Ph.D. In Biostatistics Courses
Track A: Students who meet prerequisite requirements
(1) A minimum of three semesters of calculus, including partial derivatives and techniques for solving multiple integrals, (2) One semester of linear algebra, (3) One semester of probability theory, (4) Four additional courses in statistics or biostatistics. The four courses are to include a general introduction, linear regression, introductory mathematical statistics and at least one more course (commonly drawn from survey sampling, multivariate, time series, nonparametrics, etc.), and (5) At least two additional courses in statistics, biostatistics or related fields.
Track B: Do not meet all prerequisite requirements
During the first year, students are expected to make up any deficiencies. This will be decided on a case-by-case basis by the graduate program director.
Note that admission to the Ph.D. program requires two additional courses in statistics, biostatistics and related fields in comparison to the Master’s program in biostatistics.
| Fall Y1 |
Course |
Credits |
| BST |
Applied Linear Regression |
4 |
| BST |
Introduction to Probability and Distribution Theory |
3 |
| – |
Elective |
3 |
| BST 650 |
Topics in Biostatistics Research |
1 |
| Total |
– |
10 |
| Spring Y1 |
Course |
Credits |
| BST |
Inference |
3 |
| BST 575 |
Generalized Linear Models |
3 |
| – |
Elective |
3 |
| BST 650 |
Topics in Biostatistics Research |
1 |
| Total |
– |
11 |
| Fall Y2 |
Course |
Credits |
| EPH 651 |
Survival Analysis |
3 |
| BST 640 |
Applied Modern Multivariate Analysis |
3 |
| – |
Elective |
3 |
| BST 650 |
Topics in Biostatistics Research |
1 |
| Total |
– |
10 |
| Spring Y2 |
Course |
Credits |
| BST 630 |
Longitudinal Data |
3 |
| BST |
Advanced Clinical Trials |
3 |
| – |
Elective |
4 |
| BST 650 |
Topics in Biostatistics Research |
1 |
| Total |
– |
11 |
| Fall Y3 |
Course |
Credits |
| BST |
Advanced Statistical Theory |
3 |
| BST |
Advanced Statistical Computing or Consulting Practicum (BST 510) |
3-4 |
| – |
Elective |
3 |
| BST 650 |
Topics in Biostatistics Research |
1 |
| Total |
– |
10 |
| Spring Y3 |
Course |
Credits |
| BST |
Advanced Survival Analysis |
3 |
| BST |
High Dimensional and Complex Data |
3 |
| – |
Elective |
3 |
| BST 650 |
Topics in Biostatistics Research |
1 |
| Total |
– |
10 |
In order to take Advanced Statistical Computing and the Consulting Practicum courses, students must already have the equivalent of BST 525 Survey of Statistical Computing.
A written diagnostic exam will be given at the end of the first year to ensure the student has made up deficiencies and is making adequate progress. This exam will be required of all students (Master’s and Ph.D.), and covers basic foundational material every graduate should have thoroughly assimilated. Students who perform poorly on the exam are required to demonstrate their mastery of the material in some other way, which is handled on a case-by-case basis.
A second, oral and written exam will be administered at the end of the third year. Once a student passes the second exam, they will formally become a Ph.D. candidate.