About this Program
College: Design, Construction and Planning
Credits:15
Subplan Code: DCP_GCT06
Certificates must comply with the Graduate Certificate Policy
A Graduate Certificate is an official credential granted by the University of Florida. It represents a cohesive, targeted curriculum of graduate-level coursework designed to validate specialized knowledge and skills in a specific field of study. To successfully earn and have a graduate certificate officially posted to the academic transcript, candidates must fulfill several key academic and administrative requirements:
- Admission: Secure formal acceptance into the designated certificate program.
- Course Completion: Successfully complete all approved, graduate-level coursework required by the curriculum.
- Active Enrollment: Maintain active enrollment during the academic term in which the certificate is awarded.
- Application Submission: Submit a formal graduation application to officially designate the graduate certificate credential on the transcript.
For specific prerequisite details, credit requirements, and application deadlines, students should consult directly with the academic department or unit offering the certificate.
Required Courses
Option A
| Code | Title | Credits |
|---|---|---|
| Required Core Courses | 9 | |
| URP 6295 Urban Data Structure Basics | ||
| Introduction to Urban Analytics | ||
| Intermediate Urban Analytics | ||
| Urban and Regional Planning Theory and Methods Courses | 3 | |
| Introduction to Planning Information Systems | ||
| Automation for Geospatial Modeling and Analysis | ||
| Urban Spatial Analysis | ||
| Intermediate Planning Information Systems | ||
| Internet Geographic Information Systems | ||
| Transportation and Land-Use Modeling | ||
| Advanced Quantitative Methods for Spatial Analysis | ||
| Topical Seminar | ||
| Data and Computer Science Courses | 3 | |
| Machine Learning for Architects | ||
| Mathematics for Intelligent Systems | ||
| Machine Learning | ||
| Neural Networks for Computing | ||
| Image Processing and Computer Vision | ||
| Fundamentals of Machine Learning | ||
| Neural Networks and Deep Learning | ||
| Pattern Recognition and Intelligent Systems | ||
| Total Credits | 15 | |
Option B
| Code | Title | Credits |
|---|---|---|
| Required Core Courses | 6 | |
| Intermediate Urban Analytics | ||
| Survey of Urban and Regional Planning | ||
| Urban and Regional Planning Theory and Methods Courses | 9 | |
| Introduction to Planning Information Systems | ||
| Automation for Geospatial Modeling and Analysis | ||
| Urban Spatial Analysis | ||
| Intermediate Planning Information Systems | ||
| Internet Geographic Information Systems | ||
| Transportation and Land-Use Modeling | ||
| Topical Seminar | ||
| Total Credits | 15 | |