MATH M148Experience of Data Science
Mathematics · 4 units · Undergraduate upper division (100-199)
(Same as Statistics 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 118, 131A, 156 or Statistics 101C, 170S or Statistics 100B, Statistics 101A.
BruinTree reads · Prerequisite
needs reviewconfidence 0.90 · from text- · "STATS 170S" is not in this catalog version
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
MATH M148
- MATH 118Mathematical Methods of Data Theory
- MATH 42Introduction to Data-Driven Mathematical Modeling: Life, Universe, and Everything
- MATH 131AAnalysis
- STATS 100BIntroduction to Mathematical Statistics
- MATH 170AProbability Theory I
- MATH 170EIntroduction to Probability and Statistics 1: Probability
- STATS 100AIntroduction to Probability
- MATH 156Machine Learning
- MATH 115ALinear Algebra
- MATH 164Optimization
- COM SCI 31Introduction to Computer Science I
- COMPTNG 10AIntroduction to Programming
- STATS 21Python and Other Technologies for Data Science
- COMPTNG 16APython with Applications I
- STATS 101AIntroduction to Data Analysis and Regression
- ECON 41Probability and Statistics for Economists
- PSYCH 100APsychological Statistics
- PSYCH 10Introductory Psychology
- STATS 10Introduction to Statistical Reasoning
- STATS 12Introduction to Statistical Methods for Geography and Environmental Studies
- STATS 13Introduction to Statistical Methods for Life and Health Sciences
- STATS 15Introduction to Data Science
- STATS 20Introduction to Statistical Programming with R
- STATS 101CIntroduction to Statistical Models and Data Mining
6 direct requisites. Showing 56 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.