国际学生入学条件
Applicants must have completed a bachelor's degree or the equivalent before beginning graduate study. Applicants who already hold a Ph.D. degree will not be considered for a second Ph.D. degree. Transcripts from each college or university attended, three letters of recommendation, a CV, and the applicant's statement of purpose are required components of the application and are carefully and equally weighed during the evaluation process.
There is no minimum requirement for the English proficiency exams. However, all new students who have had limited instruction in English will participate in a one-on-one English evaluation with the ESL instructor during Orientation and may be asked to enroll in an English as a Second Language (ESL) course.
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雅思考试总分
6.0
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雅思考试指南
- 雅思总分:6
- 托福网考总分:60
- 托福笔试总分:160
- 其他语言考试:NA
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
加州理工学院的计算与数学科学系提供跨学科的研究生课程,涉及应用数学和计算数学,并获得博士学位。学位。该计划旨在为学生提供有关基础计算和应用数学的全面培训,并提高他们在特定应用领域中的研究能力。应用领域包括流体力学,材料科学和数学生物学,工程应用,图像处理和数学金融等广泛领域。完成对博士学位的要求后,将为将来在学术界,国家实验室或工业界应用数学领域的职业提供必不可少的培训。应用数学和计算数学学位。应用数学和计算数学系的研究领域和兴趣涵盖广泛,包括非线性动力学,计算生物学,数值分析和科学计算,计算和理论流体力
Caltech's Computing & Mathematical Sciences department offers an interdisciplinary program of graduate study in applied and computational mathematics leading to the Ph.D. degree. This program is designed to give students a thorough training in fundamental computational and applied mathematics and to develop their research ability in a specific application field. The fields of application include a wide range of areas such as fluid mechanics, materials science, and mathematical biology, engineering applications, image processing, and mathematical finance. The training essential for future careers in applied mathematics in academia, national laboratories, or in industry is provided by completion of the requirements for a Ph.D. degree in applied and computational mathematics.<br><br>The research areas and interests of the applied and computational mathematics faculty cover a broad spectrum, including nonlinear dynamics, computational biology, numerical analysis and scientific computing, computational and theoretical fluid mechanics, theoretical materials science, multiscale computations and homogenization theory, computational methods for electromagnetics and acoustics, statistics, signal and image processing, probability theory and stochastic analysis, and dynamical systems and geometric mechanics. As reflected by the faculty research activities, there is a strong emphasis on computational methods for solving challenging problems arising from engineering and scientific applications.
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