国际学生入学条件
All official Transcripts. A bachelor's degree or its foreign equivalent from an accredited college or university. The Master of Arts (M.A.) degree is normally an incidental degree on the way to full Ph.D. candidacy and is earned after a student successfully: (a) passed the first proposition and successfully defended it orally before a committee of faculty members.. It may also be awarded to students who, for various reasons, leave the Ph.D. program, provided that these requirements have been met.
Applicants are required to upload a transcript (may be unofficial at this time) including the key from all attended colleges or universities.The transcript must show the name of the student, name of the issuing institution, name of courses taken, and the grades received in those courses.
The Graduate School does not have a minimum TOEFL or IELTS score requirement. If you are offered admission and accept our offer and have scored below a 27 on the Speaking sub-section of the TOEFL iBT or below an 8.0 on the Speaking sub-section of the IELTS you will be required to take an English placement test at the start of the fall term. Students who do not pass the test will be required to enroll in English Language Program classes.
General Test required
ADDITIONAL DEPARTMENTAL REQUIREMENTS:
Please briefly describe how your academic interests, background, or life experiences would promote Princeton's commitment to diversity and inclusion within the Graduate School and to training individuals in an increasingly diverse society. Please submit a succinct statement of no more than 250 words.
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雅思考试总分
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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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申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
Theoretical and computational science and engineering are important components of research in the department. The continuing advances in computational capabilities have made it possible to study phenomena in unprecedented detail, over large length scales and long timescales. Princeton University has an active research-computing community that provides advanced hardware and software capabilities and educational opportunities for students and researchers at all levels. Computational statistical mechanics plays a key role within the department is, typically done through classical Monte Carlo or molecular-dynamics simulations of proteins, complex fluids, polymers, or colloidal particles, frequently under non-equilibrium conditions. Another focus area for theoretical and computational work involves quantum mechanical calculations (density functional theory and ab initio molecular dynamics). These are used to predict electronic properties of catalysts and to generate accurate force fields for use in larger-scale (classical) calculations. Machine learning and other big-data methods play an increasingly important role in this area. In both classical and quantum calculations, at Princeton we strive to develop new theoretical methods and efficient computational algorithms, which are then shared with the broader research community as open-source software.
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