Biostatistics, Graduate Certificate*

General Program Information

The Graduate Biostatistics Certificate is a 13-credits 100% online program housed in the ETSU College of Public Health, Biostatistics and Epidemiology Department. 

This program provides access to a selection of master level courses in biostatistics for students wanting to earn a robust, applied skill set in a short timeframe.     

Our students are online learners seeking to explore biostatistics’ career potential or further their professional effectiveness. Many of our certificate graduates continue their studies by enrolling in our MPH programs.  

Admission to the Program

In addition to the admissions criteria set by the ETSU Graduate School, the following is required:

1. a resume or curriculum vitae,
2. a statement of interest, and
3. a virtual interview.

Factors considered in the admission decision include the applicant’s educational goals and demonstrated ability to succeed in the program.

Program of Study

The program of study consists of four (4) courses. Two (2) are required courses and the other two (2) are elective courses students will select from a list of Advisor Approved Electives.

Articulation Agreement

Students who have completed the Biostatistics Graduate Certificate and subsequently are admitted into the MPH in Biostatistics may have up to thirteen (13) of the certificate credits applied toward the degree program of study.

Biostatistics, Graduate Certificate Requirements: 13 credits

Required Courses: 7 credits

• BSTA 5350 - Intermediate Biostatistics (3 credits)
• EPID 5100 - Analytic Methods in Public Health (4 credits)

Advisor Approved Electives: 6 credits

Select 6 credits from the list below.

• BSTA 5360 - Clinical Research: Design and Analysis (3 credits)
• BSTA 5370 - Categorical Data Analysis (3 credits)
• BSTA 5385 - Applied Longitudinal Data Analysis (3 credits)
• BSTA 5390 - Survival Analysis in Public Health (3 credits)
• BSTA 6170 - SAS Programming with Research Applications in Public Health (3 credits)
• CSCI 5000 - Data Management (3 credits)
• CSCI 5010 - Programming for Data Analytics (3 credits)
• STAT 5217 - Statistical Machine Learning (3 credits)
• STAT 5730 - Applied Multivariate Statistical Analysis (3 credits)