BIOSTAT 250CMultivariate Biostatistics
Biostatistics · 4 units · Graduate courses (200-299)
Theory and methods for multivariate analysis with non-exclusive focus on biomedical applications. Topics from multivariate linear models, graphical models, component analysis, factor analysis, clustering, discriminant analysis, models for longitudinal and clustered data.
S/U or letter grading.
When it runs
- Spring 2026
- Spring 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 250A, 250B. Recommended requisites: courses 255A, 255B.
BruinTree reads · Prerequisite
confidence 1.00 · from textBruinTree reads · Recommended
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
BIOSTAT 250C
- BIOSTAT 250ALinear Statistical Models
- BIOSTAT 250BLinear Statistical Models
- BIOSTAT 200AMethods in Biostatistics A
- BIOSTAT 200BMethods in Biostatistics B
- BIOSTAT 200CMethods in Biostatistics C
- BIOSTAT 255AAdvanced Probability and Statistics
- BIOSTAT 202AMathematical Statistics A
- MATH 131AAnalysis
- BIOSTAT 255BAdvanced Probability and Statistics
4 direct requisites. Showing 15 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.
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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.