The Northeastern University MPS in Geospatial Services program is designed for working professionals striving to maintain competitive, leading-edge capabilities at a time of rapidly growing utilization of geospatial data for diversity of government and business intelligence needs. Program strengths are highly correlated with geospatial workforce requirements as identified by geospatial enterprise leaders from government and industry. Our curriculum incorporates tools, technologies, and services required in three primary sectors:
- Location-based geodata (collect, manage, distribute spatial information and imagery)
- Geo-applications and devices (devices and software for creating, visualizing, and sharing geospatial information)
- Geo-expert industries (turn location-based information into insights for commercial and government organizations)
Available 100 percent online and built to Northeastern University’s high academic standards, our program’s experiential focus emphasizes the connections between learning and workplace needs.
Complete all courses and requirements listed below unless otherwise indicated.
Required Courses
| Code | Title | Hours |
|---|---|---|
| GIS 5103 | Foundations of Geographic Information Science | 4 |
| GIS 5201 | Advanced Spatial Analysis | 3 |
| GIS 6980 | Capstone | 4 |
| RMS 5105 | Fundamentals of Remote Sensing | 3 |
| Complete two of the following: | 6-7 | |
| Fundamentals of Artificial Intelligence | ||
| Information Technology Policy, Ethics, and Social Responsibility | ||
| Foundations of Information Security | ||
| Cloud Analytics | ||
| Foundations of Project Management | ||
| Project Management Practices | ||
The remaining quarter hours required for the program may be completed by a combination of completing a concentration and additional electives or selecting any courses listed in the concentrations and electives.
Concentrations
Electives
| Code | Title | Hours |
|---|---|---|
| COP 6940 | Personal and Career Development | 3-4 |
| EAI 6000 | Fundamentals of Artificial Intelligence | 3 |
| EDU 6184 | Interdisciplinary Foundations | 2 |
| INT 6940 | Experiential Learning Projects for Professionals | 1-4 |
Program Credit/GPA Requirements
45 total quarter hours required
Minimum 3.000 GPA required
Geographic Information Systems
| Code | Title | Hours |
|---|---|---|
| Complete six of the following: | 18 | |
| Use and Applications of Free and Open-Source GIS Desktop Software | ||
| GIS Customization | ||
| Building Geospatial Systems at Scale | ||
| Geospatial Programming | ||
| Planning a GIS Implementation | ||
| Spatial Databases | ||
| Internet-Based GIS | ||
| GIS/Cartography | ||
| Topics | ||
| Amazon Web Service (AWS) Cloud Architecting | ||
| Allied Technologies in Remote Sensing | ||
Geospatial Analytics
| Code | Title | Hours |
|---|---|---|
| Complete the following: | 18 | |
| Predictive Analytics | ||
| Data Mining Applications | ||
| Data Warehousing and SQL | ||
| Communication and Visualization for Data Analytics | ||
| Data Management and Big Data | ||
| Topics | ||
Remote Sensing
| Code | Title | Hours |
|---|---|---|
| RMS 6110 | Introduction to Machine Learning for Image Data | 3 |
| Complete five of the following: | 15-16 | |
| Building Geospatial Systems at Scale | ||
| Geospatial Programming | ||
| Amazon Web Service (AWS) Cloud Architecting | ||
| Introduction to Radar and LiDAR Remote Sensing | ||
| Automated Feature Extraction for the Geospatial Professional | ||
| Spectroscopic Image Analysis | ||
| Allied Technologies in Remote Sensing | ||
| Topics | ||