Doctor of Philosophy with a major in Biostatistics

Print Degree Planner (opens a new window) |

Program Overview

The doctoral program prepares students 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. Doctoral students are also prepared to carry out original methodological research in statistics and apply the resulting methodology to health-related research problems.

https://www.augusta.edu/gradstudies/programs/mcg-phd-biostatistics.php

Program Coordinator

Jie Chen, PhD

706-721-3278

gradstudies@augusta.edu

Progression & Graduation Requirements

The Doctor of Philosophy curriculum is not lock-step; students do not graduate as a class at the end of the specific semester.
The maximum duration of the program is 7 years.
STAT 9300 - Dissertation Research must be taken every semester after admission to candidacy until dissertation requirements are met.
The Ph.D. program is designed to be completed in 4-5 years. The curriculum for the program includes (1) formal coursework, (2) preliminary and comprehensive exams, and (3) original research conducted under the supervision of a faculty mentor that leads to a successfully defended dissertation, as specified by the policies of the Department of Biostatistics and the School of Graduate Studies.

Click here for a term by term view.

Degree Requirements: 127-133 Hours

BIOM 8011 - Responsible Conduct of Research (1 Credit Hour)
DATS 7510 - Programming for Data Analysis (3 Credit Hours)
DATS 8170 - Advanced Computational Methods (3 Credit Hours)
STAT 7110 - Statistical Models and Methods (3 Credit Hours)
STAT 7520 - Statistical Theory I (3 Credit Hours)
STAT 7620 - Statistical Theory II (3 Credit Hours)
STAT 7630 - Applied Linear Models (3 Credit Hours)
STAT 7640 - Generalized Linear Models I (3 Credit Hours)
STAT 7720 - Survival Analysis (3 Credit Hours)
STAT 7870 - Biostatistical Consulting in Research (3 Credit Hours)
STAT 8890 - Readings and Research (1 TO 12 Credit Hours) * totaling 18-30 hours
STAT 9120 - Theory of Linear Models (3 Credit Hours)
STAT 9140 - Generalized Linear Models II (3 Credit Hours)
STAT 9220 - Advanced Statistical Inference (3 Credit Hours)
STAT 9240 - Bayesian Inference (3 Credit Hours)
STAT 9300 - Dissertation Research (1 TO 12 Credit Hours) totaling 36-54 hours
No summer courses are required. Enrolling in STAT 8890 in the first three summers is optional (without summer funding).

*1st attempt Comp Exam: first two weeks in the third fall semester for students who enter the program Fall 2019 and thereafter; 2nd attempt Comp Exam: two weeks before the end of the third fall semester.

Information for:

Resources

Learning
Like No Other