Computational Biology

Precision medicine, drug development, and cancer research increasingly rely on advanced computational methods to better understand and predict the behavior of complex biological systems. 

The 18-month Master of Science in Computational Biology (MS-CB) responds to the need for leaders in computational biology trained in state-of-the-art approaches, to make use of the vast amount of biological data being generated, address urgent challenges in science, and advance biomedical research. 

The Master of Science in Computational Biology is designed to equip students with both theoretical understanding and practical mastery of computational approaches – machine learning, data science, quantitative genomics, bioinformatics, systems biology, and more – and their applications in biology and medicine. With a nearly 1:2 student-to-faculty ratio, students learn directly from world-class experts in computational biology research from Weill Cornell Medicine and Sloan-Kettering Institute. 

A cornerstone of the program is the thesis project. Students complete a thesis with a faculty mentor whose research interests align closely with their own. Drawing on the expertise of faculty spanning a wide range of research areas and computational approaches, students pursue original research while gaining substantial experience and proven ability to drive an independent research project.

This program prepares students to: 

• Launch careers at the forefront of computational biology, bioinformatics, data science, machine learning, and quantitative modeling in the pharmaceutical, biotechnology, and healthcare industries
• Pursue further education in computational biology at the PhD level