M.S. in Engineering Science Plan of Study for Geospatial Analytics focus
M.S. in Engineering Science Plan of Study for Geospatial Analytics focus
The M.S. in Engineering Science with a Geospatial Analytics Plan of Study offers students and professionals an academic pathway to build a robust set of skills that bridge the gap between geographic information and actionable intelligence. The program is designed to ensure that qualified students can successfully engage with its courses and gain applied knowledge and skills.
This credential equips graduates to pursue careers focused on problem solving in urban, environmental, agricultural, and engineering sectors based on geospatial data collected from satellites, unmanned autonomous systems, aircraft and other sources. Graduates that find positions in the geospatial industries, government and non-governmental organizations. Potential roles include Geospatial Data Scientist, Spatial/GIS Coordinator, Geospatial Analyst, GIS Specialist, Project Manager, Remote Sensing Analyst, Geospatial Intelligence Analyst (GEOINT), and Environmental Analyst.
Two 600 Level Math Courses Required
MATH 661. Applied Statistics.
MATH 644. Regression Analysis Methods or MATH 631. Linear Algebra.
One 600 Level Science Course from the following options
EVSC 613. Environmental Problem Solving
PHYS 611. Adv. Classical Mechanics.
BIOL 612. Ecology.
Two 600 Level Engineering Courses Required
ESC 601 Fundamentals of Geomatics Engineering
ESC 603 Artificial Intelligence for Geospatial Decisions
Five electives from the following options
CE 602. Geographic Information System
CS 644. Introduction to Big Data
CS 675. Machine Learning
ECE 619. Intelligent Sensing for Smart Grid and Smart City
EM 631. Legal Aspects in Environmental Engineering
EM 636. Project Management
ENE 671. Environmental Impact Analysis
EPS 638. Physical Geography
ESC 690. Graduate Co-op Work Experience in Engineering Science
ESC 705. Advances in Engineering Education Research
