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.

Visit the program website for additional information.

The following requirements must be fulfilled: 33 credits, including 18 credits in core statistics courses, 7 credits in core public health courses, 6 credits in elective courses, and 2 credits in consulting.

Admission Considerations

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 1231Single-Variable Calculus I
MATH 1232Single-Variable Calculus II
STAT 2118Regression Analysis

Applicants lacking the courses listed below (or course equivalents) are 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 2184Linear Algebra I
MATH 2233Multivariable Calculus
One of the following:
PUBH 6249Use of Statistical Packages: Data Management and Data Analysis
STAT 2183Intermediate Statistics Lab/Packages

Degree Requirements

Required statistics courses
STAT 6201Mathematical Statistics I
STAT 6202Mathematical Statistics II
STAT 6210Data Analysis
STAT 6227Survival Analysis
PUBH 6265Design of Medical Studies
PUBH 6266Biostatistical Methods (Basis for Master’s Comprehensive Examination)
Required public health courses
PUBH 6003Principles and Practices of Epidemiology
PUBH 6299Topics in Epidemiology and Biostatistics (2 credits)
Two courses selected from the following:
PUBH 6262Introduction to Geographic Information Systems
PUBH 6262Introduction to Geographic Information Systems
PUBH 6268Advanced SAS
PUBH 6282Introduction to R Programming
Approved Electives
6 credits in elective courses selected from the following:
PUBH 6121Environmental and Occupational Epidemiology
PUBH 6242Clinical Epidemiology and Public Health: Reading the Research
PUBH 6244Cancer Epidemiology
PUBH 6245Infectious Disease Epidemiology
PUBH 6250Epidemiology of HIV/AIDS
PUBH 6252Advanced Epidemiology Methods
PUBH 6281Analysis of Complex Surveys Using SAS and Stata
STAT 3187Introduction to Sampling
STAT 4181Applied Time Series Analysis
STAT 4188Nonparametric Statistics Inference
STAT 6197Fundamentals of SAS Programming for Data Management
STAT 6215Applied Multivariate Analysis I
STAT 6216Applied Multivariate Analysis II
STAT 6217Design of Experiments
STAT 6223Bayesian Statistics: Theory and Applications
STAT 6231Categorical Data Analysis
STAT 6242Modern Regression Analysis
STAT 6287Sample Surveys
STAT 8226Advanced Biostatistical Methods
STAT 8265Multivariate Analysis
STAT 8273Stochastic Processes I
STAT 8281Advanced Time Series Analysis
STAT 8288Topics in Sample Surveys
Consulting
PUBH 6258Advanced Topics in Biostatistical Consulting
PUBH 6283Biostatistics 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.