Engineering Artificial Intelligence

MASTERS | CERTIFICATE | ON-CAMPUS | ONLINE

The Engineering Artificial Intelligence (Engineering AI) Program provides rigorous technical education in the analysis and design of “smart” engineered devices and systems.

Request InfoPDF Brochure

Admission Requirements

Requirements specific to the engineering artifical intelligence program include: 

  • A bachelor's degree, GPA of 3.0 or better, in a STEM field from an accredited institution.

For a complete list of admission requirements, visit the Application Process page. Completed applications are reviewed on a case-by-case basis.


Degree Requirements

Master of Engineering: 30 Credits or 10 Courses

Students pursuing a Master of Engineering in Engineering Artificial Intelligence are required to take four Engineering AI required core courses, two Engineering AI core courses and four technical electives as outlined on the degree planning sheet here.

Any non pre-approved technical electives must be approved by MAGE prior to registering. There is no research or thesis required for this degree.  

For additional course information, please refer to the MAGE Course Catalog, where you can find course syllabi and/or course intro videos for ENPM and ENAI courses, as well as the Graduate School Catalog, where you can review the course descriptions for courses offered in the other engineering areas.

Graduate Certificate in Engineering: 12 Credits or 4 Courses

Students pursuing a Graduate Certificate in Engineering in Engineering Artificial Intelligence are required to take four Engineering AI required core courses as outlined on the degree planning sheet here.

For additional course information, please refer to the MAGE Course Catalog, where you can find course syllabi and/or course intro videos for ENPM and ENAI courses, as well as the Graduate School Catalog, where you can review the course descriptions for courses offered in the other engineering areas.


Tuition and Fees

Click here for up-to-date tuition and fee information

 

Photo of Dr. Sennur Ulukus

Program Content Advisor

Dr. Sennur Ulukus

Department Chair of Department of Electrical & Computer Engineering
Distinguished University Professor
Anthony Ephremides Chair in Information Sciences and Systems
Distinguished Scholar-Teacher
Founding Co-Director, Professional Masters in Machine Learning
The Institute for Systems Research

Photo of Emily Golub

Admissions Contact

Emily Golub

Email mage@umd.edu for assistance 

Watch the Virtual Open House Recording

Watch the recording from the Engineering Artifical Intelligence Open House,  featuring MAGE Coordinator for Admissions and Recruitment Emily Golub, Assistant Dean for Continuing Education Dr. George Syrmos, and Distinguished University Professor Dr. Sennur Ulukus. They provide a brief overview of the program, highlighting its flexible structure, industry-relevant curriculum, and combination of theoretical and practical components.

Watch Now

Attend An Open House

Join us online or on campus  to learn more about the University of Maryland Master of Engineering degree programs. Information covered in an Open House includes academic program options as well as application requirements and deadlines. Individuals attending will have the opportunity to ask questions about their program of interest. Admissions coordinators will be on hand to answer admission questions.

Events

Top