Bachelor of Science - Geospatial Sciences major

Program Overview

This program provides a comprehensive foundation in spatial thinking, mapping, surveying, and geospatial techniques. Students will learn to collect, process, analyze, and interpret spatial data using industry-standard software and programming languages. The program prepares graduates for careers in geospatial analysis, remote sensing, cartography, and other fields that require expertise in spatial information science.

Program Outline

Outline:

• Spatial Thinking:
This course introduces the fundamental concepts of spatial thinking and their applications in various fields. Students will learn about different spatial data types, spatial relationships, and how to represent and analyze spatial data using appropriate tools.
• Mapping the World:
This course provides an overview of the history and principles of cartography, the science of mapmaking. Students will learn about different types of maps, map projections, and how to create and interpret maps using industry-standard software.
• Mathematics for Surveying & Geomatics A:
This course covers the mathematical principles and techniques used in surveying and geomatics, the science of measuring and mapping the Earth. Students will learn about trigonometry, coordinate systems, and error analysis.
• Applied Geospatial Techniques:
This course introduces students to a range of geospatial techniques used in various industries, including remote sensing, photogrammetry, and geographic information systems (GIS). Students will learn how to collect, process, and analyze geospatial data using specialized software.
• Geospatial Programming:
This course teaches students the fundamentals of programming for geospatial applications. Students will learn how to use programming languages such as Python and R to automate geospatial tasks and develop custom geospatial tools.
• Spatial Information Science Fundamentals:
This course provides an overview of the theoretical foundations of spatial information science, including spatial data models, spatial analysis techniques, and spatial reasoning. Students will learn how to represent, analyze, and interpret spatial data using formal methods.
• Earth Observation Science:
This course introduces students to the principles and applications of Earth observation satellites and sensors. Students will learn about different types of satellite platforms, sensors, and data products, and how to use these data for various applications, such as land cover mapping, environmental monitoring, and disaster response.
• Advanced Spatial Information Science:
This course extends the concepts covered in Spatial Information Science Fundamentals and introduces students to advanced topics in spatial analysis, such as spatial statistics, spatial optimization, and machine learning for geospatial data. Students will learn how to use specialized software and techniques to solve complex spatial problems.

Careers:

• Geospatial analyst
• Remote sensing scientist
• Geospatial engineer
• Science communication officer
• Technical consultant
• Cartographer
• Photogrammetrist
• Geodesist