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Course information comes from the public UCLA General Catalog. Requisites are read from UCLA’s published wording and can be incomplete or out of date — check the official catalog listing and your department adviser before you enroll.

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DS BMED 207Data Science for Medical Imaging

Data Science in Biomedicine · 4 units · Graduate courses (200-299)

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Overview of medical image modalities and 3D visualization, classical image processing (histogram analysis and filtering), modern deep learning techniques (convolutional networks), image alignment, and statistical analysis of populations.

Letter grading.

When it runs

  • Fall 2025
  • Fall 2026

Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.

Requisites

Official UCLA wording

Requisite: course 200 or equivalent.

BruinTree reads · Prerequisite

confidence 1.00 · from UCLA’s structured data
DS BMED 200

Report a problem

About DS BMED 207. We read UCLA’s requisite wording by machine, and it gets things wrong.

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Requires

Everything that has to come before this course, not just the courses named in the requisite above.

DS BMED 207

  • DS BMED 200Foundations of Data Science

1 direct requisite. The whole upstream is here — 1 course over 1 level. 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.