MATH M148

Experience of Data Science

Mathematics · 4 units · Undergraduate upper division (100-199)

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(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.

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Requisites

Official UCLA wording
Requisites: courses 118, 131A, 156 or Statistics 101C, 170S or Statistics 100B, Statistics 101A.

BruinTree reads · Prerequisite

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all of

· "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 31ADifferential and Integral Calculus1 more beneath
  - MATH 31BIntegration and Infinite Seriesanother path to it
  - COMPTNG 10AIntroduction to Programming

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.