Learning Resources

As a Biomedical Informatics student at the Icahn School of Medicine at Mount Sinai, you’ll have access to a variety of resources available within the School and Health System.

Gustave L. and Janet W. Levy Library

The Gustave L. and Janet W. Levy Library supports clinical, educational, and research programs through its reference and instructional services, as well as its extensive digital collection of biomedical information resources. The library’s website serves as the gateway to more than 10,000 biomedical, science, and health related online journals, 50,000 full-text electronic books, and over 100 databases.

Access to the online library collection for students is available throughout the institution as well as off-campus. Off-campus access to resources is provided through the library’s website. Interlibrary loan services may be used for journal articles and books not available in the library’s collection, and can be completed via email. The library is open daily for the use of faculty, students, and staff.


BlackBoard is Mount Sinai’s primary academic content platform. As a student, BlackBoard will provide you with:

  • A secure and centralized platform to store course materials such as syllabi, lecture notes, links to lecture videos.
  • Collaboration through a variety of embedded tools.
  • Custom course and media materials, including Echo360 recording and access to unlimited storage via an unlisted YouTube link.
  • Announcements sent via email or SMS method.

Computational and Informatics Tools

Our students will also have access to significant computational and informatics tools containing "live" data from the Health System. This access includes the Mount Sinai Data Warehouse, and the Minerva Supercomputer. Students will have access to these resources throughout their tenure.

The principal objective of the Mount Sinai Data Warehouse (MSDW) is to make data easily accessible for planning and executing clinical and translational research, as well as for quality of care and process improvement initiatives. The MSDW also allows us to monitor and improve the quality and integrity of the data available for research and analysis. The MSDW contains detailed clinical and financial inpatient and outpatient data, sourced from 25 Mount Sinai centers, encompassing more than three million patients and approaching two billion facts. Students will have open access to the self-service, web-based Cohort Query Tool, which displays deidentified patient information. During their capstone project, students may also have access to identified patient data (after appropriate HIPAA training).

Mount Sinai also has a supercomputer named Minerva. Minerva has over 12,000 cores (plus 200 teraflops of compute cycles) and 10 petabytes of storage. Students will learn how to use this machine as part of their Introduction for Scientific Computing course. Students may also use this resource as part of the capstone project. Students will also have access to the Scientific Computing staff.