» Biostatistics » Academics » Doctoral Program » PhD » Course Requirements
Course selection, done in consultation with academic advisors, is based on background, previous education, and research interests.
As the PhD program only admits students who already have a master’s degree in biostatistics or statistics, doctoral students enter the program with introductory course work already completed in the theories of probability and statistical inference. Students may then immediately register for the required three-semester sequence of advanced courses in the theory of statistical inference and asymptotic statistics. Students will also have had master’s level courses in regression analysis, experimental design, multivariate methods, and the analysis of categorical data and be able to register for advanced courses on these topics as well.
In addition to mastering course work in statistics, PhD students must satisfy a “cognate field” requirement to gain knowledge and expertise in a biomedical research field other than statistics/biostatistics. Examples of cognate fields of study include biomedical informatics, computational biology, environmental sciences, epidemiology, genomics, health policy research, human biology, physiology, and imaging. Students must take a minimum of two courses at the graduate level in the selected cognate field, chosen in consultation with their advisor and approved in writing by the Department chair or director of academic programs. The requirement is fulfilled when a grade of B or better is obtained in two cognate field courses, which should be completed by the end of the second year of study.
PhD students are encouraged to take full advantage of graduate course offerings in other departments of the Mailman School of Public Health, other departments and schools of the Medical Center, and Columbia’s Morningside Heights Campus including, but not limited to, the Department of Statistics, to extend their knowledge of theory and methods, develop an area of expertise, and familiarize themselves with the content and issues specific to the biomedical or public health problem or application of their research.
Another resource contributing to the wide selection of course offerings available to PhD students is the Inter-University Doctoral Consortium (IUDC), which enables Columbia Graduate School students in their second academic year to cross-register for courses at any of the following member institutions: CUNY Graduate Center, Fordham University, New School for Social Research, New York University, Princeton University, Rutgers University, and Stony Brook University. For additional information and the application form please refer to the IUDC pages.
Students are required to take the following biostatistics courses, or to have taken the equivalent courses elsewhere with grades of B+ or better.
Required Courses |
Points: | |
| P6104 | Introduction to Biostatistical Methods | 4 |
| P6400 | Principles of Epidemiology I | 3 |
| P8104 | Probability | 3 |
| P8108 | Survival Analysis | 3 |
| P8111 | Linear Regression Models | 3 |
| P8116 | Design of Medical Experiments | 3 |
| P8120 | Analysis of Categorical Data | 3 |
| P8121 | Generalized Linear Models | 3 |
| P8129 | Theory of Multivariate Analysis | 3 |
| P8140 | The Randomized Clinical Trial | 3 |
| P8157 | Analysis of Longitudinal Data | 3 |
| P8185 | Capstone Consulting Seminar | 1 |
| P9109 | Theory of Statistical Inference I | 4.5 |
| P9110 | Theory of Statistical Inference II | 4.5 |
| P9111 | Asymptotic Statistics | 3 |
Elective Courses in Biostatistics & Statistics |
Points: | |
| P8114 | Statistical Issues in Microarray Data: Workshop and Journal Club |
1 |
| P8117 | Nonparametric Statistics | 3 |
| P8133 | Sequential Experimentation | 3 |
| P8139 | Theoretical Genetic Modeling | 3 |
| P8142 | Randomized Clinical Trials II | 3 |
| P8144 | Randomized Clinical Trials III: Pharmaceutical Statistics | 3 |
| P8150 | Seminar in Topics in Applied Statistics | 3 |
| P8160 | Topics in Advanced Statistical Computing | 3 |
| P9113 | Concepts of Modeling, Design, and Evaluation of Computer Experiments |
3 |
| P9154 | Discrete Statistical Analysis | 3 |
| G6101 | Statistical Modeling for Data Analysis I | 4 |
| G6102 | Statistical Modeling for Data Analysis II | 4 |
| G6103 | Statistical Modeling for Data Analysis III | 3 |
| G6105 | Analysis and Probability I | 3 |
| G6106 | Analysis and Probability II | 3 |
All PhD students are required to accumulate six Residence Units (RUs). A Residence Unit is the equivalent of a semester of full-time study. After one year of study, students may apply for advanced standing of up to two RUs representing work completed in their master’s program. All PhD students are expected to attend full-time, especially during the research and dissertation phases of their program. A whole RU, Extended Registration (ER), or Matriculation and Facilities (M&F) are all considered full-time registration statuses. In instances of extreme financial hardship, students may be permitted to work part time during course work when tuition costs are higher.
Department of Biostatistics
Mailman School of Public Health
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New York, New York 10032
Tel: 212-305-9398