The MSc in Applied and Industrial Mathematics is a natural route to further studies. PhD studies can be pursued through the PhD program in Mathematics.