The Statistics Department of Stanford University was founded in 1948. After years of development, the Statistics Department of Stanford University has developed into a top statistical research center, ranking first in the United States, and its doctoral program ranks first in the latest ranking of the National Research Council of the United States. The teaching goal of the college is to study and pay attention to cultivating students' statistical methods and probability theory. At present, the college has more than 20 teachers, about 50 doctoral students and 40 masters.
The master's program of statistics in this department.
Statistics) can be studied as a separate master's program or as a doctoral program with other fields. From the fall of 20 13, a new direction of data science was set up, including statistics and computer and mathematical engineering. Multiple sclerosis
It requires 45 credits in statistics, including 8 core courses of statistics, and there is no paper requirement.
The statistics major of Stanford University has always been a dream school for students. There are about 350 applicants each year, and the admission rate is about 15%. The competition is fierce. Applicants with high GPA and GRE are recommended to apply.
2. University of California, Berkeley.
Department of Statistics, University of California, Berkeley was founded by Jerzy Neyman at 1938.
Niemann is considered as one of the founders of modern statistics, and the other founder is R.A.
Fisher Berkeley, California established the first statistical research center in the United States. The statistics department has a strong faculty. At present, four teachers are members of the National Academy of Sciences. Its graduate program has always been one of the best in America.
Master of Statistics Program of the Department (Master of Arts in 2005)
Statistics is employment-oriented, focusing on the cultivation of students' statistical skills in various industries, rather than as a doctoral program. The program lasts for two semesters and requires at least 24 credits and a comprehensive exam. The most frequently admitted majors are actuarial science, computer science, economics, finance, mathematics (theory and application), physics and biological science, political science and statistics. Multivariate calculus, linear algebra, probability theory, theoretical and applied statistics, at least one statistical system or computer language.
3. University of Chicago
The Department of Statistics of the University of Chicago was established in 1949, focusing on the research of advanced statistics and probability. The teaching goal is to enable students to apply investigation and statistics in the related fields of natural science and social science. The Department of Statistics teaches the theory and practice of probability and statistics.
Teachers in this department have written many important and influential works on statistics and probability, such as Ergodics and Information.
Information), convergence of probability measure, Patrick.
Probability and measure of Billingsley. The theory and knowledge of teachers' books and periodical articles are applied to statistics, biophysics, chemistry, mathematics, physics, astronomy, genetics, neuroscience, bacteriology, biostatistics, public health, machine learning, artificial intelligence, imaging, psychology, sociology, medicine, law, history of science, education and business.
The Master of Statistics program at the University of Chicago is employment-oriented and can also be a doctor. The project includes six branches: data analysis, mathematical statistics, biostatistics, statistical genetics, statistics and finance, and computer images. The Chicago Statistical Project has high requirements for the math part of GRE.
4. Harvard University Harvard University
The training goal of the graduate program of Statistics Department of Harvard University is not only the academic training of statistics, but also the training of students to become leaders in the fields of medicine, law, finance, technology, government and industry. The project of Harvard Statistics Department is a stepping stone to success. Postgraduates have made remarkable achievements in academic, banking and financial services, information technology, medical research, economic and public policy research, and doctoral students occupy a place in the application of basic statistical methods.
Harvard's Statistical Program (MA)
Statistics has attracted many excellent applicants. Some of the students in this program study for Ph.D., while others study for terminal degrees. They are employment-oriented and export students to finance, software development, government agencies and other fields. According to students' background and interests, each student is assigned an academic consultant (teacher) to provide students with necessary academic guidance.
TOEFL, a statistical project of Harvard, requires students to score above 26, and students below 26 need to attend the entrance interview and language courses. Students are advised to take the GRE-SUB exam and take a fancy to their academic background.
5. University of Washington
The Department of Statistics of the University of Washington offers the Master of Statistics course: Statistics-Advanced Methods and Data Analysis (Master of Science (MS) track.
"Statistics-advanced methods and data.
Most students can graduate in the following spring. The training goal of this project is to cultivate students' ability and pay attention to the study of students' methodology.
In view of the applicant's mathematical background, it is recommended that students have at least 30 credits of statistics and mathematics courses. Including one year's study of calculus, linear algebra and probability theory.
Carnegie Mellon University
Cultivation of bachelor's, master's and doctoral programs in statistics department of Carnegie Mellon University. Master program in statistical practice,
MSP) is a one-year project, which is completed in two semesters. MSP is employment-oriented and pays attention to the cultivation of students' statistical practice, methods and data analysis. The program will also help students prepare for future jobs in business, industry, government and scientific research. Students who complete this project will be well trained in statistical practice. And the competition in today's job market is very fierce. There is no requirement for master's thesis and qualification examination.
Applying for MSP in Carnegie Mellon University requires two semesters of calculus courses based on probability theory and mathematical statistics, including random variables, distribution functions, common distribution and conditional distribution, function and probability distribution of random variables, maximum likelihood estimation, properties of estimators, interval estimation and hypothesis testing. Linear regression analysis course; Matrix algebra.
7. Duke University
The Department of Statistics of Duke University, founded in 1987, is the top 5 research center in the United States and the top 10 graduate program. By the middle and late stage of 20 15, there were 8 teachers 18, 45 doctoral students, 70 master students and 70 research-related undergraduates, including a large number of postdoctoral students, which attracted many visitors.
The center of Bayesian statistics and its interdisciplinary application is recognized by the world as the research center of statistics and computing of Duke University. The Department of Statistics teaches a wide range of undergraduate statistics courses, including introductory statistics courses and advanced statistics courses, as well as a large number of statistics courses related to master's and doctoral levels. The doctoral program is characterized by focusing on complex stochastic models, Bayesian statistics, scientific calculation and compound statistics. The master's program includes the master's program in statistics (master's program).
Master programs in Statistical Science (MSS) and Statistical and Economic Model (Master's)
Scientific projects in statistics and economy
Modeling, MSEM).
8. University of Pennsylvania
The statistics major of the University of Pennsylvania is a doctoral program, which provides students with basic statistical knowledge, and students can be exposed to cutting-edge statistical knowledge and applications in related fields. These applications include: finance, marketing and public policy, as well as biostatistics in medical college and computer science in engineering college.
Its research directions include: observation, research and analysis; Bayesian inference; Bioinformatics; Decision theory; Game theory; High-dimensional reasoning; Information theory; Machine learning; Mode selection; Nonparametric function estimation; Time series analysis.
Applying for the Ph.D. program in statistics at the University of Pennsylvania is recommended to have a strong mathematical background. The knowledge of advanced linear regression and calculus, as well as the experience of relevant statistical analysis, are very helpful to the application.