Program Information

The interdisciplinary PhD program in Biostatistics is a collaboration between the Department of Statistics in the College of Arts and Sciences and the Division of Biostatistics in the College of Public Health.
 

The goal of the program in Biostatistics is to provide trained personnel to the biostatistics community, including academia, industry, and government. Our curriculum is designed to develop each student's ability to create new methodologies as well as address applied questions that arise from the biomedical sciences and public health. 

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Curriculum overview

The doctoral program requires a minimum of 80 credit hours with at least 60 credit hours of coursework. The remaining credit hours are independent study and research to develop your dissertation, or other courses. The curriculum includes a mix of core statistics courses, public health coursework and electives in biostatistics and statistics.

Sample course sequence

  Autumn Semester Spring Semester
First Year
  • STAT 6211 (Foundations I)  
  • STAT 6801 (Stat Theory I)  
  • STAT 6910 (Appl Stat I)
  • STAT 6212 (Foundations II)  
  • STAT 6802 (Stat Theory II)  
  • STAT 6950 (Appl Stat II)
Second Year
  • STAT 7301 (Adv Stat Theory)  
  • STAT 7410 (Lin Mod)  
  • PUBHBIO 8899 (Doctoral Seminar) 
  • PUBHBIO 6260 (Ethics in Biostat)
  • STAT 7430 (GLM)
  • PUBHBIO 8235/STAT 7605/STAT 8605 (Adv Survival)
  • PUBHBIO 7245/STAT 7755 (Biostat Collab)
Third Year
  • PUBHEPI 6410 (Prin Epi)
  • Public Health or Elective Courses
  • STAT 7730 (Stat Computing)
  • STAT 6570 (App Bayes)
  • Public Health or Elective Courses
Fourth Year and Beyond
  • Public Health or Elective Courses
  • Public Health or Elective Courses

*Students are encouraged to consider taking STAT 6570 in the spring of their first year.


Download current program guide

 

Students matriculated before 2024: Archived Program Guide