STATS C163 · STAT C163Generative Data Science
Statistics · 4 units · Undergraduate upper division (100-199)
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 C263.
P/NP 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: one course from course C161, Computer Science M146, Electrical and Computer Engineering M146, C147, or Mathematics 156.
BruinTree reads · Prerequisite
needs reviewconfidence 0.90 · from UCLA’s structured data- · "EC ENGR C147" is not in this catalog version
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS C163
- STATS C161Introduction to Machine Learning and Artificial Intelligence
- STATS 100BIntroduction to Mathematical Statistics
- MATH 33ALinear Algebra and Applications
- COM SCI M146Introduction to Machine Learning
- STATS 100AIntroduction to Probability
- MATH 32BCalculus of Several Variables
- C&EE 110Introduction to Probability and Statistics for Engineers
- COMPTNG 10CAdvanced Programming
- COMPTNG 10BIntermediate Programming
- COM SCI 32Introduction to Computer Science II
- EC ENGR M146Introduction to Machine Learning
- EC ENGR 131AProbability and Statistics
- MATH 33BDifferential Equations
- MATH 170AProbability Theory I
- MATH 170EIntroduction to Probability and Statistics 1: Probability
- MATH 156Machine Learning
- STATS 21Python and Other Technologies for Data Science
- COMPTNG 10AIntroduction to Programming
- COM SCI 31Introduction to Computer Science I
- MATH 115ALinear Algebra
- COMPTNG 16APython with Applications I
- MATH 164Optimization
- MATH 131AAnalysis
4 direct requisites. Showing 51 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.