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STATS 425 · STAT 425Large Language Models in Text Mining

Statistics · 4 units · Graduate professional courses (400-499)

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Limited to Master of Applied Statistics and Data Science students. In-depth exploration of large language models (LLMs) and their applications in text mining. Students learn underlying architectures, techniques for fine-tuning and deploying these models, and how to leverage them for various text mining tasks. Through hands-on projects, students apply theoretical concepts to real-world datasets, enhancing their practical skills in the field.

Letter grading.

When it runs

  • Fall 2025
  • Winter 2026
  • Spring 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.

Requisites

UCLA lists no requisites for this course.

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About STATS 425. 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.

Nothing — this is an entry point.

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.