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HEOR552 - Application of Machine Learning in Health Economics and Outcomes Research

Available Universities

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Course: HEOR552 (Application of Machine Learning in Health Economics and Outcomes Research) in HEOR department at University of Washington.

Credit Hours: 3 • Academic Level: year 5 undergraduate course

Course Requirements: Requires 8 prerequisite courses

Prerequisite Chain Depth: 3 levels of foundational courses required

Interdisciplinary Requirements: Prerequisites span 2 different departments

Course Type: Capstone or specialized course - synthesizes prior learning

Part of the HEOR curriculum at University of Washington, helping students progress through degree requirements.

Prerequisites for HEOR552

PHRMCY514
BIOST511
BIOST512
BIOST513
BIOST514
BIOST515
BIOST517
BIOST518

Academic Planning at University of Washington

Students planning HEOR552 at University of Washington should complete 8 prerequisites before enrollment.

Course Sequence: This course requires a 3-level prerequisite chain, requiring careful multi-semester planning for optimal progression.

This year 5 course at University of Washington integrates into structured degree pathways for HEOR programs, supporting timely graduation and academic progression.