C&S BIO 100
Data Science and Statistics for Life Scientists
Grades
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Workload and assignments
Work types reported in BruinWalk reviews of this course, across recorded instructors and terms. They may differ from this term's syllabus.
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What comes first
The chain dibs can see is 3 courses long before C&S BIO 100. Read from Fall 2026, because dibs has not read a class page for C&S BIO 100 in Spring 2026 and a department can change what it requires. This is a floor, not a deadline: dibs has not read a class page for LIFESCI 30B, LIFESCI 40, MATH 3B, and MATH 3C, so the real chain can only be longer than this, never shorter.
Counted in courses rather than quarters: dibs does not know which of them a department lets you take together.
From the registrar's catalog
Lecture, two hours; laboratory, two hours. Requisites: Computer Science 31 or Program in Computing 10A; Life Sciences 30A and 30B, or Mathematics 3A, 3B, and 3C, or 31A, 31B, and 32A; Life Sciences 40 or Psychology 100A or Statistics 10 or 13. Modern statistics and data science study that builds competency in computational data modeling and analysis. Designed for Computational and Systems Biology majors. Interdisciplinary topics integrate data-driven statistical and computational modeling, and resampling methods for understanding and modeling data. Key topics include advanced data visualization, simple linear regression, clustering, classification, and dimensionality reduction techniques, the same principles and techniques that are the building blocks of machine learning. Study is modular, with opportunities for peer collaboration and proposal writing components. Acquired knowledge and skills may immediately be applied in research or industry settings. P/NP or letter grading.
Sections in Spring 2026
From the people who took it
Student reviews
What taking C&S BIO 100 was like: the work, the teaching, and what students wish they’d known.
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