Online M.S. in Spatial Computing

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100% Online

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30 Credits

$626/cr.

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Rolling Admissions

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No GRE/GMAT Required

Ranked #51 in Best online master’s in information technology programs by U.S. News & World Report.

About the Program

The online M.S. in Spatial Computing teaches you to utilize location information, geographic information systems, sensors, and mobile technologies to accomplish day-to-day tasks. By providing a foundation in geographic information science, the program creates a path for those from diverse academic backgrounds to transition to an information systems career.

Students will develop expertise in:

Intelligent spatial information systems
Human-centered accessible technologies
Ethical, social, legal, and economic aspects of spatial information

Contact Us

Have questions about earning your M.S. in Spatial Computing online with UMaine? Contact a UMaineOnline advisor.

Kimberly Lai, M.A.

UMaineOnline Advisor

661.544.8675
kimberly.lai@maine.edu

Schedule a Meeting

Student Experiences

This program has exceeded my expectations in terms of knowledge gained and the caliber of courses and teachers.
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Shanna H.
I’ve…been able to capitalize on these fresh approaches to the material to make immediate improvements at my job.
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Toby S.

Curriculum

Throughout the program, you’ll work closely with the Steering Committee to develop a program of study that reflects your personal and professional goals.

The following courses are required (15 credits):

SIE 505: Formal Foundations for Information Science (3 credits)
OR SIE 580: Ontology Engineering Theory and Practice (3 credits)
SIE 507: Information Systems Programming (3 credits)
SIE 509: Principles of Geographic Information Systems (3 credits)
SIE 510: Geographic Information Systems Applications (3 credits)
OR SIE 512 Spatial Analysis (3 credits)
SIE 557: Database System Applications (3 credits)

Choose five courses from the following (15 credits):

SIE 508: Object-Oriented Programming (3 credits)
SIE 513: GeoAI (3 credits)
SIE 516: Interactive Technologies for Solving Real-World Problems (3 credits)
SIE 517: Spatial Interaction Design (3 credits)
SIE 518: User Experience Design (3 credits)
SIE 550: Information System Design (3 credits)
SIE 554: Spatial Reasoning (3 credits)
SIE 555: Spatial Database Systems (3 credits)
SIE 558: Real-Time Sensor Data Streams (3 credits)
SIE 559: Geosensor Networks (3 credits)
SIE 571: Machine Learning in Practice (3 credits)
SIE 590: Information Systems Internship (3-6 credits)
SIE 693: Graduate Seminar (1 credit)

Admissions

We have rolling admissions, so you can apply and be accepted into the program anytime. However, the following priority deadlines are recommended:

Fall Semester: August 1
Spring Semester: January 1

Applications will still be reviewed after these dates, but acceptance may be deferred for the next semester.

A bachelor’s degree from an accredited college/university with a minimum GPA of 3.0 on a 4.0 scale
A GPA below 3.0 on a 4.0 scale will be considered case-by-case.
College-level algebra
Programming courses or experience
Recommended but not required.

We have rolling admissions, meaning you can apply and be accepted anytime. The admission evaluation process begins once we’ve received all of your application materials. Before you apply, please review the application instructions. When you’re ready to apply, please submit the following:

An online application
Current résumé or CV with the contact information for three professional or academic references
Official academic transcripts from all institutions attended
An essay of less than two pages describing your motivation for pursuing an M.S. in Spatial Computing