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STATS 184 · STAT 184Societal Impacts of Data

Statistics · 2 units · Undergraduate upper division (100-199)

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Consideration of impacts that data collected today have upon individuals and society. Rapid increase in scale and types of data collected has impacted commerce and society in new ways. Consideration of economic, social and ethical, legal and political impacts of data, especially that collected on human behavior. Topics include privacy and data protection, intellectual property and confidentiality, sample selection and algorithms, equality and anti-discrimination.

Letter grading.

When it runs

  • Winter 2026
  • Winter 2027

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

Requisites

Official UCLA wording

Requisites: courses 101A, 101C or Mathematics 156.

BruinTree reads · Prerequisite

confidence 1.00 · from UCLA’s structured data
all of
  • STATS 101A
  • one of
    • STATS 101C
    • MATH 156

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Requires

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

STATS 184

  • STATS 101AIntroduction to Data Analysis and Regression
    • STATS 10Introduction to Statistical Reasoning
    • STATS 12Introduction to Statistical Methods for Geography and Environmental Studies
    • ECON 41Probability and Statistics for Economists
      • MATH 31ADifferential and Integral Calculus1 more beneath
      • MATH 31BIntegration and Infinite Series
    • STATS 13Introduction to Statistical Methods for Life and Health Sciences
    • STATS 15Introduction to Data Science
    • PSYCH 100APsychological Statistics
      • STATS 10Introduction to Statistical Reasoninganother path to it
      • COMPTNG 10AIntroduction to Programminganother path to it
      • PSYCH 10Introductory Psychology
    • STATS 20Introduction to Statistical Programming with R
      • STATS 10Introduction to Statistical Reasoninganother path to it
      • STATS 12Introduction to Statistical Methods for Geography and Environmental Studiesanother path to it
      • ECON 41Probability and Statistics for Economistsanother path to it
  • STATS 101CIntroduction to Statistical Models and Data Mining
    • STATS 101AIntroduction to Data Analysis and Regressionanother path to it
  • MATH 156Machine Learning1 more beneath
    • STATS 21Python and Other Technologies for Data Science
      • STATS 20Introduction to Statistical Programming with Ranother path to it
    • STATS 100AIntroduction to Probability
      • MATH 32BCalculus of Several Variables1 more beneath
      • MATH 33ALinear Algebra and Applicationsanother path to it
    • COM SCI 31Introduction to Computer Science I
    • COMPTNG 10AIntroduction to Programming
    • MATH 115ALinear Algebra
      • MATH 33ALinear Algebra and Applications2 more beneath
    • COMPTNG 16APython with Applications I
      • COM SCI 31Introduction to Computer Science Ianother path to it
      • COMPTNG 10AIntroduction to Programminganother path to it
    • MATH 164Optimization
      • MATH 115ALinear Algebraanother path to it
      • MATH 131AAnalysis1 more beneath
    • MATH 170AProbability Theory I
      • MATH 32BCalculus of Several Variablesanother path to it
      • MATH 33ALinear Algebra and Applicationsanother path to it
      • MATH 131AAnalysisanother path to it

3 direct requisites. Showing 38 courses over 3 levels; the branches marked with a count carry on past it. 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.