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【本案例详解】

恭喜斑马博士客户斩获哥伦比亚大学（哥大）Columbia University in the City of New York  MS program in the Department of Biostatistics with a concentration in Theory and Methods(TM) 生物统计学，专注于理论与方法硕士录取！

 斑马博士留学中心专门整理了哥伦比亚大学（哥大）Columbia University in the City of New York  MS program in the Department of Biostatistics with a concentration in Theory and Methods (TM)生物统计学，专注于理论与方法硕士的详细的专业解读，供大家参考。

【Offer展示】哥伦比亚大学（哥大）Columbia University in the City of New York  MS program in the Department of Biostatistics with a concentration in Theory and Methods(TM) 生物统计学，专注于理论与方法硕士

【学校介绍】 哥伦比亚大学（Columbia University），简称为哥大，正式名称为纽约市哥伦比亚大学（Columbia University in the City of New York），美国大学协会（AAU）的十四所创始院校之一，常春藤盟校之一。哥大是美国历史最悠久的五所大学之一，2023QS排名#22.

【专业介绍】

The Theory and Methods track (TM) provides comprehensive training in biostatistical theory and techniques for individuals seeking positions as statisticians in health-related research within a biomedical, clinical, or laboratory setting. It also provides the necessary academic preparation for those who wish to pursue PhD-level training in biostatistics at a later date. The program's mathematical emphasis gives graduates a deeper foundation in statistical methods than the traditional MPH degree.

The length of the 36-credit program varies with the background, training, and experience of individual students. Most complete the program within two years (four semesters) and begin their studies in the fall semester. 

In addition to fulfilling their course work, all TM students complete a one-term practicum and capstone experience. The practicum experience is an important element of the TM training, as it provides students with the opportunity to apply knowledge learned in the classroom to real-world situations and offers a taste of future career opportunities.（摘录自官网）

【核心课程】

Principles of Epidemiology

Probability

Data Science I

Statistical Inference

Biostatistical Methods I

Biostatistical Methods II

Capstone Consulting Seminar

【选修课程】

Statistical Computing with SAS

Systematic Review & Meta Analysis

Design of Medical Experiments

Theoretical Genetic Modeling

Introduction to Randomized Clinical Trials

Randomized Clinical Trials II

Randomized Clinical Trials III: Pharmaceutical Statistics

Statistical Aspects of Human Population Genetics

Analysis of Longitudinal Data

Latent Variable and Structural Equation Modeling for Health Sciences

Topics in Advanced Statistical Computing

Research Data Coordination: Principles and Practices

Analysis of Large-Scale Data

Topics in Statistical Learning and Data Mining

Elementary Stochastic Processes

Introduction to Computer Applications in Health Care Biomedicine

Introduction to Modern Analysis

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