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You are looking at Spring 2026. That term is over, so these are last term's numbers rather than seats you can take. dibs holds 21 sections for Spring 2026, read 27 days ago. Separately, it has finished 15 of the 3,572 courses on its current checking list for this term. Future-term coverage is incomplete, so a course with nothing here may simply not have been reached yet. Back to Fall 2026

CESC M121

Race, Gender, and Data

4 units

Sections & times

Also listed as DGT HUM M121: the same class, and each department holds its own seats and its own grade history.

Grades

No grade history for this course: the data runs Fall 2021 to Fall 2025. Sections for Spring 2026 are below. The same class is graded under DGT HUM M121, where the history is kept.

Grade records describe outcomes. For what a course is like to take, read student reviews written on dibs below or follow the separate external review link.

Reviews for CESC M121

Workload and assignments

Work types reported in BruinWalk reviews of this course, across recorded instructors and terms. They may differ from this term's syllabus.

dibs has not read this course’s reviews, so it cannot say what kind of work it sets. That is dibs not having looked. It is not a course without papers or exams, and the reviews linked below are the answer until dibs catches up.

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What comes first

The chain dibs can see is 1 course long before CESC M121. Read from Fall 2026, because dibs has not read a class page for CESC M121 in Spring 2026 and a department can change what it requires. dibs has read a class page for every course in it.

Counted in courses rather than quarters: dibs does not know which of them a department lets you take together.

From the registrar's catalog

(Same as Digital Humanities M121.) Seminar, three hours. Requisite: Digital Humanities 101. Data plays a crucial role in political representation, governmental resource allocation, and policy decisions. Investigation of how data does or does not ascribe a quantitative value to a human life by employing a community-engaged emphasis to study how emerging digital models link data with social justice organizing. Students learn to read datasets produced by governmental entities such as the U.S. Census Bureau, Bureau of Labor Statistics, and Department of Health and Human Services. Assignments include working on a community-engaged data project that evaluates and addresses key concerns facing communities-of-color. Introduction to critical data studies and applied data ethics. Studio sessions include lessons on finding and analyzing datasets relevant to racial and gender justice themes; and to generating data visualizations, digital stories, and maps using the latest software tools. No prior knowledge of statistics or quantitative analysis is required. P/NP or letter grading.

Sections in Spring 2026

dibs has not read Spring 2026 for this course, so it cannot say whether it runs. dibs reads the term you are enrolling in first and the rest a little at a time; the registrar's own listing is the answer until this one catches up.

From the people who took it

Student reviews

What taking CESC M121 was like: the work, the teaching, and what students wish they’d known.

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