Curriculum

MASTERS

Master of Science in Biostatistics

Presented in a one-year, full-time format, the Master of Science in Biostatistics program at Icahn Mount Sinai offers you rigorous and comprehensive didactic training in high-quality clinical and translational research. You will be part of a small cohort consisting of only 5-10 students, giving you the opportunity to gain individualized attention and mentorship from faculty across biostatistics as well as a variety of other disciplines.

In addition to the core coursework within your chosen track (Theory and Methods or Clinical Applications), you will complete an engaging capstone project and learn how to develop appropriate study design-related and methodological solutions to real-world research questions. Through exciting capstone-related lectures and projects, you will:

Engage in important discourse surrounding data management and research ethics
Operationalize conceptual research questions into testable hypotheses and determine the appropriate analytical methods to test their hypotheses
Shadow faculty mentors in the Center for Biostatistics consultation service
Conduct advanced preliminary analyses under the guidance and supervision of faculty

At the end of the Spring 2 term, you will communicate your findings at the Master of Science in Biostatistics Capstone Symposium.

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Track Options

The Theory and Methods track is an excellent choice for students who want to use their knowledge and skills to excel as statisticians in health-related research environments, spanning the fields of laboratory investigations, clinical trials, and biomedical research.

Students are expected to take a total of five required courses (12 credits) in the fall term, five required courses (13 credits) in the Spring 1 term, and three required courses (7 credits) in the Spring 2 term. In addition to the 32 credits of required coursework, students must take at least one two-credit clinical research-related elective, achieving the 34-credit minimum to successfully complete the Master of Science in Biostatistics degree in one year.

Fall 1 Courses

Biostatistics for Biomedical Research
Fundamentals of Epidemiology
Probability and Inference I
Introduction to R Programming
Capstone I
Clinical Trials Management (elective option)

Spring 1 Courses

Theory of Linear & Generalized Linear Models
Analysis of Categorical Data
Probability and Inference II
Applied Biostatistics in Clinical Trials
Capstone II
Health Economics (elective option)

Spring 2 Courses

Analysis of Longitudinal Data
Survival Analysis
Capstone III
The Drug Development Process (elective option)
Molecular Epidemiology (elective option)
Principal Topics in Biomedical Informatics (elective option)
Pharmacoeconomics (elective option)
Race and Causal Inference Seminar (elective option)
Applied Analysis of Healthcare Databases (elective option)

Explore the required coursework and find full course descriptions in the Graduate School Course Catalog.

The Clinical Applications track is designed to prepare students to thrive as clinical and translational researchers with strong methodological foundation in study design clinical trials and analysis.

Students are expected to take a total of six required courses (11 credits) in the fall term, four required courses (12 credits) in the Spring 1 term, and five required courses (9 credits) in the Spring 2 term. In addition to the 32 credits of required coursework, students must take at least one two-credit clinical research-related elective, yielding the 34-credit minimum to successfully complete the Master of Science in Biostatistics degree in one year.

Fall 1 Courses