If you matriculated between 2012 and 2016, please visit the 2012-2016 Public Health Specialization webpage.
2016-2017 Public Health Specialization
Curriculum
|
Area/Course |
Title |
Credits |
|---|---|---|
|
Core Math |
|
|
|
MATH 4545 |
Analysis Overview |
4 |
|
|
Core Math Credits |
4 |
|
Core Statistics |
|
|
|
STAT 6570 |
Applied Bayesian Analysis |
2 |
|
STAT 6801 |
Statistical Theory I |
4 |
|
STAT 6802 |
Statistical Theory 2 |
4 |
|
STAT 6860 |
Foundations of the Linear Model |
2 |
|
STAT 6910 |
Applied Statistics I |
4 |
|
STAT 6950 |
Applied Statistics II |
4 |
|
PUBHBIO 7245/STAT 7755 |
Biostatistical Collaboration |
2 |
|
STAT 7301 |
Advanced Statistical Theory I |
3 |
|
STAT 7410 |
Theory of the Linear Model |
3 |
|
STAT 7430 |
Generalized Linear Models |
3 |
|
STAT 7730 |
Advanced Statistical Computing |
3 |
|
PUBHBIO 8235 or STAT 8605 |
Advanced Regression Modeling of Time-to-Event Data Advanced Survival Analysis |
3 |
|
|
Core Statistics Credits |
37 |
|
Core Biostatistics |
|
|
|
PUBHBIO 7215 / STAT 6615 |
Design and Analysis of Clinical Trials |
2 |
|
STAT 6540
|
Applied Stochastic Processes
|
3
|
|
Core Biostatistics Credits |
5 |
|
|
Epidemiology |
|
|
|
PUBHEPI 6410 |
Principles of Epidemiology |
3 |
|
|
Epidemiology Credits |
3 |
|
Cognate |
|
|
|
|
Courses in a health-related field outside of statistics/biostatistics, as approved by the student’s dissertation committee |
6 |
|
|
Cognate Credits |
6 |
|
Electives |
|
|
|
6000-level STAT or 7000-level PUBHBIO |
As approved by the student’s dissertation committee |
6 |
|
|
Elective Credits |
6 |
|
|
Total Credit Hours |
61 |
TOTAL COURSE HOUR REQUIREMENTS: The doctoral program requires a minimum of 80 credits, including the 61 credits of courses listed above. Note that the required curriculum leaves a maximum of 20 of the required 80 hours available for individual reading and research related to developing the dissertation. However, students may exceed the 80 required hours. A maximum of 30 credits of master’s degree work may be applied to PhD requirements if approved by the Graduate Studies Committee. A grade of B- or better is required in all courses in the PhD program. Students should be familiar with and follow any additional Graduate School enrollment rules and procedures.
Sample Program
|
|
Autumn |
Spring |
|
|
|---|---|---|---|---|
|
First Year |
STAT 6801 (Statistical Theory I)
|
4 |
STAT 6802 (Statistical Theory II)
|
4 |
|
|
STAT 6910 (Applied Statistics I) |
4 |
STAT 6950 (Applied Statistics II) |
4 |
|
|
MATH 4545 (Analysis Overview) |
4 |
STAT 6860 (Foundations of the Linear Model) |
2 |
|
|
|
STAT 6570 (Applied Bayes) |
2 | |
|
Second Year |
PUBHEPI 6410 (Principles of Epidemiology) |
3 |
STAT 7430 (Generalized Linear Models) |
3 |
|
|
STAT 7301 (Advance Statistical Theory I) |
3 |
PUBHBIO 8235 or STAT 8605 (Advanced Regression Modeling of Time-to-Event Data or Advanced Survival Analysis) |
3 |
|
|
STAT 7410 (Theory of Linear Model) |
3 |
STAT 6540 or 7540 (Stochastic Processes) |
3 |
|
Third Year |
STAT 7730 (Advanced Statistical Computing) |
3 |
PUBHBIO 7245/STAT 7755 (Biostatistical Collaboration) |
2 |
|
|
Cognate/Elective |
|
PUBHBIO 7215/STAT 6615 (Clinical Trials) |
2 |
|
|
Cognate/Elective |
|
Cognate/Elective |
