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 Requisites are read from UCLA’s published wording and can be incomplete or out of date — check the official catalog listing and your department adviser before you enroll.

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PSYCH 100APsychological Statistics

Psychology · 4 units · Undergraduate upper division (100-199)

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Designed for premajors. Basic statistical procedures and their application to research and practice in various areas of psychology.

P/NP or letter grading.

When it runs

Checking the Schedule of Classes…

Requisites

Official UCLA wording

Requisites: course 10 with a grade of C or better, and one course from Mathematics 2, Program in Computing 10A, Statistics 10, or one term of calculus.

BruinTree reads · Prerequisite

needs reviewconfidence 0.60 · from text
all of
  • grade C or better in
    • PSYCH 10
  • 1 of
    • MATH 2
    • COMPTNG 10A
    • STATS 10
    • one term of calculus
  • · "MATH 2" is not in this catalog version
  • · could not read "one term of calculus" (no course number found)

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About PSYCH 100A. 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.

PSYCH 100A

  • PSYCH 10Introductory Psychology
  • COMPTNG 10AIntroduction to Programming
  • STATS 10Introduction to Statistical Reasoning

3 direct requisites. The whole upstream is here — 3 courses over 1 level. Every course here opens its own tree.

Unlocks

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

PSYCH 100A39 more beyond

  • PSYCH 101General Psychology Laboratory
  • PSYCH 110Fundamentals of Learning
    • PSYCH 111Learning Laboratoryanother path to it
    • PSYCH 112ABasic Processes of Motivated Behavioranother path to it
    • PSYCH 112BPsychobiology of Fear and Anxietyanother path to it
  • C&S BIO 100Data Science and Statistics for Life Scientists
  • PSYCH 111Learning Laboratory
  • PSYCH 112ABasic Processes of Motivated Behavior
  • MCD BIO 125Undergraduate Molecular, Cell, and Developmental Biology Education Research
  • PSYCH 112BPsychobiology of Fear and Anxiety
  • PSYCH 112DAnimal Cognition
  • NEURO C251Computational Neuroscience for Interdisciplinary Scientists
  • PSYCH 112EDecision Making and Brain
  • PSYCH 115Principles of Behavioral Neuroscience22 more beyond
    • PSYCH 112CPsychobiology of Anxiety and Depression
    • PSYCH 116BHuman Neuropsychology Laboratoryanother path to it
    • GRNTLGY M119OPsychology of Aging
    • PSYCH M116ABehavioral Neuroscience Laboratoryanother path to it
    • PSYCH 118Comparative Psychobiology
    • NEURO C251Computational Neuroscience for Interdisciplinary Scientistsanother path to it
    • PSYCH 119ANeuropsychopharmacology of Emotion and Cognition
    • PSYCH 119BHow Brains Learn to Construct Models of Environment
  • NEUROSC M116ABehavioral Neuroscience Laboratory
  • PSYCH 116BHuman Neuropsychology Laboratory
    • NEUROSC 140Brain Injury and Recovery of Function
  • PSYCH M116ABehavioral Neuroscience Laboratory
  • STATS 20Introduction to Statistical Programming with R5 more beyond
    • MATH 42Introduction to Data-Driven Mathematical Modeling: Life, Universe, and Everything
      • MATH 118Mathematical Methods of Data Theory1 more beyond
    • POL SCI M170XCausality X
    • STATS 21Python and Other Technologies for Data Science
      • MATH 156Machine Learning3 more beyond
      • STATS 152Environmental Statisticsanother path to it
      • STATS C160Causal Inference for Health Dataanother path to it
      • STATS C167Introduction to Databasesanother path to it
      • STATS C267Introduction to Databases
    • STATS 101AIntroduction to Data Analysis and Regression4 more beyond
      • MATH M148Experience of Data Science
      • STATS 101BIntroduction to Design and Analysis of Experiment4 more beyond
      • STATS 101CIntroduction to Statistical Models and Data Mining2 more beyond
      • STATS C151Experimental Design
      • STATS 153Hierarchical Linear Modeling
      • STATS C160Causal Inference for Health Dataanother path to it
      • STATS 170Introduction to Time-Series Analysis
      • STATS 184Societal Impacts of Data
    • STATS 102AIntroduction to Computational Statistics
      • STATS 131Python and Other Technologies for Data Analysis
      • STATS 133Introduction to Text Mining Using R
      • STATS 143Introduction to Research in Statistics
      • STATS C167Introduction to Databasesanother path to it
      • STATS C267Introduction to Databasesanother path to it
    • STATS 152Environmental Statistics
    • STATS C160Causal Inference for Health Data
    • STATS C167Introduction to Databases

56 courses list this as a requisite. Showing 54 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.

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

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