Graduate Certificate in Biostatistics
Graduate Certificate Program Summary
Please visit our Graduate Certificate Admissions page for detailed application instructions.
The Graduate Certificate in Biostatistics program will provide basic and intermediate graduate level biostatistics training for a diverse range of students in the health sciences. It is primarily aimed at researchers, students in other programs, and working professionals who are interested in becoming more skilled in applied biostatistics methods and theory.
Candidates should possess an aptitude for mathematics and a desire to learn biostatistics. Thirty (30) credits (18 credits in core courses, 12 in electives) will be required to earn the Certificate in Biostatistics which can be taken on a part-time or full-time basis. The program is comprised of formal didactic sessions and hands-on statistical computing. Classroom and laboratory training will include ample contextualized examples. Opportunities exist for mentored collaborative health science research experiences involving ongoing projects at OHSU.
Goals of the program
The program will produce high quality graduates equipped with a well-rounded background in applied biostatistics and skills to:
- Perform a broad range of basic and intermediate level applied statistical procedures that are required in basic, clinical, population and translational sciences.
- Interpret and summarize analysis results in research reports and papers and communicate them to individuals with varying degrees of statistical knowledge.
- Apply the principles of research design to address problems in basic, clinical, and population sciences.
- Identify strengths and weaknesses of alternative designs and analytic methods.
- Conduct analyses for the student's own research projects or provide support to collaborative research teams.
Review of completed applications will start in mid-April, but we will continue to accept applications received by April 30 or until program capacity is reached. Therefore, we strongly suggest applications be made in advance of the April 30 deadline.
For more information, please contact email@example.com.
(18 credits total)
BSTA 512 Linear Models – 4 credits
BSTA 513 Categorical Data Analysis – 4 credits
BSTA 514 Survival Analysis – 3 credits -OR- BSTA 519 Applied Longitudinal Data Analysis
BSTA 510 Biostatistics Lab – 3 credits (taken in the same quarter)
An additional 12 elective credits can be taken from the following:
BSTA 500 Reading and Research in Biostatistics - 1-3 credits
BSTA 504 Topics in Biostatistics - 3 credits
BSTA 514 Survival Analysis - 3 credits (if not taken as an elective as noted above)
BSTA 515 Data Management and Analysis in SAS – 3 credits
BSTA 516 Design and Analysis of Surveys – 3 credits
BSTA 517 Statistical Methods in Clinical Trials – 3 credits
BSTA 519 Applied Longitudinal Data Analysis (if not taken as a required course as noted above)
BSTA 531 Lean & Six Sigma I - 3 credits
BSTA 532 Lean & Six Sigma II - 3 credits
PHPM 512 Epidemiology I – 4 credits
PHPM 513 Epidemiology II (Methods) – 4 credits
BMI 550 Computational Biology I – 4 credits
BMI 551 Computational Biology II – 4 credits