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.
Typical Training Timeline
Fall Term
Data Structures and Algorithms for Computational Biology
Cellular and Molecular Biology
MS-CB Thesis Research Exploration 1
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
Possible Elective
Fall 2 Term
Elective
Winter 2 Term (January-February)
Electives
Electives can be chosen among WCGS and Cornell Tech offerings, with prior program director approval. These include courses on biomedical entrepreneurship, optimization methods, biostatistics, health informatics, signal processing, Bayesian estimation, magnetic resonance imaging, genomic innovation, etc.