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INFORMATION FOR

Requirements - Biostatistics Standard Pathway

2022-23 Matriculation
The MS 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 681 Statistical Practice II - 1 unit
  • EPH 509 Fundamentals of Epidemiology - 1 unit
  • EPH 608 Frontiers 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] see notes - 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
  • EPH 100 (Fall); EPH 101 (Spring) Professional Skills Series - 0 units

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 629 Advanced Methods for Implementation and Prevention Science
  • 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 612 Linear Models - 1 unit
  • S&DS 565 Introductory Machine Learning - 1 unit

Other Courses

  • BIS 649/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.

Students should take 4 courses for credit each semester (BIS 525/526, EPH 600, EPH 100/101 are not for credit). Course schedules with more than 5 courses for credit will not be approved.

Rev. 09.08.22

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Additional resources for current students and faculty related to programs and requirements.