Biostatistics PhD

Major: Biostatistics
Degree Awarded: Doctor of Philosophy (PhD)
Calendar Type: Quarter
Minimum Required Credits: 90.0 (post-bachelor's) or 57.0 (post-master's)
Co-op Option: None
Classification of Instructional Programs (CIP) code: 26.1102
Standard Occupational Classification (SOC) code: 15-2041

About the Program

The Doctor of Philosophy in Biostatistics trains highly functional statistical researchers with the breadth of knowledge to contribute to many applied domains or to specialize in a single theoretical domain. Students will receive a strong, quantitative foundational core in statistical theory while simultaneously having opportunities to apply these concepts to a wide range of practical applications. An important feature of the program is deliberate exposure to more contemporary quantitative concepts in data science.

The program will offer interdisciplinary instruction and research opportunities that are designed to provide a solid training in both statistical theory and in applications of biostatistical methods to a variety of relevant contexts that are central to modern interdisciplinary research. The program will prepare students for successful careers in academia (both teaching and research), government agencies, private health-related organizations/industries, and many other data-driven industries. 

Students will take a comprehensive exam that requires them to synthesize coursework and demonstrate mastery of public health competencies. Students will then develop and defend a dissertation proposal and complete a dissertation of publishable quality and final defense.

Post-Baccalaureate Requirements and Post-Master's Requirements

Both post-baccalaureate and post-master's students are admitted into the doctoral program in Biostatistics.

For post-master’s students in a related field, students must complete a minimum of 57.0 credits.

For post-baccalaureate students, students must complete a minimum of 90.0 credits.

Major Competencies

• 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

Additional Information

For more information about this program, please contact:

DSPH Academic Advising Team
Office of Education
​dsphadvising@drexel.edu

Additional information can be found on the Dornsife School of Public Health website, including admissions criteria and how to apply.

Degree Requirements

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Students entering the PhD program with a master's degree in a related field may be waived from these classes, as determined by the PhD Biostatistics Admissions Committee.

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Foundational Public Health Learning Objectives: PBHL 501 is only required for students who do not have a degree from a CEPH accredited school.

Sample Plan of Study

*

PBHL 501 is only required for students who do not have a degree from a CEPH accredited school.

Alternative Plan of Study

(Students entering the PhD program with a master's degree in a related field, as determined by the PhD Biostatistics Admissions Committee)

*

PBHL 501 is only required for students who do not have a degree from a CEPH accredited school.