STATS C263 · STAT C263Generative Data Science
Statistics · 4 units · Graduate courses (200-299)
Designed for students interested in generative data science, an emerging field in the intersection of generative artificial intelligence (AI), data science, and machine learning. Introduction to core concepts of generative data science, covering generation, evaluation, and utilization of generative data such as image, text, conversation, and tables. Focus on the evaluation of privacy-preserving effect of generative data. Concurrently scheduled with course C163.
S/U or letter grading.
When it runs
Not on the schedule for any of Fall 2025 through Spring 2027. UCLA publishes only that window, so this does not mean the course is gone — check the official listing.
Requisites
Official UCLA wording
Enforced requisite: course 200B, 201B, 202A, M231A, or 231B.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured dataRequires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS C263
- STATS 200BTheoretical Statistics
- STATS 201BStatistical Modeling and Learning
- STATS 200AApplied Probability
- STATS 201AResearch Design, Sampling, and Analysis
- STATS 202AStatistics Programming
- STATS 231BMethods of Machine Learning
- STATS 208Statistical Learning Theory
- STATS M231APattern Recognition and Machine Learning
5 direct requisites. Showing 11 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.