统计学是应用数学的分支,通过利用概率论建立数学模型,收集所观察系统的数据,进行量化的分析、总结,并进行推断和预测,为相关决策提供依据和参考。学生.通过统计可以掌握各种数据分析技术,了解统计学的前沿理论,掌握科学调查和研究的思路,也会学习统计分析软件的使用方法。通常,统计学专业开设在美国的数学系下面,也有自己独立的统计系。由于统计学专业在美国本土就业情景比较乐观,吸引了大批的申请者,学生如果要申请统计学专业,需要有良好的数学基础,并且有一定的计算机操作基础。下面通过几所学校来具体看下:
1. Harvard University
项目:Terminal AMProgram in Statistics
背景要求:Theminimum mathematical preparation for admission to graduate study in statisticsis linear algebra and advanced calculus.Ideally, each student’s preparation should include at least one term each of mathematical probability and mathematical statistics.Additional study in statistics and related mathematical areas, such as analysis and measure theory, is helpful.
最起码要修过线性代数与高级微积分;完美的是修过数学概率论和数学统计学。
2. Columbia University
项目:M.A. inStatistics
背景要求:Prerequisites:
Basic minimum preparation for the programshould include one semester of linear algebra withan in-depth coverage of relevant topics including matrices,vector spaces, linear transformations, eigenvalues and eigenvectors, canonicalforms and their applications, and advanced calculus. Experience in theoretical or applied probability and statistics isadvantageous. Familiarity with computerprogramming, including some proficiency in SAS, R orPython is also helpful. Any lackin the prerequisites should be made up before applying.
至少要求过线性代数。有理论与应用概率论和统计的经历最好。对计算机编程要比较熟悉,像SAS/R/Python。如果背景有缺失,在申请之前应该给补上。
3. Duke University
项目:Master's inStatistical Science
背景要求:M.S.students should also have a statistical science background, which includes:
Two semesters of an undergraduate,calculus-based probability and mathematical statisticssequence; One course in matrix algebra;One course in applied regression analysis; Some basicexperience with computation and data analysis
Prior exposure to formal programming, usingone or more of C, python, java, R, Matlab, etc.,is highly desirable
Exceptional students who may not have thiscomplete list of prerequisites but have compelling applications otherwise maybe admitted but will be required to complete additional intro-level courses
申请者应该有统计学科学的背景,包括:两学期的概率论与数学统计序列、矩阵数学、应用回归分析和一些寄出的计算机数据分析背景。
有C python javar matlab的经历。
4. Johns Hopkins University
项目:Master ofArts in Applied Mathematics and Statistics
背景要求:Amathematics background of at least 5 mathematicscourses beyond multivariable calculus, including at least two semesters ofproof-writing courses (such as analysis, abstract algebra or topology).
Prospective students for our graduateprograms should ideally have completed a Bachelor’s level degree inEngineering, Mathematics, the Sciences, Finance* or Economics*. In addition,candidates should ideally have completed undergraduate-level courses in
•Calculus, through multivariable calculus
•Linear algebra
•Differential equations
•Probability and statistics
•Microeconomics and macroeconomics*
•Computer programming (e.g., in C++)
•At least twoproof-writing courses
*Considered for applications for our MSE inFinancial Mathematics.
5. Rice University
项目:master ofscience (MS)-Statistics
背景要求:Prerequisites
Single and multivariablecalculus
Linear or matrix algebra
Probability and Statistics (Calculus-based)
Demonstratedknowledge of a high-level programming language, e.g. C/C++/C#,JAVA, Fortran, Matlab, R/S+, Python, etc. You should not apply if you have notsatisfied these prerequisites. However, you may apply if you are currentlytaking these courses, or plan to complete these requirements prior to youradmission. Preparatory classes are offered in the summers at Rice through Rice'sContinuing Education Program. Note that a background in non-calculus statisticsis helpful, but will not prepare you for this course of study.
单和多变量微积分
线形或矩阵代数
概率论和统计
编程语言等
6. University of California—Berkeley
项目:Master of Arts (MA)-Statistics
背景要求:1. Our typical admitted student has significant coursework in multivariable calculus, linear algebra, probability theory,theoretical and applied statistics, as well as at least one statistical system(such as R) or a computer language (such as Python).
2. Werequire applicants to submit both the statement of purpose AND personal historystatement.
典型的录取学生会修过多变量微积分、线性代数、概率论、理论与应用统计,至少会一个统计软件(像R)或计算机语言(像Python)
除了要求SOP之外,还要Personalhistory statement的文书。
7. University of Michigan--Ann Arbor
项目:Masters degree in Applied Statistics
背景要求:Prerequisites
It isstrongly recommended that prospective students have a good background in calculus and linear algebra and have taken one course inprobability, one course in theoreticalstatistics and at least one in applied statistics. Students who have nottaken these prerequisite courses are generally required to take them in thefirst year of graduate study, with no credit toward the requirements for thedegree.
强烈建议修过微积分、线性代数、概率论、理论统计学和应用统计学。本科阶段没有修过这些课程的,会在研究生第一学期要求选修且不算研究生学分。
8. University of California-SantaBarbara
项目:Masters Degree in Statistics
背景要求:What classes are prerequisites for admission?
Allstudents admitted should have a Bachelor's degree or its equivalent inmathematics, statistics or a related field with significant quantitativecomponents. Coursework required for entering the graduate program includes ayear-long introduction to probability and statisticsusing calculus. The statistical theory course should include estimation, hypothesis testing, confidence intervals,regression, and ANOVA concepts. A linear algebra course that teaches vector spaces, bases, and eigenvalues is also required.
录取的学生一般本科都是数学、统计学或有一定数量因素的相关专业。学生最好修过一年的概率论与统计(涉及微积分),统计学理论与线性代数。
9. University of North Carolina--Chapel Hill
项目:Master of Statistics
背景要求:Applicants to the M.S. program should have completed basicundergraduate coursework in statistics and mathematics. All M.S. studentsshould have completed basic undergraduate coursework inintroductory statistics, multivariable calculus, linear and matrix algebra, andcalculus based probability. Students applying to the Statistics program should have taken an intermediate level undergraduate course in inference andregression (similar to STOR 455). Students interested in theoretical statistics or probability should haveprior coursework in advanced calculus or real analysis.
申请MS学位的学生需要完成基础的统计学和数学的本科教育,需要修过统计学入门、多变量微积分、线性和矩阵代数、微积分概率的课程。申请统计学项目还应该修过中级推理与回归的本科课程。对理论统计和概率论感兴趣的学生也应该修过高级微积分与分析。
10.Boston University
项目:Master of Science in Statistical Practice
背景要求:The MSSP program actively seeks students with diverse educational backgroundsand career goals. MSSP courseworkrequires a solid foundation in calculus and corestatistics (either through previous coursework or equivalent work experience)plus some familiarity with computing (e.g., a one-semester programming course,experience in R, etc.). Exposure to probability andlinear algebra is beneficial.
接受任何专业背景的学生,需要较好的微积分和统计学的基础(可以是从学校课堂或者之前工作经验中获取),此外需要对计算机熟悉,要学过一学期编程的课程,有R语言的经历等。有概率论和线性代数的基础最好。
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