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Course information comes from the public UCLA General Catalog. Requisites are read from UCLA’s published wording and can be incomplete or out of date — check the official catalog listing and your department adviser before you enroll.

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C&S BIO 100Data Science and Statistics for Life Scientists

Computational and Systems Biology · 4 units · Undergraduate upper division (100-199)

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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.

When it runs

Checking the Schedule of Classes…

Requisites

Official UCLA wording

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.

BruinTree reads · Prerequisite

confidence 1.00 · from UCLA’s structured data
all of
  • one of
    • COM SCI 31
    • COMPTNG 10A
  • one of
    • all of
      • LIFESCI 30A
      • LIFESCI 30B
    • all of
      • MATH 3A
      • MATH 3B
      • MATH 3C
    • all of
      • MATH 31A
      • MATH 31B
      • MATH 32A
  • one of
    • LIFESCI 40
    • PSYCH 100A
    • STATS 10
    • STATS 13

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About C&S BIO 100. We read UCLA’s requisite wording by machine, and it gets things wrong.

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Requires

Everything that has to come before this course, not just the courses named in the requisite above.

C&S BIO 100

  • COM SCI 31Introduction to Computer Science I
  • COMPTNG 10AIntroduction to Programming
  • LIFESCI 30AMathematics for Life Scientists
  • MATH 3ACalculus for Life Sciences Students
    • MATH 1Precalculus
  • PSYCH 100APsychological Statistics
    • COMPTNG 10AIntroduction to Programminganother path to it
    • PSYCH 10Introductory Psychology
    • STATS 10Introduction to Statistical Reasoninganother path to it
  • STATS 10Introduction to Statistical Reasoning
  • LIFESCI 30BMathematics for Life Scientists
    • LIFESCI 30AMathematics for Life Scientistsanother path to it
  • MATH 3BCalculus for Life Sciences Students
    • MATH 3ACalculus for Life Sciences Studentsanother path to it
  • STATS 13Introduction to Statistical Methods for Life and Health Sciences
  • LIFESCI 40Statistics of Biological Systems
    • LIFESCI 30AMathematics for Life Scientistsanother path to it
  • MATH 3COrdinary Differential Equations with Linear Algebra for Life Sciences Students
    • MATH 3BCalculus for Life Sciences Studentsanother path to it
  • MATH 31ADifferential and Integral Calculus
    • MATH 1Precalculusanother path to it
  • MATH 31BIntegration and Infinite Series
    • MATH 31ADifferential and Integral Calculusanother path to it
  • MATH 32ACalculus of Several Variables
    • MATH 31ADifferential and Integral Calculusanother path to it

14 direct requisites. The whole upstream is here — 25 courses over 2 levels. Every course here opens its own tree.

Unlocks

What this course is a requisite for, and what those courses lead to in turn.

No course in the catalog lists this as a requisite.

  • Fall 2025
  • Winter 2026
  • Fall 2026
  • Spring 2027

Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.