Two people interact with robotic dogs and a wheeled robot in a laboratory, with a projection screen visible in the background.

Master of Science in Artificial Intelligence

The M.S. in Artificial Intelligence goes beyond a general computing degree. It is a focused, rigorous pathway into AI research, development, and deployment.

The free program fact sheet covers:

Core courses, electives, and thesis and non-thesis options
Research opportunities and career paths
Admission requirements, deadlines, tuition, and funding

Next application deadline:
January 20 for international students starting in fall 2027. See all deadlines

Ready to apply? Start your application

Receive the MS in AI Factsheet

First Name

Last Name

Please enter your preferred email address.

Will you be an international student?

Select yes if you plan to be on an F1 visa and/or earned your bachelor's degree from an institution outside the US.

Country of Residence

Postal (Zip) Code

When do you plan to start your graduate studies?

Please select an option

Term ID (Hidden)

Are you interested in a Master's, Ph.D., Certificate or Non-Degree program?

Program Name

Program ID MA

Campus MA

RC MA

Program ID Final

Program ID Final2

Map to Applying To on Application

Campus Final

Campus Final 2

Map to Primary Campus of Interest on the Opportunity

RC Final

RC Final 2

Map to Account Name on the Opportunity

HIDDEN

Opportunity Record Type ID

Application Record Type ID

Term Semester Record Type ID

Lead Source Campaign ID

Case Record Type ID

Meeting Campaign ID

Country Code

full url

base url

utm_source

utm_date

utm_medium

utm_campaign

utm_term

utm_content

Default0

Contact Information

Why study AI at UMBC

Faculty in the Department of Computer Science and Electrical Engineering (CSEE) teach the program and lead research in AI.

UMBC is an R1 institution under the Carnegie classification, for very high research activity.

50+

Faculty engaged in AI and related areas across departments and research centers.

Nationally recognized centers: artificial intelligence, cybersecurity, and quantum science.

No GRE

GRE scores are not required to apply.

The program at a glance

Two core courses

Principles of Artificial Intelligence and Introduction to Machine Learning, each completed with a grade of B or better.

Three AI electives

Chosen from computer vision, natural language processing, neural networks, and robotics.

Thesis or non-thesis

Full-time or part-time on UMBC’s Catonsville campus, with fall and spring start terms.

Application deadlines

Spring semester

International students
Apply by June 1

Domestic students
Apply by November 1

Fall semester

International students
Apply by January 20

Domestic students
Apply by June 1

See the full program details

Courses, credit requirements, admission requirements, deadlines, tuition, and contacts are all in the program fact sheet.

Get the fact sheet

Apply now