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Northwestern University Feinberg School of Medicine
Center for Education in Health Sciences
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Curriculum

  • The MS in Biostatistics is a one-year, full-time program offered during the summer (July-August), fall (September-December), winter (January-March) and spring (March-June) quarters. Students must begin the program during the summer quarter.
  • Part-time students may complete the program in two years.
  • The curriculumis comprised of a variety of courses that allow students to gain key competencies in their field and focus on specific areas of application.
    • All MS in Biostatistics students take a series of core courses in biostatistics, epidemiology and statistical programming.
    • Concentration ‘selectives’ and electives round out coursework according to student interests and selected concentrations. Select example courses include:
      1. Introductory / Intermediate / Advanced Biostatistics
      2. Introductory / Intermediate / Advanced Epidemiology
      3. R Programming
      4. Data Management and Analysis in SAS
      5. Survival Analysis
      6. Statistical Consulting
      7. Ethical Issues in Clinical Research
      8. Design, Conduct, and Analysis of Clinical Trials
      9. Health and Biomedical Informatics
      10. Writing and Peer Review for Publication
      11. Statistical Genetics
    • All students complete a thesis in the form of a collaborative research project. The thesis project provides students the opportunity to apply methods learned through coursework to analyze real-world data in collaboration with both biostatistics and medical research faculty.
  • Degree Concentrations
    1. Population Health Analytics: The Population Health Analytics concentration is designed for college graduates or students with professional degrees (e.g., MD, DPT, allied health professionals) who intend to plan, direct and execute health research. This concentration emphasizes both biostatistical and epidemiological methods for population health research.
    2. Statistical Bioinformatics: The Statistical Bioinformatics concentration prepares students to work as statistical analysts or programmers on research teams. Courses emphasize biostatistics, cutting-edge computation and analysis of genomics and other bioinformatics ‘big data.’
    3. Statistical Methods & Practice: The Statistical Methods & Practice concentration prepares students to work as statistical analysts or programmers on research teams. Courses emphasize a broad range of statistical theory, methods and computation for data from health and medical research settings.
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