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.
Data Structures and Algorithms for Computational Biology
Cellular and Molecular Biology
MS-CB Thesis Research Exploration 1
Possible Elective
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
Possible Elective
Possible Elective
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.
