STATS M148 · STAT M148Experience of Data Science
Statistics · 4 units · Undergraduate upper division (100-199)
(Same as Mathematics M148.) Students solve real data science problems for community- or campus-based clients. Students work in small groups with faculty member and client to frame client’s question in data science terms, create mathematical models, analyze data, and report results. Students may elect to undertake research on foundations of data science, studying advanced topics and writing senior thesis with discussion of findings or survey of literature on chosen foundational topic. Development of collaborative skills, communication principles, and discussion of ethical issues.
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
Requisites: courses 100B or Mathematics 170S, 101A, 101C or Mathematics 156, Mathematics 118, 131A.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS M148
- STATS 100BIntroduction to Mathematical Statistics
- STATS 100AIntroduction to Probability
- MATH 170AProbability Theory I
- MATH 170EIntroduction to Probability and Statistics 1: Probability
- MATH 118Mathematical Methods of Data Theory
- MATH 131AAnalysis
- MATH 156Machine Learning
- STATS 21Python and Other Technologies for Data Science
- COM SCI 31Introduction to Computer Science I
- COMPTNG 10AIntroduction to Programming
- COMPTNG 16APython with Applications I
- MATH 164Optimization
- MATH 170SIntroduction to Probability and Statistics 2: Statistics
5 direct requisites. Showing 46 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.