Graduate School of Medical Sciences
A partnership with the Sloan Kettering Institute

MS-CB Curriculum

Curriculum Overview

The first half of the program contains the foundation and competency courses. These courses include the necessary fundamentals in mathematics, biology, and computer science, and provide training in quantitative biology and bioinformatics. The second half of the program is dedicated mainly to thesis research. Students will join one of our top-notch research labs to work on an independent project, develop more specialized expertise, and increase skills in problem solving, critical thinking, and science communication.

Training Timeline

Fall Term

Data Structures and Algorithms for Computational Biology

Dynamic Models in Biology

Cellular and Molecular Biology

MS-CB Thesis Research Exploration 1

Possible Elective

Spring Term

Analysis of Next-Generation Sequencing Data

Functional Interpretation of High-Throughput Data

Quantitative Genomics & Genetics

Career Development in Computational Biology

MS-CB Thesis Research Exploration 2

Responsible Conduct of Research  

Possible Elective

Summer Term

MS-CB Thesis Research 1

Possible Elective

Fall 2 Term

MS-CB Thesis Research 2

Possible Elective

Winter 2 Term (January-February)

MS-CB Thesis Research 3

Possible Electives

Students are required to take at least two electives among program-approved WCGS and Cornell Tech offerings. At least one elective must cover statistical or machine learning. Possibilities include courses on applied machine learning, deep learning, natural language processing, computer vision, AI, and statistical learning. Other electives include courses on biostatistics, health informatics, biomedical entrepreneurship, genomic innovation, etc.


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Weill Cornell Medicine Graduate School of Medical Sciences 1300 York Ave. Box 65 New York, NY 10065 Phone: (212) 746-6565 Fax: (212) 746-8906