The master of science in applied mathematics offers advanced courses in applied mathematics that prepare students for a career as a professional mathematician in, for example, industrial environments where specialized PhD training is not required.<br><br>The program is designed for students who want a background in basic applied math skills. The core courses cover key material that is beyond the undergraduate level to improve students' skills and form a foundation for a career in applied mathematics. Students typically take four classes per quarter to complete the twelve-course requirement in three quarters. <br><br>The basic classes focus on both analytical and computational methods in applied mathematics. Our computational sequence of courses will give the student the necessary training to move into positions in industry requiring advanced knowledge of computational methods for partial differential methods, stochastic differential equations, and modern methods in parallel computing. <br><br>Our program emphasizes techniques associated with asymptotic analysis, bifurcation theory, dynamical systems, numerical analysis, ordinary and partial differential equations, singular perturbations, stability theory, and stochastic processes. These techniques are employed to address problems arising in science and engineering including fluid mechanics, microbiology, neurobiology, ecology, geophysics, materials, diffusion processes, fiber optics, interfacial phenomena, pattern formation, solid mechanics, solidification theory, wave phenomena, and social sciences.