Master of Science in the Field of Biostatistics
Program Director and Academic Advisor A. F. Elmi
The master of science (MS) degree program in biostatistics is jointly administered by the Department of Statistics in the Columbian College of Arts and Sciences (CCAS) and the Department of Epidemiology and Biostatistics in the Milken Institute School of Public Health (SPH) and its associated research facility, The Biostatistics Center. This degree program is accredited by the Middle States Commission on Higher Education through the CCAS and by the Council on Education for Public Health through the SPH Regulations, and requirements for this graduate degree have been designed to be compatible with policies and scholarship requirements of both CCAS and SPH. The degree is conferred by Columbian College.
Specific admission requirements are shown on the Graduate Program Finder.
Visit the program website for additional information.
At the completion of the MS program in Biostatistics students will be able to:
- Understand and the theory and principles behind statistical methods most commonly used in biomedical research (contingency tables, survival analysis, mixed models, and missing data).
- Understand and apply the underlying principles and methods to design, plan, and conduct biomedical studies.
- Provide biostatistical advice as a member of a team engaged in a biomedical research project. Includes manipulation and analysis of data.
The courses listed below (or course equivalents) are prerequisites for admission consideration and must appear on the student's transcript. Students may apply to the program only after they have fulfilled this requirement:
|MATH 1231||Single-Variable Calculus I|
|MATH 1232||Single-Variable Calculus II|
|STAT 2118||Regression Analysis|
Applicants lacking the courses listed below (or course equivalents) will be considered for admission; however, if admitted, the student is required to complete these courses within two semesters of matriculation in the program. Credit earned in these courses does not count toward the 33 credits required for the degree and grades earned are not reflected in the overall grade point average.
|MATH 2184||Linear Algebra I|
|MATH 2233||Multivariable Calculus|
|One of the following:|
|STAT 1129||Introduction to Computing|
|STAT 2183||Intermediate Stat Lab/Packages|
|PUBH 6001||Biological Concepts in Public Health|
|PUBH 6003||Principles and Practices of Epidemiology|
|PUBH 6265||Design of Medical Studies|
|PUBH 6266||Biostatistical Methods (Basis for Master’s Comprehensive Examination)|
|PUBH 6299||Topics in Epi/Bio|
|STAT 6201||Mathematical Statistics I|
|STAT 6202||Mathematical Statistics II|
|STAT 6210||Data Analysis|
|STAT 6227||Survival Analysis|
|6 credits from the following:|
|PUBH 6004||Environmental and Occupational Health in a Sustainable World|
|PUBH 6006||Management and Policy Approaches to Public Health|
|PUBH 6121||Environmental and Occupational Epidemiology|
|PUBH 6242||ClinicalEpid&Decision Analysis|
|PUBH 6244||Cancer Epidemiology|
|PUBH 6245||InfectiousDisease Epidemiology|
|PUBH 6250||Epidemiology of HIV/AIDS|
|STAT 3187||Introduction to Sampling|
|STAT 4181||Applied Time Series Analysis|
|STAT 4188||Nonparametric Stat Inference|
|STAT 6215||Applied Multivariate Analysis I|
|STAT 6216||Applied Multivariate Analysis II|
|STAT 6217||Design of Experiments|
|STAT 6223||Bayesian Statistics: Theory and Applications|
|STAT 6231||Contingency Table Analysis|
|STAT 6242||Regression Graphics/Nonparametric Regression|
|STAT 6287||Modern Theory of Sample Surveys|
|STAT 8226||Advanced Biostatistical Methods|
|STAT 8265||Multivariate Analysis|
|STAT 8273||Stochastic Processes I|
|STAT 8281||Advanced Time Series Analysis|
|STAT 8288||Modern Theory/Sample Surveys|
|PUBH 6258||Adv Topics/Biostat Consulting|
|PUBH 6283||Biostatistics Consulting Practicum|
The Master’s Comprehensive Examination
The master's comprehensive examination is a written exam in the field of biostatistics and is based on the content covered in PUBH 6266 Biostatistical Methods. It is administered by the faculty of the Department of Epidemiology and Biostatistics in the Milken Institute School of Public Health.