应用数学和统计及科学计算哲学博士-应用数学

应用数学集中训练能够通过应用严格的数学分析来增强他们对广泛的科学现象的理解的人员。预期至少需要完成一半的工作是在主要具有数学内容的课程中进行的，其余课程必须适用于学生所选应用领域中普通数学课程之外的领域。目前，研究生在以下领域进行研究：气象学，流体动力学，算法开发，模式识别，运筹学，数学金融，计算动力学，结构力学，数学生物学以及系统和控制理论。其他研究领域可通过参与部门获得。所有学生都必须在其学习计划中包括数值分析或科学计算课程。
The interdisciplinary program in Applied Mathematics & Statistics, and Scientific Computation (AMSC) offers graduate study leading to Master of Science and Doctor of Philosophy degrees with concentrations in applied mathematics, applied statistics, and scientific computation. It also offers a Certificate in Scientific Computation to graduate students enrolled in other university Ph.D. programs. The faculty is drawn from departments throughout the university. Possible areas of application include the physical, chemical, biological, and social sciences, and engineering. The program receives substantial support from the Department of Mathematics (MATH), the Center for Scientific Computation and Mathematical Modeling (CSCAMM), and the Institute for Physical Science and Technology (IPST). AMSC offers a spectrum of courses at the forefront of computation and applications, as well as state-of-the-art computational, visualization and networking facilities.<br><br>The Concentration in Applied Mathematics trains individuals who are able to enhance their understanding of a wide spectrum of scientific phenomena through the application of rigorous mathematical analysis. At least half of the required work is expected to be in courses with primarily mathematical content, the remaining courses must apply to a field outside of the usual mathematics curriculum in the student's chosen area of application. Graduate students currently pursue studies in the applications areas such as meteorology, fluid dynamics, algorithm development, pattern recognition, operations research, mathematical finance, computational dynamics, structural mechanics, mathematical biology, and systems and control theory. Other areas of study are available through participating departments. All students must include numerical analysis or scientific computing courses in their program of study.