【斑马博士捷报】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 Public Health Data Science(PHDS) 生物统计学,专注于公共卫生数据科学硕士录取!
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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 Public Health Data Science(PHDS) 生物统计学,专注于公共卫生数据科学硕士录取!
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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 Public Health Data Science(PHDS) 生物统计学,专注于公共卫生数据科学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 Public Health Data Science(PHDS) 生物统计学,专注于公共卫生数据科学硕士录取!
【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】
Data science is an emerging and dynamic discipline that draws strength from many domains. Although the definition of this field is still evolving, hallmarks of data science include: the principled visualization and analysis of data; the recognition of research reproducibility and replicability; the need to communicate and disseminate results effectively; and an emphasis on substantive collaborative engagement in interdisciplinary research.
The Public Health Data Science (PHDS) track retains the core training in biostatistical theory, methods, and applications, but adds a distinct emphasis on modern approaches to statistical learning, reproducible and transparent code, and data management. 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 PHDS students complete a one-term practicum and capstone experience. The practicum experience is an important element of the PHDS 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.
【核心课程】
Principles of Epidemiology
Probability
Data Science I
Data Science II
Statistical Inference
Biostatistical Methods I
Biostatistical Methods II
Relational Databases and SQL Programming for Research and Data Science
Capstone Consulting Seminar
【选修课程】
Statistical Computing with SAS
Survival Analysis
Advanced Statistical and Computational Methods in Genetics and Genomics
Analysis of Longitudinal Data
Latent Variable and Structural Equation Modeling for Health Sciences
Topics in Advanced Statistical Computing
Topics in Statistical Learning and Data Mining
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