MS Program

Course Requirements

The MS in Statistical Genetics curriculum is designed to achieve the program’s competencies through courses totaling 36 credit hours and the capstone experience. The curriculum includes 30 credits of required course work and 6 credits of electives.

The required courses will enable degree candidates to gain proficiency in genetic study design and analysis. In rare circumstances, one or two required courses may be waived for students with demonstrated expertise in that field of study; however, students must still complete a minimum of 30 credits in order to be awarded the MS/SG degree. If a student places out of one or more required courses, s/he may instead opt to take a more advanced course in the same area or another elective course in Biostatistics or other discipline with the approval of the student’s faculty advisor.

Students wishing to waive one or more courses must request approval in writing from their advisors and the Director of Academic Programs.

Required Courses:

The required courses enable degree candidates to gain proficiency in genetic study design and analysis.

Course # Course Name
Points:
P6104 Introduction to Biostatistical Methods 4
P6400 Principles of Epidemiology 3
P8104 Probability 3
P8109 Statistical Inference 3
P8120 Analysis of Categorical Data 3
P8139 Theoretical Genetic Modeling 3
P8141 Genetic Analysis Laboratory 3
P8149 Statistical Aspects of Human Population Genetics 3
P8163 Statistical Methods in Genetic Epidemiology Journal Club 2
P8175 Principles of Genetics for Biostatisticians 3
  Total:
30

Electives:

Students also select 6 credits of course work from the list below. Other advanced courses from the Department of Biostatistics, other Departments in the Mailman School of Public Health, or elsewhere at Columbia may be substituted with approval of the student's academic advisor.

Course # Course Name
Points:
P6385 Principles of Genetics and the Environment I
3
P6386 Principles of Genetics and the Environment II
3
P6700 Selected Issues in Sociomedical Sciences
3
P8114 Statistical Issues in Microarray Data
1
P8117 Nonparametric Statistics
3
P8157 Analysis of Longitudinal Data
3
P8160 Topics in Advanced Statistical Computing
3
P9154 Discrete Statistical Analysis
3
P8307 Molecular Epidemiology
3
P8403 Nutritional Epidemiology
2
P8405 Genetics in Epidemiology
3
P8414 Cancer Epidemiology
3
P8419 Neurobiology and Genetics of Psychiatric Disorders
3
P8422 Perinatal Epidemiology
3
P8440 Epidemiology of Cardiovascular Diseases
3
G4055 Decision Support in Biomedicine
3
G4060 Evaluation Methods in Biomedical Informatics
3
W4606 Elementary Stochastic Processes (Morningside campus)
3
  Total:
6