1. Master of Science in Biostatistics
Curriculum

Curriculum

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.

Track Options

Our curriculum emphasizes strong quantitative training, critical thinking skills, and practical strategies for addressing complex challenges of novel, clinical research. We offer two tracks to individualize your experience: Theory and Methods and Clinical Applications.

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

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

Spring 1 Courses

  • Theory of Linear & Generalized Linear Models
  • Analysis of Categorical Data
  • Applied Biostatistics in Clinical Trials
  • Capstone II
  • Professionalism & Ethics in Clinical Research
  • Health Economics (elective)
  • Introduction to Socio-Behavioral Health (elective)
  • Genetic Epidemiology (elective)

Spring 2 Courses

  • Applied Analysis of Healthcare Databases
  • Race and Causal Inference Seminar
  • Capstone III
  • Applied Linear Models
  • Molecular Epidemiology (elective option)
  • Principal Topics in Biomedical Informatics (elective option)
  • Pharmacoeconomics (elective option)

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

Biostatistics Master’s Degree Program

MS in Biostatistics at Mount Sinai