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牛津大学统计学专业

Statistical Science

专业排名

5

学制

1年

学费

43730.00英镑/年

雅思

7.5

主页 排名

专业介绍

The MSc in Statistical Science will aim to train you to solve real-world statistical problems. When completing the course you should be able to choose an appropriate statistical method to solve a given problem of data analysis, implement the analysis on a computer and communicate your results clearly and succinctly.

The MSc offers a broad high-level training in applied and computational statistics, statistical machine learning, and the fundamental principles of statistical inference. Training i

移民相关

移民专业:否

就业前景

可从事的工作:理学硕士毕业生可在金融、经济、政府、科学和工业领域就业。该理学硕士课程也是攻读博士学位的有效敲门砖,约有三分之一的学生选择攻读博士学位。

如何申请

个人陈述:1000字,Your statement should be written in English and explain your motivation for applying for the course at Oxford, and your relevant experience and education. You should explain why you are interested in studying for the course. The statement should summarise your background as it relates to applying for the MSc and the advanced mathematical and statistical content you have covered (or are in the process of covering, if you are currently completing a degree). This will be assessed for your reasons and motivation for applying, evidence of motivation for and understanding of the broad area covered by the MSc, capacity for sustained and intense work, reasoning ability, the ability to absorb ideas at a rapid pace.

推荐信:3

简历:1

申请截止日期:3轮

面试:不要求

测试申请录取成功率

采用最科学的人工智能算法,已为23127位学生申请到dream school,成功率96.33%。
免费测试

入学要求

专业领域:含高级数学及统计学内容的专业。

GPA:3.7。

语言要求:

雅思总分:7.5

雅思听力:7

雅思阅读:7

雅思阅读:7

雅思口语:7

雅思写作:7

托福总分:110

托福听力:22

托福写作:24

托福口语:25

托福阅读:24

世界排名 数据来源: QS世界排名

5

QS排名

专业课程

Applied Statistics:应用统计 Foundations of Statistical Inference:统计推断的基础 Statistical Programming:统计规划 Computational Statistics:计算统计 Statistical Machine Learning:统计机器学习 Stochastic Models in Mathematical Genetics:数学遗传学中的随机模型 Probability and Statistics for Network Analysis:网络分析的概率统计 Algorithmic Foundations of Learning:学习的算法基础 Advanced Topics in Statistical Machine Learning:统计机器学习中的高级主题 Advanced Simulation Methods:先进的仿真方法 Bayes Methods:贝叶斯方法

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