Doctor's degree in Biostatistics at Columbia University in the City of New York

 

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Doctor's Degree in Biostatistics at Columbia University in the City of New York

Columbia University in the City of New York
Doctor's degree
Biostatistics

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-Degree Requirements-
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The PhD in Biostatistics prepares candidates for leadership roles in the development and application of statistical methods to biomedical research for the advancement of public health. The PhD is awarded by the Graduate School of Arts and Sciences (GSAS) as governed by the Doctoral Program Subcommittee on Biostatistics of the Graduate Faculty comprised of faculty from both the Department of Biostatistics and Columbia's Morningside Campus. The program is administered by the faculty and staff of the Mailman School of Public Health.

Only students who hold a master's degree biostatistics or statistics are admitted into the PhD program, ensuring that our doctoral students enter the program with introductory course work already completed in the theory of probability and the theory of statistical inference, so that they may immediately register for the required three-semester sequence of advanced courses in the theory of statistical inference and asymptotic statistics. We admit only those students who have already had Master’s degree courses in regression analysis, experimental design, multivariate methods, and the analysis of categorical data, so that they may register for advanced courses on these topics. Highly qualified students without a Master’s degree are encouraged to apply to the Accelerated Predoctoral Training (APT) track, a one-year Master of Science program for PhD preparatory work, or to the Theory and Methods (TM) track, both offered by the Mailman School of Public Health.

Other admissions criteria include: (i) a score of at least 700 on the quantitative section of the Graduate Record Exam (corresponding to the 80th percentile), and a score of at least 600 on the verbal aptitude test (students with a lower score on the verbal test will be required to attend a course in verbal fluency and/or demonstrate English language proficiency in order to secure continuing support); (ii) a thorough knowledge of calculus (equivalent to two years of undergraduate study); (iii) a course in matrix/linear algebra; (iv) study of a programming language (e.g., Fortran, C, APL); (v) In addition, real analysis is strongly recommended.
The Biostatistics faculty of the Doctoral Program Subcommittee must recommend admission before an applicant is admitted into the program.

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