2016-2017 Public Health Specialization

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

PUBHBIO 7245/STAT 7755

Biostatistical Collaboration

STAT 7301

Advanced Statistical Theory I

3

STAT 7410

Theory of the Linear Model

STAT 7430

Generalized Linear Models

3 

STAT 7730

Advanced Statistical Computing

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


or STAT 7540

Applied Stochastic Processes


Theory of 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)

 

 

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) 

 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