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Requirements - Biostatistics Standard Pathway

The M.S. degree requires a total of 15 course units. The M.S in Biostatistics requires the student to complete or acquire an exemption from the following courses. Full time students must carry a minimum of 4 course units each semester. Course substitutions (other than those listed) must be approved by the academic advisor and the DGS.

MS Required Courses (10 course units)

  • BIS 525 Seminar in Biostatistics and Journal Club - 0 units
  • BIS 526 Seminar in Biostatistics and Journal Club - 0 units
  • BIS 623 Advanced Regression Models [or S&DS 612 Linear Models] - 1 unit
  • BIS 628 Longitudinal and Multilevel Data Analysis - 1unit
  • BIS 630 Applied Survival Analysis [or BIS 643 Theory of Survival Analysis] - 1unit
  • BIS 678 Statistical Practice I - 1 unit
  • BIS 679 Advanced Statistical Programming in SAS and R - 1 unit
  • BIS 681Statistical Practice II - 1 unit
  • EPH 508 Foundations of Epidemiology and Public Health - 1 unit
  • EPH 608Frontiers of Public Health * - 1 unit
  • EPH 600 Research Ethics and Responsibilities - 0 units
  • S&DS 541 Probability Theory [or S&DS 600 Advanced Probability or S&DS 551 Stochastic Process] - 1 unit
  • S&DS 542 Theory of Statistics [or S&DS 610 Statistical Inference] - 1 unit
  • BIS 695 Summer Internship in Biostatistical Research - 0 unit

MS Electives in Biostatistics (2 course units)

Suggested electives: (Many other courses within Biostatistics, YSPH & the Statistics & Data Science Dept. are considered acceptable electives.)

  • BIS 557 Computational Statistics - 1 unit
  • BIS 567 Bayesian Statistics - 1 unit
  • BIS 643 Theory of Survival Analysis - 1 unit
  • BIS 646 Nonparametric Statistical Methods and their Applications - 1 unit
  • BIS 691 Theory of Generalized Linear Models - 1 unit

MS Electives in Statistics and Data Sciences (3 course units)

Suggested electives: (Other graduate level courses within the Statistics & Data Science Dept. are considered acceptable electives.)

  • S&DS 563 Multivariate Statistical Methods for the Social Sciences - 1 unit
  • S&DS 565 Applied Data Mining and Machine Learning - 1 unit
  • S&DS 612 Linear Models - 1 unit
  • S&DS 555 Introduction to Machine Learning - 1 unit

Other Courses

  • EPH 100 Professional Skills Series (Fall) - 0 units
  • EPH 101 Professional Skills Series (Spring) - 0 units
  • BIS 649 and BIS 650 Master’s Thesis Research Students choosing this option must present their research in a public seminar to graduate - 2 units

*Students entering the program with an MPH or relevant graduate degree may be exempt from this requirement.

rev. 9.23.2020