Biostatistics

Major: Public Health
Degree Awarded: Master of Science (MS)
Calendar Type: Quarter
Total Credit Hours: 47.0
Co-op Option: None
Classification of Instructional Programs (CIP) code: 26.1102
Standard Occupational Classification (SOC) code: 11-9121; 15-2041

About the Program

Biostatistics applies statistical, mathematical and computational techniques to scientific research in health-related fields, including medicine, epidemiology, and public health. Biostatistics has been an integral and indispensable tool in improving health and reducing illness. Biostatisticians play essential roles in designing studies and analyzing research data. Graduates with degrees in biostatistics are employed in public health research and service organizations, university research groups, hospitals, pharmaceutical companies, health-related industries and government. The demand for biostatisticians in the job market has been consistently strong. New technologies are generating an unprecedented amount of data which present exciting opportunities for biostatisticians with strong computational skills.

The goal of Drexel University's MS Program in Biostatistics is to provide students with a thorough understanding of biostatistical methods, strong computational skills, and the ability to apply this knowledge to research focusing on health related problems. The program prepares students for handling the quantitative and computational aspects of a research project, ranging from study design, data collection and management, developing analysis plans, conducting analyses and reporting findings both orally and in writing. The MS in Biostatistics program includes course work in statistical theory and methods, computing and data management, epidemiology, and general public health topics. Incorporated into the second year is a two quarter-long practicum experience working on a real academic, government, or industry project in a sponsoring organization setting. The practicum-based research project will involve the application of biostatistical analysis to a problem of significance to the sponsoring academic, government or industry organization with joint oversight provided by a Department faculty member and an on-site PhD level biostatistician.

Upon graduation MS students will attain competencies in the following three areas: general public health knowledge, biostatistics knowledge, data management and computing skills.

Additional Information

For additional information about the program, visit the Dornsife School of Public Health web site.

Admission Requirements

Applicants to the MS in Biostatistics must meet the following requirements, having:

  • a baccalaureate degree, ideally in a quantitative field such as mathematics, economics and computer science or a scientific area such as natural, biological, medical and environmental sciences.
  • at least two semesters of calculus in college.
  • at least one semester of linear algebra in college.
  • knowledge and experience in computing such as operating system, office software and Internet. Familiarity with a programming language or a statistical package is desirable.

The application package will include:

  • undergraduate and graduate transcripts
  • three letters of recommendation from faculty or professionals who can evaluate the applicant’s promise as a graduate student
  • Graduate Record Examination (GRE) scores
  • a written statement of career and educational goals

Degree Requirements

Completion of the MS in Biostatistics requires: (1) a minimum of 47 credit hours of course work; (2) a cumulative grade point average of 3.0 or higher; (3) a substantial data analysis project (6 credit hours) with a written report (30-50 pages) and oral presentation.

Required Biostatistics Courses
BST 551Statistical Inference I3.0
BST 553Longitudinal Data Analysis3.0
BST 555Introduction to Statistical Computing3.0
BST 557Survival Data Analysis3.0
BST 569Linear Statistical Models4.0
BST 570Generalized Linear Models3.0
BST 651Statistical Inference II4.0
BST 701Advanced Statistical Computing3.0
Required Epidemiology Course
EPI 570Introduction to Epidemiology3.0
Required Public Health Course
PBHL 501Introduction to Public Health0.0
Master's Project Course
BST 699Data Analysis Project6.0
Electives
Students must select 12.0 credits total. Some potential electives include the following:12.0
Survival Data Analysis
Applied Multivariate Analysis
Design & Analysis of Clinical Trials
Statistical Consulting
Nonparametric and Semiparametric Models
Applied Bayesian Analysis
Applied Survey Research in Epidemiology
Epidemiology for Public Health Practice
Infectious Disease Epidemiology
Perinatal Epidemiology
Cardiovascular Disease Epidemiology & Prevention
Making Sense of Data
Pharmacoepidemiology
Pathophysiologic Basis of Epidemiologic Research
Autism as a Public Health Challenge
Total Credits47.0

Sample Plan of Study

Term 1Credits
BST 551Statistical Inference I3.0
BST 555Introduction to Statistical Computing3.0
BST 569Linear Statistical Models4.0
 Term Credits10.0
Term 2
BST 651Statistical Inference II4.0
BST 570Generalized Linear Models3.0
EPI 570Introduction to Epidemiology3.0
 Term Credits10.0
Term 3
BST 557Survival Data Analysis3.0
BST 701Advanced Statistical Computing3.0
Biostatistics elective3.0
 Term Credits9.0
Term 4
BST 553Longitudinal Data Analysis3.0
BST 699Data Analysis Project3.0
Biostatistics elective3.0
 Term Credits9.0
Term 5
BST 699Data Analysis Project3.0
PBHL 501Introduction to Public Health0.0
Biostatistics electives6.0
 Term Credits9.0
Total Credit: 47.0
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