The Implementation and Prevention Science Methods Pathway

Yale’s Implementation and Prevention Science Methods pathway is the first degree program to provide rigorous training in implementation and prevention science methods, including training in the development of new methods to advance the field. Other programs, importantly but quite differently, focus on the practice of implementation science and are targeted to those with subject matter expertise (e.g., in mental health or cancer prevention). Yale’s program, by contrast, targets those wishing to develop scholarly methodological expertise.

The MS BIS Implementation and Prevention Science Methods Pathway degree requires a total of 15 course units from the curriculum below (BIS 525/526 and EPH 100/101 are not for credit). Course substitutions must be approved by the student’s advisor and the DGS. Electives not listed above must be approved by the BIS Implementation Science Specialization Director.

Full-time students take 4 courses for credit each semester. Course schedules with more than 5 courses for credit will not be approved. If students have fewer than 4 required courses to take in their last term, it is acceptable to register for just the courses needed to fulfill the degree requirements.

All courses count as 1 credit unless otherwise noted.

MS Required Courses (12 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]
• BIS 628 Longitudinal and Multilevel Data Analysis
• BIS 630 Applied Survival Analysis [or BIS 643 Theory of Survival Analysis]
• BIS 678 Statistical Practice I
• BIS 679 Advanced Statistical Programming in SAS and R
• BIS 681 Statistical Practice II (master's thesis strongly encouraged in lieu of this course BIS 649/BIS 650)
• BIS 629 Advanced Methods in Implementation and Prevention Science
• EMD 533 Implementation Science
• EPH 509 Fundamentals of Epidemiology
• EPH 608 Frontiers of Public Health (Exempt if the student has an MPH or relevant degree)
• S&DS 541 Probability Theory [S&DS 600 Advanced Probability or S&DS 551 Stochastic Process]
• S&DS 542 Theory of Statistics [or S&DS 610 Statistical Inference]
• BIS 695 Summer Internship in Biostatistical Research - 0 units
• EPH 100/EPH 101 Professional Skills Series - 0 units

Electives (at least 3 required from the list below)

Implementation and prevention science is an interdisciplinary field. The more broadly you are trained, the more effective you will be as an independent statistical researcher as well as a collaborator.

One of the following:

• BIS 536 Measurement Error and Missing Data
• BIS 537 Statistical Methods for Causal Inference
• BIS 631 Advanced Topics in Causal Inference

At least two of the following:

^ Indicates highly recommended for implementation science specialization

• CDE 516 Principles of Epidemiology II
• CDE 534 Applied Analytic Methods in Epidemiology
• EMD 538 Quantitative Methods for Infection Disease Epidemiology
• HPM 570 Cost-effectiveness Analysis and Decision Making ^
• HPM 575 Evaluation of Global Health Policy and Programs
• HPM 586 Microeconomics for Health Policy and Management
• HPM 587 Advanced Health Economics
• HPM 611 Policy Modeling ^
• SBS 541 Community Health Program Evaluation ^
• SBS 574 Developing a Health Promotion and Disease Prevention ^
• SBS 580 Qualitative Research Methods in Public Health ^
• S&DS 565 – Introductory Machine Learning (alternate Yale courses in DATA Mining and Machine Learning will be considered)

Other Courses