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Program Overview

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. Many students have also chosen the graduate certificate program to start learning biostatistics prior to applying to the MS in Biostatistics program.

Candidates should possess an aptitude for mathematics. Thirty credits (18 credits in core courses, 12 in electives) will be required to earn the Certificate in Biostatistics. The program is comprised of formal didactic sessions and hands-on statistical computing. Classroom and laboratory training will include ample contextualized examples, and analysis projects using real life data. Opportunities exist for mentored collaborative health science research experiences involving ongoing projects with our faculty.

For the Grad Certificate in Biostats Course Outline please look at pages 31-33 in the Student Handbook.

Gainful Employment Regulations

Federal regulations require disclosure of certain information for graduate certificate programs that the U.S. Department of Education defines as “Gainful Employment ” programs. Click on the links for information on the U.S. Department of Labor’s Standard Occupational Classification, program length, estimated tuition and fees as well as other information for the Graduate Certificate in Biostatistics program.

Core Competencies

Students graduating from this program will be able 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


Program Coordinator – Laura Ehrlich, M.Ed.

Program Director – Rochelle Fu, PhD


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