国际学生入学条件
Transcripts from all colleges or universities attended are required. Transcripts may be sent directly from the
Registrar of the institution you attended or transcripts issued directly to the applicant, and so marked, are
acceptable, and can be submitted online following the electronic submission process. If you attended Caltech as
an undergraduate, you must request an official transcript from the Office of the Registrar. We cannot obtain one
on your behalf.
Attach a CV or resume that includes the following, if applicable:
1) Teaching, professional, and vocational experience (include military service, but omit summer or part-time
work not relevant to your professional goals)
2) Research experience
3) Major academic recognitions, honors, and memberships in scientific, professional and honorary societies
4) Professional activities
5) Significant extracurricular activities
6) Conference presentations
7) Titles of publications,major papers, or theses authored or co-authored, if published provide citation. Do not
upload the entire document as the admissions committee often does not have the time to read a large file.
It is preferred that you either list or provide links or a URL where publications can be located.
Caltech does not have a minimum GPA requirement. However, most successful applicants have a US GPA of at least 3.5 on a 4.0 scale and/or are in the top 5 to 10% of their class.
GPA's should only be reported for those schools attended within the United States. International GPA's or rankings should not converted to the standard US grade point average.
Applicants who have studied in the US for two or more years
Applicants with a degree from a college or university whose primary instruction is in English
Please note that regardless of any documentation of English proficiency submitted as part of the admissions process, all non-native English speakers who have not attended a school where English is the primary language of instruction will be screened prior to enrollment and may be required to take additional English as a Second Language (ESL) courses.
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
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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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