MS Program

Course Requirements

MS/TM graduates are expected to master the mathematical and biostatistical concepts and techniques presented in the curriculum’s required courses. The curriculum includes 32 credit hours of required course work and four points of electives. Each student's program is designed on an individual basis in consultation with a faculty advisor taking into consideration the student's prior educational experience.

Students who have mastered an academic area through previous training may have the corresponding course requirement waived. Some students, such as those with undergraduate majors in statistics or mathematics, may apply to have several courses waived. Students wishing to waive one or more courses must request approval in writing from their advisors and the Director of Academic Programs. These students must still complete a minimum of 32 points to earn the MS/TM degree, of which 30 points must be taken at the Mailman School of Public Health.

MS/TM students are also strongly advised to develop expertise in one or more statistical software packages (such as SAS, SPSS, STATA) routinely used in several of the biostatistics courses. Knowledge of one or more computer programming languages is also useful. Students without knowledge of any software packages may acquire these skills by taking “mini-courses” offered at the Computer Center in the Health Sciences Library, or by enrolling in a biostatistics course devoted to teaching the use of software packages or programming languages, such as P6110 Statistical Computing with SAS.

Required Courses

Below are the 32 credits of required course work. Students consult their faculty advisors before registering for classes to plan their programs based on their individual background, goals, and the appropriate sequencing of courses. Waiver of any required courses (with prior written approval of their faculty advisor and the Director of Academic Programs) enables students to take other, higher level classes.

Course # Course Name Points
P6104 Introduction to Biostatistical Methods 4
P6400 Principles of Epidemiology 3
P8104 Probability 3
P8108 Survival Analysis 3
P8109 Statistical Inference 3
P8111 Linear Regression Models 3
P8116 Design of Medical Experiments 3
P8120 Analysis of Categorical Data 3
P8121 Generalized Linear Models 3
P8140 The Randomized Clinical Trial 3
P8185 Capstone Consulting Seminar 1
 
Total:
32

Electives

Students choose two or more courses from the list below or from alternatives approved by their academic advisors. (Please note: P8100 and P8110 are not acceptable electives for the MS/TM track).

Course # Course Name
Points
P6110 Statistical Computing with SAS 3
P8114 Statistical Issues in Microarray Data: Workshop and Journal Club 1
P8117 Nonparametric Statistics 3
P8129 Theory of Multivariate Analysis 3
P8139 Theoretical Genetic Modeling 3
P8141 Genetic Analysis Laboratory 3
P8142 Randomized Clinical Trials II 3
P8144 Randomized Clinical Trials III: Pharmaceutical Statistics 3
P8149 Statistical Aspects of Human Population Genetics 3
P8150 Seminar in Topics in Applied Statistics 3
P8157 Analysis of Longitudinal Data 3
P8160 Topics in Advanced Statistical Computing 3
P8175 Principles of Genetics for Biostatisticians 3
P8180 Research Data Coordination: Principles and Practices 3
P8482 Outcomes Research: Methods and Public Health Implications 3
P8509 Applied Pharmacoepidemiology and Outcomes Research 1.5
P9154 Discrete Statistical Analysis 3
W4606 Elementary Stochastic Processes (Morningside Campus) 3
G4001 Introduction to Computer Applications in Health Care Biomedicine 3
 
Total:
4 or more