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GGR376H5 - Spatial Data Science II

Available Universities

University of British Columbia Course Map - UBC
Western University Course Map - Western
University of Ottawa Course Map - uOttawa
University of Toronto Course Map - UofT
McGill University Course Map - McGill
University of Calgary Course Map - Calgary
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Course: GGR376H5 (Spatial Data Science II) in GGR department at University of Toronto.

Credit Hours: 24 • Academic Level: third-year undergraduate course

Course Requirements: Requires 1 prerequisite course

Prerequisite Chain Depth: 4 levels of foundational courses required

Future Opportunities: Unlocks 2 advanced courses for further study

Interdisciplinary Requirements: Prerequisites span 2 different departments

Part of the GGR curriculum at University of Toronto, helping students progress through degree requirements.

Prerequisites for GGR376H5

One of: GGR276H5, STA256H5

Courses unlocked by GGR376H5

STA441H5 - Data Analysis
GGR442H5 - GIS Capstone Project

Academic Planning at University of Toronto

Students planning GGR376H5 at University of Toronto should complete 1 prerequisite before enrollment.

Course Sequence: This course requires a 4-level prerequisite chain, requiring careful multi-semester planning for optimal progression.

Future Pathways: Completing GGR376H5 enables enrollment in 2 advanced courses for further study

This third-year course at University of Toronto integrates into structured degree pathways for GGR programs, supporting timely graduation and academic progression.