统计与应用概率论哲学博士

Doctor of Philosophy in Statistics and Applied Probability

加州大学圣塔芭芭拉分校

University of California Santa Barbara

美国

学历文凭
Ph.D.
专业院系
Department of Statistics and Applied Probability
开学时间
课程时长
课程学费
学费可能有所更新，
请与您的顾问联系
获取最新信息

国际学生入学条件

To be considered for admission to UCSB, applicants must have received a bachelor’s degree or its equivalent (with a cumulative grade point average of 3.0 or better) from an accredited university prior to the quarter for which admission is sought.

TOEFL scores 550 Paper-Based Test (PBT), 80 Internet-Based Test (IBT) or IELTS (International English Language Testing System) Overall Band score of 7 or higher (if applicable).

PhD application (for Fall quarter start only): December 15 (priority funding deadline). To be considered for campus-wide fellowship competitions, applications must be submitted by December 15.

展开

IDP—雅思考试联合主办方
雅思考试总分
7.0

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：Duolingo English Test total score of 120, or higher

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

我们的统计学和应用概率博士课程为研究生培养了扩展统计学理论和实践领域的界限，以用于现实世界中的问题解决。毕业生接受过学术或行业职业培训，他们致力于新方法和新技术并为之做出贡献。该程序对统计和概率进行严格的数学培训，可用于开发适用于金融，环境科学，计算机科学和生物医学等广泛学科领域的实际方法。最近的论文已写在平滑样条，空间统计，微阵列分析，功能数据模型，经验过程，数学和统计财务，贝叶斯推断和自举估计方法等领域。
he Department of Statistics and Applied Probability offers a Ph.D. program in which students develop a broad understanding of the theory and practice of probability and statistics. The Ph.D. program prepares students to conduct innovative research, beginning with a solid foundation in course work and leading towards original dissertation research. Research topics lie broadly in stochastic modelling, data science and machine learning, with diverse areas, such as financial mathematics, big data analytics, computational methods, artificial intelligence, biostatistics and probabilistic theory underpinning algorithms and applications. Interdisciplinary collaboration areas include computer science, environmental science, physics, mathematics, biological and biomedical sciences, engineering, and finance.

展开