MPH - Biostatistics Track | Icahn School of Medicine

EDUCATION

Department of Public Health and Public Health Education Programs

The Public Health Data Analytics concentration in the Master of Public Health (MPH) program prepares students to harness innovative and advanced analytical tools and data science techniques to address pressing public health issues. By bridging foundational public health knowledge with cutting-edge data science methodologies, students gain advanced analytical skills using modern methodologies, such as AI, Machine learning, and GIS (Geographic Information System) to manage and analyze big population datasets. Through didactic and practical experience, students will gain hands-on experience to implement data analytical skills on a variety of large and complex public health datasets and learn how to thoughtfully interpret results. Courses in this concentration address a wide variety of topics, such as rigorous public health data modeling methodologies, epidemiological data analysis with R and Python programming, and machine learning and geo-informatics methods and applications in public health. Students can also take advantage of several AI educational and practical opportunities at the Icahn School of Medicine at Mount Sinai,

We offer a practical foundation in biostatistics through courses in important areas such as statistical inference, probability, multivariable models, analysis of longitudinal and time to event (or survival) data, genetics, and statistical computing. Students in this concentration complete a capstone project as their culminating experience requirement.

Please note that while the Master of Public Health degree is typically a two-year undertaking, students in this concentration who enroll for the spring term should allow more than two years to complete the program.

Apply Now Register for An Info Session Request Information

Learn More About This Concentration

To determine if the Biostatistics concentration is right for you, explore the additional resources and get a preview of the competencies and courses.

Students in this concentration will develop skills and competencies to be successful in public health including:

Apply the necessary quantitative, logical, or computational skills to successfully conduct clinical research.
Translate clinical questions into statistical hypotheses.
Construct and manage datasets for cross-sectional and longitudinal studies using statistical software.
Develop analytical strategies that take account of the specific qualities of data to be analyzed, sources of variation, or assumptions required.
Effectively communicate complicated statistical concepts and results to clinical colleagues or community partners.

The MPH degree requires the completion of a total of 45 credits, an applied practice experience, and a culminating experience. In addition to the general course requirements, students will take these concentration-specific courses:

Introduction to Probability
Introduction to Biostatistics
Introduction to Epidemiology
Epidemiology II
Statistical Computing with SAS
Applied Linear Models I
Applied Linear Models II

Remaining credits are accrued through electives, seminars and independent study. The concentration advisor should be consulted early to plan ahead for the completion of the MPH degree requirements. Refer to the Biostatistics Checklist for a full list of courses.