Biostatistics PhD
Degree Awarded: Doctor of Philosophy (PHD)
Minimum Required Credits: 44.0
Co-op Option: None
Classification of Instructional Programs (CIP) code: 26.1102
Standard Occupational Classification (SOC) code: 15-2041
About the Program
The PhD in Biostatistics is a full or part-time degree program offered at Drexel University Dornsife School of Public Health. This doctoral program trains students to become highly functional statistical researchers with the breadth of knowledge to contribute to many applied domains or pursue development of new statistical theory and methods.
The Biostatistics PhD program is designed to provide students with a quantitative foundational core in statistical theory while simultaneously offering opportunities to apply these concepts to a wide range of practical applications.
Graduates of the PhD in Biostatistics program are well suited to use their training to enrich and contribute to the field of biostatistics.
Additional Information
For more information about this program, please contact the Dornsife School of Public Health
Admission Requirements
In addition to the requirements listed below, students are required to complete the TA Orientation and Preparation Course and the Responsible Conduct of Research Training.
Degree Requirements
| Core/Foundational Courses | ||
| PBHL 5000 | Public Health Foundations 1 | 3.0 |
| PBHL 8000 | Professional Development | 3.0 |
| PBHL 8001 | Proposal Writing Seminar | 3.0 |
| Subject-Area Focused Courses | ||
| BST 8010 | Probability and Statistical Inference I | 3.0 |
| BST 8011 | Probability and Statistical Inference II | 3.0 |
| BST 8012 | Statistical Methods I: Linear and Logistic Regression | 3.0 |
| BST 8013 | Statistical Methods II: Generalized Linear and Survival Models | 3.0 |
| BST 8014 | Statistical Methods III: Longitudinal and Correlated Data | 3.0 |
| BST 8015 | Machine Learning and Computational Statistics | 3.0 |
| BST 8016 | Theory of Linear, Generalized Linear, and Mixed Models | 3.0 |
| BST 8017 | Statistical Collaboration in Team Science | 3.0 |
| BST 8018 | Applied Bayesian Analysis | 3.0 |
| Select one of the following courses: | 3.0 | |
| Introduction to Epidemiology | ||
| Intermediate Epidemiology | ||
| Advanced Concepts in Epidemiologic Study Design and Analysis | ||
| Dissertation | 2.0-59.0 | |
| Dissertation Guidance | ||
| Electives | ||
| Select 3.0 credits in the following: 2 | 3.0 | |
Any BST (Biostatistics) course at the 8000-9999 level | ||
Any CHP (Community Health and Prevention) course at the 5000-9999 level | ||
Any EOH (Environmental and Occupational Health) course at the 5000-9999 level | ||
Any EPI (Epidemiology) course at the 5000-9999 level | ||
Any HMP (Health Management and Policy) course at the 5000-9999 level | ||
Any PBHL (Public Health) course at the 5000-9999 level | ||
| Total Credits | 44.0-101.0 | |
- 1
Foundational Public Health Knowledge: Public Health Foundations is only required for students who do not have a degree from a CEPH accredited school. Students who have a degree from a CEPH accredited school will take an elective in place of Public Health Foundations.
- 2
Students can take additional 5000-9999 level electives across the university with Faculty Mentor approval.
Program Learning Outcomes
- Master fundamental concepts in probability and statistical theory.
- Construct an analysis plan to evaluate a scientific question of interest.
- Critically appraise statistical methods literature
- Communicate statistical findings effectively and succinctly using data visualization tools and appropriate summaries
- Direct quantitative methods of collaborative investigations with researchers in public health, medicine, and other health science disciplines.