Let's take a look at the introduction of Yale University's Master of Statistics major.
Project introduction
The Statistics Department of Yale University has a master's program in statistics, with 8 professors, 3 employees and 28 graduate students. The school actively studies statistical information theory, statistical genetics and bioinformatics, Bayesian method, statistical calculation, graphic method, model selection and asymptotic. At the same time, we also pay attention to cooperation with other institutions in the school to study computer science, biological science, social science, natural science, engineering, bioinformatics, economics and applied mathematics. The Department of Statistics provides a wide range of fields of study, including all aspects of professional knowledge needed by statistics majors.
Curriculum analysis
Yale University's master of statistics program needs to complete eight semesters of course study, requiring an average score of HP or higher. There is no fixed curriculum model, and students choose their own courses. But students are required to meet at least the following requirements:
(1) must be familiar with probability theory, and at least have studied probability statistics or probability theory related courses;
(2) You must master statistical theory and at least have studied relevant courses of statistical theory;
(3) Must have working experience in dealing with real data, and at least have studied data.
Introduction to analysis, it is best to have studied data analysis or higher-level courses, such as statistical inference and statistical case analysis.
In recent years, Yale University has provided some courses that graduate students often take, all of which are public courses of statistics, with one credit as the main one, and the course of statistical consultation only accounts for 0.5 credit. Generally, students choose five courses in autumn and six courses in spring. Students can freely match them according to their own needs.
Let's look at the application conditions and materials.
Admission requirements
Applicants whose mother tongue is not English need to submit GRE and TOEFL scores, and GRE does not require professional tests. GRE and TOEFL have no minimum scores. In 20 17, about 350 students applied for the program, and finally about 35 students were admitted, that is, the admission rate was about 10%.
Application material
Bachelor's degree (or equivalent) before entering Yale University.
Personal goal statement.
All previous learning institutions in higher education.
Transcripts of each listed previous learning institution.
Auxiliary materials.
Results of standardized tests (if any).
Special entrance requirements for your program.
Three referees (at least).
Application fee (please refer to the fee section)
Finally, take a look at the curriculum of the master of biostatistics in Yale University.
BIS 540a, the basis of clinical trials.
BIS 623a, applied regression analysis
BIS 625a, classified data analysis
BIS 628b, longitudinal and multilevel data analysis
BIS 630b, applied survival analysis
BIS 678a, statistical consultation
Advanced statistical programming in BIS 679a, SAS and R.
Standard & Poor's. DS 54 1a, probability theory
Standard & Poor's. DS 542b statistical theory
CDE 508a, epidemiological principles i.
BIS 695c, summer biostatistics research internship.
EPH 600a, research ethics and responsibility.
BIS 557a, computational statistics
BIS 567a, Bayesian statistics
BIS 643b, survival analysis theory.
BIS 646b, nonparametric statistical method and its application
BIS 65 1b, spatial statistics of public health.
BIS 69 1b, generalized linear model theory