PhD PROGRAM IN BIOSTATISTICS

PhD Biostatistics Program @ Augusta University

The doctoral degree (PhD) in Biostatistics prepares individuals to understand the mathematical and theoretical basis of statistical methodology; collaborate on the design of research studies in the health sciences; provide advice on the proper collection, entry, storage, retrieval, and manipulation of data; and take primary responsibility for the analysis, interpretation and dissemination of data in a research study using state-of-the-art statistical methods and software. PhD students are also prepared to carry out original methodological research in statistics and apply the resulting methodology to health-related research problems. 

General Information
The PhD program curriculum includes

  • Didactic coursework
    • 40 hours of core coursework
    • 21 hours of elective coursework with at least 9 credit hours at the 9000-level
  • Preliminary and Comprehensive Exams, and
  • Dissertation of original methodological statistical research applicable to the health sciences

Funding for PhD Students
We offer a Graduate Research Assistantship to competitive PhD students that consists:

  • A $25,000 per year stipend
  • Student health insurance for a single adult, and
  • Tuition reduction to $25 per semester. 

Graduate Research Assistants provide statistical consulting support as well as methodological statistical work with their mentor in order to gain practical application and methodological development skills on real world applications of biostatistics in the health sciences.

Check out a complete sample list of the courses and course descriptions.

Year

Fall

Spring

Summer

1

STAT 8110 – Intro to Biostatistics (3)

 

STAT 8520 – Stat

Theory I (3)

 

STAT 8510 – Programming for Data Analysis (3)

 

TGSS 8011 – RCR (1)

STAT 8630 – Applied

Linear Models (3)

 

STAT 8620 – Stat Theory II (3)

 

STAT 8130 – Intro to Epidemiology (3)

 

STAT 8870 – Biostat Consulting Research (3)

 

No summer courses are required.

 

Enrolling in Stat 8890 RR

Is optional (without summer funding).

 

 

 

 

2

STAT 9220 Advanced Stat Inference (3) or

STAT 9120 – Theory of Linear Models (3)

 

STAT 8640 – Gen Linear Models I (3)

 

STAT 9170 – Advanced Comp Methods (3)

 

STAT 8890 – RR (1-3)

STAT 9140 -Gen Linear Models II (3) or

STAT 9240 – Bayesian Inference (3)

 

Elective (3)

 

Elective (3)

 

STAT 8890 – RR (1-3)

 

 

No summer courses are required.

 

Enrolling in Stat 8890 RR

Is optional (without summer funding).

 

 

3

STAT 9220 Advanced Stat Inference (3) or

STAT 9120 – Theory of Linear Models (3)

STAT 9140 – Gen Linear Models II (3) or

STAT 9240 – Bayesian Inference (3)

 

Electives (3)

 

STAT 8890 – RR (1-3)

Electives (3)

 

Elective (3)

 

STAT 8890 – RR (3)

 

 

No summer courses are required.

 

Enrolling in Stat 8890 RR

is optional (without summer funding).

 

 

 

4

STAT 8890 – RR (9)

 

Elective (3)

 

STAT 9300 –Dissertation Res (DS) (9) or STAT 8890 RR (9)

 

Elective (3)

 

STAT 9300 – DS (12)

 

 

5

STAT 9300 – DS (12)

STAT 9300 – DS (12)

 

STAT 9300 – DS (12)

 

INTERESTED IN BECOMING A STUDENT?

For more information on the course pre-requisites and other requirements for
applying to the PhD program in Biostatistics, see our Prospective Students page.

 

Prospective Students