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学校名称：Yale University
专业名称：Department of Statistics and Data Science
The Department offers three graduate programs, one leading to the new Ph.D. degree in Statistics and Data Science, the other two leading to an M.A. degree in Statistics. 该系提供三个研究生课程，一个通向统计学和数据科学的新博士学位，另两个通向统计学的硕士学位。
The programs are administered in different ways, even though they share many courses. Unlike at some universities, there is no automatic admission into the Ph.D. program for students who complete the terminal M.A. degree; a completely new application is required. 这些项目以不同的方式管理，尽管它们共享许多课程。与一些大学不同，完成硕士学位的学生不能自动进入博士课程;需要一个全新的应用程序。
· The PHD in Statistics and Data Science统计学和数据科学博士学位
· The MA in Statistics, which is open to students not already enrolled at Yale. 统计专业的硕士研究生课程，对尚未入学的学生开放。
· The MA to a Ph.D., which is for students already enrolled in a Yale Ph.D. program. 硕士学位正在攻读博士学位，这是为已经在耶鲁大学攻读博士学位的学生准备的。
本系提供广泛的训练计划，内容包括统计理论(重点为基础、贝叶斯理论、决策理论、非参数统计)、概率论、随机过程、渐近学、信息论、机器学习、数据分析、统计计算和图形方法。
课程设置：
To qualify for the M.A. degree, the student must successfully complete eight term courses with an average grade of HP or higher, chosen in consultation with the Director of Graduate Studies (DGS) at the start of each semester. Course selections become official only with the DGS’s signature. Courses in other departments can also be taken with permission from the DGS. 要获得硕士学位，学生必须成功完成八门学期，平均成绩为HP或更高，在每个学期开始时与研究生课程主任（DGS）协商选择。只有DGS的签名才能使课程选择正式化。其他部门的课程也可以在DGS的许可下进行。
Specific requirements: It is hard to describe a typical course of study, because students come to the M.A. program with widely differing backgrounds. 具体要求：很难描述一个典型的学习课程，因为学生来到具有不同背景的M.A.课程。
The minimal requirement is:最低的要求是：
· all students must become acquainted with probability theory, at least at the level of Stat 538 or Stat 541. 所有学生必须熟悉概率论，至少在Stat 538或Stat 541的水平上。
· all students must learn some statistical theory, at least at the level of Stat 542. 所有学生必须学习一些统计理论，至少在Stat 542的水平上。
· all students must gain some experience at working with real data, at least at the level of Stat 530, but preferably at the level of Stat 661 or higher. 所有学生必须获得一些处理实际数据的经验，至少在Stat 530的水平，但最好是在661或更高的水平。
We expect that some students, especially those who are enrolled for three semesters, will be able to take higher level courses, such as STAT 610 (Statistical Inference) or STAT 625 (Statistical Case Studies). 我们希望一些学生，特别是那些报名参加三个学期的学生，能够修读更高级别的课程，如STAT 610（统计推断）或STAT 625（统计案例研究）。
Here, we provide some examples.
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ENAS 513 Introduction to Analysis ENAS 514 Real Analysis ENAS 525 Optimization I STAT 530 Introductory Data Analysis STAT 538 Probability and Statistics STAT 541 Probability Theory STAT 542 Theory of Statistics MGT 547 Fixed Income Security Analysis STAT 551 Stochastic Processes CPSC 562 Graphs and Networks STAT 600 Advanced Probability STAT 610 Statistical Inference STAT 612 Linear Models BIS 623 Applied Regression Analysis BIS 625 Categorical Data Analysis STAT 627 Statistical Consulting STAT 645 StatscalGenetcs&Bioinformatics STAT 660 MultivariateStats forSocialSci STAT 661 Data Analysis STAT 662 Statistical Computing STAT 664 Information Theory STAT 665 Data Mining & Machine Learning STAT 665 Statistical Machine Learning STAT 667 NetworksAlgorithms&Application STAT 674 Applied Spatial Statistics STAT 690 IndStdy:info. theory and CLT MGMT 740 Financial Economics I ECON 702 International Economics (IDE) |
ENAS 513分析简介 ENAS 514真实分析 ENAS 525优化I STAT 530介绍性数据分析 STAT 538概率和统计 STAT 541概率论 STAT 542统计理论 MGT 547固定收益安全分析 STAT 551随机过程 CPSC 562图表和网络 STAT 600概率很高 STAT 610统计推断 STAT 612线性模型 BIS 623应用了回归分析 BIS 625分类数据分析 STAT 627统计咨询 STAT 645 Statscal Genetcs＆Bioinformatics STAT 660 SultivialSci for SocialSci STAT 661数据分析 STAT 662统计计算 STAT 664信息理论 STAT 665数据挖掘和机器学习 STAT 665统计机器学习 STAT 667网络算法和应用 STAT 674应用程序空间统计 STAT 690 IndStdy：信息。 理论与CLT MGMT 740金融经济学I. ECON 702国际经济学（IDE） |
申请要求：
TOEFL
GRE
在决定最终硕士课程的招生人数时，我们关注以下几个重要问题:
申请人有多强?
在教师无法给予学生个人的学术关注(这是耶鲁教育的一个特点)之前，一个班级能有多大?
入学推荐完全基于学术方面的考虑:比如学生成功完成课程的可能性、过去的学习记录和工作经验、推荐信、标准化考试成绩以及学习统计学的动机。
每年大约有350名学生申请进入该专业。其中，约有35人被录取，每年有12至16名硕士研究生入学。由于这种选择性，许多youxiu的学生没有被录取。
