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MS

Master of Science in Biostatistics

The MS in Biostatistics is an academic degree program for students with a background in mathematics and a strong interest in biology and public health. The program emphasizes statistical theory and methods so that students are prepared to be effective statistical collaborators in interdisciplinary studies; and lead the design and execution of studies.

Careers

Recent graduates hold the following positions:
  • biostatistician, Baylor Health Care System, Texas
  • biostatistician, Department of Critical Care Medicine, University of Pittsburgh
  • biostatistician, Department of Oral Biology, University of Pittsburgh
  • biostatistician, Quantitative Health Sciences, Cleveland Clinic, Ohio
  • biostatistician, Yale University/Yale New Haven Hospital Center for Outcomes Research and Evaluation, Conn.
  • programmer analyst, Department of Oral Biology, University of Pittsburgh
  • statistical programmer, BNY Mellon, Pittsburgh, PA

Recent Thesis Titles

Browse titles in D-Scholarship , the institutional repository for research output at the University of Pittsburgh

Competencies

Graduates will be able to:
  • Address health problems by appropriate problem definition, study design, data collection, data management, statistical analysis, and interpretation of results
  • Demonstrate mastery of the theory underlying statistical methods
  • Understand and implement innovative statistical approaches
  • Communicate biostatistical analyses to individuals with varying degrees of statistical knowledge
  • Apply research design principles to problems in public health
  • Recognize strengths and weaknesses of approaches, including alternative designs, data sources, and analytic methods
  • Determine the data best suited to address public health issues, program planning, and program evaluation

Requirements

  • 40 credits, including:
  • Coursework in fundamentals of statistical theory and applications
  • A statistical consulting practicum
  • Coursework in epidemiology and public health
  • Thesis involving innovative data analysis or related to an internship experience

Full program information:

Handbook
Brochure
Consulting Practicum

Admissions

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