CGS Geospatial Artificial Inte - University of A

The University at Albany's 15-credit Graduate Certificate in Geographic Information Systems (GIS) equips professionals and graduate students with technical skills in GIS applications and spatial analysis. The program covers statistical methods, GIS principles, remote sensing, advanced cartography, and real-world problem-solving. Graduates are prepared for careers in environmental consulting, urban planning, natural resource management, and other fields requiring geographic data analysis.

Program Outline

Degree Overview:

Overview:

The University at Albany offers a 15-credit Graduate Certificate in Geographic Information Systems (GIS). This program is designed to provide working professionals and graduate students with valuable technical training in problem-solving GIS applications and methods of spatial analysis.

Objectives:

Participants will gain proficiency in cartography, GIS, remote sensing, and statistical analysis.
Participants will gain knowledge in the applications of these methods in various fields, including environmental, urban, and land use analysis; planning; and resource applications.
Qualified students are encouraged to participate in advanced internships and practical experiences.

Program Description:

The GIS certificate program provides hands-on experience with geospatial technologies and associated artificial intelligence techniques and big data analysis. The five-course curriculum covers:

Responding to urban emergencies
Tracking environmental change
Predicting natural disasters
Identifying emerging social issues
Studying socioeconomic and market trends

Supplemental Degree Program:

This certification can be added as a supplemental degree through the MyUAlbany portal for students enrolled in specific UAlbany programs, including:

Anthropology MA, PhD
Atmospheric Science MS, PhD
Criminal Justice MA, PhD
Environmental Health Sciences MS, PhD
Epidemiology MS, PhD
Information Science MS, PhD
Public Health MPH, DrPH
Sociology MA, PhD

Outline:

Program Content:

Structure:

The program consists of five graduate-level courses, each requiring 3 credits. Students can complete the program in one year of full-time study or two years of part-time study.

Course Schedule:

The program offers courses in the fall and spring semesters.

Individual Modules:

Statistical Methods:
Introduction to statistical analysis concepts
Descriptive statistics
Inferential statistics
Hypothesis testing
Regression analysis
Introduction to GIS concepts and principles
Data collection methods
Spatial analysis techniques
GIS software applications
Cartographic principles
Remote Sensing II:
Advanced remote sensing techniques
Image interpretation
Land cover classification
Change detection
Hyperspectral remote sensing
Advanced Cartography:
Advanced cartographic methods
Thematic map design
Geographic visualization
Cartographic production techniques
Seminar in Geographic Information Systems:
Applying GIS to real-world problems
Project management
Communication and presentation skills

Assessment: The program uses a variety of assessment methods to evaluate student learning, including:

Exams
Assignments
Projects
Presentations

Teaching: The program is taught by experienced faculty with expertise in GIS, remote sensing, and spatial analysis. The teaching methods include:

Lectures
Hands-on labs
Group discussions
Independent research

Careers: Graduates of the program will be prepared for careers in various fields, including:

Environmental consulting
Urban planning
Natural resource management
Public health
Market research
Geographic data analysis

Other:

Admission Requirements:

Applicants must have a bachelor's degree in a related field.
Applicants must demonstrate their interest in using geographic data to support their academic or professional work.

CGS Geospatial Artificial Intelligence and Big Data Analytics

Program Overview