国际学生入学条件
In addition to departmental admission requirements, applicants must also meet the university requirements for admission described in the ''Graduate Education'' section of the General Catalog.
Admission is available for the MA, MA/Ph.D., and Ph.D. programs. A candidate for admission must fulfill the scholarship requirements for graduate study and have had undergraduate coursework equivalent to PSTAT 120A-B-C (Probability and Statistics), Math 108A (linear algebra) and a basic computer science course.
completed an undergraduate or graduate degree at an institution whose primary language of instruction is English. The minimum score for consideration is 550 when taking the paper-based TOEFL, or 80 when taking the internet-based test, some departments require a higher score. Applicants must make arrangements to take the TOEFL directly with ETS (www.ets.org). Scores should be reported to UCSB using institution code 4835. TOEFL scores must be no more than two years old at the time of application submission. UCSB also considers a minimal score of 7 on the IELTS as an alternative to the TOEFL. IELTS scores must be no more than two years old at the time of application submission
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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:80
- 托福笔试总分:550
- 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
The Department of Statistics and Applied Probability is dedicated to the following:<br><br>The coordination and consolidation of statistics courses on the UCSB campus, together with the other departments involved in statistical teaching,<br>The extension and improvement of the graduate program in statistics and applied probability,<br>The formalization and broadening of the existing Statistical Consulting Laboratory, and<br>The encouragement of research activities, in part through the implementation of an active colloquium series and visitors program<br>The major research areas of our department can be divided into theoretical statistics and statistical methodology, applied statistics, and probability. Our faculty members are actively engaged in interdisciplinary research in such areas as mathematics, computer science, biostatistics, environmental sciences, and financial mathematics and statistics. These dynamic interactions with researchers in other disciplines are both personal, through joint projects supported by the NSF, NIH, and other government agencies, and through the activities of the Statistical Consulting Laboratory situated in the Department.
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