国际学生入学条件
The GRE is no longer required Statistical Science MS and PhD applications You are welcome to submit your official scores but please note the inclusion of your official GRE score will not be a deciding factor for admission
GPA minimum 3.0
Letters of Recommendation 3
Transcripts
A cumulative or overall GPA of 3.0 on a 4-point scale in the last two years of undergraduate education. This should be displayed on your official academic records.
Unofficial transcripts are accepted for the application process Upload your unofficial transcripts in the online application Official copies are not currently required for the application only for accepting an offer of admission however we reserve the right to change this requirement at any time.
A bachelor's degree or its equivalent from an accredited university awarded conferred prior to the quarter in which admission is sought.
Applicants with a three-year undergraduate degree must also hold a post graduate diploma Masters-Degree or a higher degree.
Internet-based TOEFL minimum acceptable scores.
89 for applicants to the Applied Mathematics Biomolecular Engineering and Bioinformatics Computational Media Computer Science and Engineering Electrical and Computer Engineering Natural Language Processing and Statistical Sciences programs.
83 for applicants to the Human Computer Interaction program
83 for all other programs.
Other TOEFL minimum acceptable scores.
Computer-based 230.
IELTS, a minimum overall score of 7 from the IELTS test is required for admission.
Paper based 570.
TOEFL or IELTS International Only
Personal History Statement
Statement of Purpose
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雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:89
- 托福笔试总分:570
- 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
统计科学课程的学生将学习开发和使用统计方法,以对不同数据结构中的变异性进行概率评估。这些知识可用于量化从数据分析中得出的发现,摘要和结论中固有的不确定性。博士 该程序精通统计理论和方法的基本概念,以及分析和计算技能,以建立现代统计模型,实施这些模型并有效地传达其结果。通过学习这些技能的过程,学生可以培养进行独立研究的能力。MS程序具有自己的标识。它着重于将统计方法应用于相关科学,技术和工程问题的解决方案,目的是为学生提供职业发展的准备。有关申请过程的问题,请直接联系研究生顾问Lisa Slater。有
Students in the Statistical Science program learn to develop and use statistical methods to provide a probabilistic assessment of the variability in different data structures. This knowledge is applied to the quantification of the uncertainties inherent in the discoveries, summaries, and conclusions that are drawn from the data analysis. The Ph.D. program provides mastery of fundamental concepts in statistical theory and methods, as well as analytical and computational skills to build modern statistical models, implement them, and effectively communicate their results. Through the process of learning these skills, the students develop the ability to conduct independent research. The M.S. program has its own identity, placing emphasis on the application of statistical methods to the solution of relevant scientific, technological and engineering problems, with the goal of preparing students for professional careers. An accelerated B.S./M.S. (41) pathway is available for UCSC undergraduate students. Questions regarding the application process can be directed to the Graduate Advisor. Questions regarding the Statistical Science curriculum and research by Statistics faculty can be directed to the Graduate Director.
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