数学哲学博士-统计
Doctor of Philosophy in Mathematics with a Specialization in Statistics

学历文凭
Ph.D.

专业院系
统计

开学时间

课程时长

课程学费

国际学生入学条件
For admission to the graduate programs, a Bachelor's degree in Mathematics is recommended or a strong background in mathematics with a minimum GPA of 3.0 required. A year's sequence in both upper-division algebra and real analysis is strongly encouraged. The minimum required overall score for the TOEFL is 85 for the Internet based test (iBT) or 550 for the paper based test (PBT). The minimum required overall score for the IELTS is Band Score 7. Please note that the Math Department looks critically at the speaking scores for these tests. A TOEFL speaking score of at least 23 is highly recommended, and an IELTS speaking score of 7 is highly recommended
IDP—雅思考试联合主办方

雅思考试总分
7.0
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- 雅思总分:7
- 托福网考总分:85
- 托福笔试总分:550
- 其他语言考试:The minimum PTE Academic score required for graduate admission is Overall Score: 65.
CRICOS代码:
申请截止日期:请 与IDP联系 以获取详细信息。
课程简介
博士 数学专业的统计学专业,旨在为学生提供扎实的统计理论和方法论培训,这些理论和方法论将广泛应用于科学研究的各个领域,包括自然科学,生物医学和社会科学以及工程,金融,商业管理和政府规章。它旨在培养未来学术界和工业界的统计研究人员,他们将随着计算能力的快速增长,高通量技术和数字数据采集技术的爆炸式增长,满足对新的统计理论和方法的巨大需求。 。
The Ph.D. in Mathematics, with a Specialization in Statistics is designed to provide a student with solid training in statistical theory and methodology that find broad application in various areas of scientific research including natural, biomedical and social sciences, as well as engineering, finance, business management and government regulations. It aims to produce future researchers in contemporary statistics, both in academia and industry, who will contribute to satisfy the tremendous need for new statistics theory and methodology following the rapid growth of computing power, high throughput technology, and the explosion of digital data acquisition technologies.
The Ph.D. in Mathematics, with a Specialization in Statistics is designed to provide a student with solid training in statistical theory and methodology that find broad application in various areas of scientific research including natural, biomedical and social sciences, as well as engineering, finance, business management and government regulations. It aims to produce future researchers in contemporary statistics, both in academia and industry, who will contribute to satisfy the tremendous need for new statistics theory and methodology following the rapid growth of computing power, high throughput technology, and the explosion of digital data acquisition technologies.
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校园授课-线上开始

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学校排名
世界排名
30
数据源:泰晤士高等教育世界大学排名
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