Applied Mathematics is the study of applied partial differential equations, dynamical systems, mathematical biology, mathematical finance, and numerical analysis.

Real world applications have steered research in mathematics for centuries, and at McMaster applications involving differential equations are a central theme of active research. There are research groups in Applied Partial Differential Equation (nonlinear optics, phase boundary motion in materials, superconductivity, viscous flow, and water waves), Dynamical Systems (KAM theorems, bifurcation theory), Mathematical Biology (population ecology, epidemiology, neural networks), Mathematical Finance, and Numerical Analysis (wavelets and spectral methods).

Nonlinear partial differential equations, mathematical physics

Epidemiology, ecology, applied statistics, Mixed models, environmental science

Epidemiology, ecology, evolutionary game theory

Applied mathematics, turbulent fluid flow, wavelet methods

Partial differential equations, nonlinear optics, solitons

Applied mathematics, fluids & turbulence

Dynamical systems, bifurcation theory, population dynamics, mathematical ecology and epidemiology