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STATS 200A · STAT 200AApplied Probability

Statistics · 4 units · Graduate courses (200-299)

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Limited to graduate statistics students. Simulation, renewal theory, martingale, and selected topics from queuing, reliability, speech recognition, computational biology, mathematical finance, epidemiology.

S/U or letter grading.

When it runs

  • Fall 2025
  • Fall 2026

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

Requisites

Official UCLA wording

Requisite: course 100A or Mathematics 170A.

BruinTree reads · Prerequisite

confidence 1.00 · from text
one of
  • STATS 100A
  • MATH 170A

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About STATS 200A. 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.

STATS 200A

  • STATS 100AIntroduction to Probability
    • MATH 32BCalculus of Several Variables
      • MATH 31BIntegration and Infinite Series1 more beneath
      • MATH 32ACalculus of Several Variables1 more beneath
    • MATH 33ALinear Algebra and Applications
      • MATH 3BCalculus for Life Sciences Students1 more beneath
      • MATH 31BIntegration and Infinite Seriesanother path to it
      • MATH 32ACalculus of Several Variablesanother path to it
  • MATH 170AProbability Theory I
    • MATH 32BCalculus of Several Variablesanother path to it
    • MATH 33ALinear Algebra and Applicationsanother path to it
    • MATH 131AAnalysis
      • MATH 32BCalculus of Several Variablesanother path to it
      • MATH 33BDifferential Equations

2 direct requisites. Showing 14 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.

STATS 200A

  • STATS 201BStatistical Modeling and Learning
    • STATS 201CAdvanced Modeling and Inference
    • STATS 206Modern Survey Methods
    • STATS 211Topics in Economics and Machine Learning
    • STATS 213Synthetic Data Generation
    • STATS C263Generative Data Science
  • STATS 212Graphical Models
  • BIOINFO M223Statistical Methods in Computational Biology
  • STATS 219Topics in Reinforcement Learning
  • STATS 231CTheories of Machine Learning
  • BIOMATH M271Statistical Methods in Computational Biology
  • STATS C236Introduction to Bayesian Statistics
  • STATS 238Vision as Bayesian Inference
  • BIOSTAT 276Inferential Techniques that Use Simulation
  • STATS M254Statistical Methods in Computational Biology
  • BIOSTAT 277Robustness and Modern Nonparametrics

11 courses list this as a requisite. The whole downstream is here — 16 courses over 2 levels. Every course here opens its own tree.