Artificial Intelligence

City University of Seattle ETPL
The Master of Science in Artificial Intelligence curriculum is designed to prepare graduates with the foundation, principles, and technical knowledge, to master the comprehensive framework of theory and practice in the emerging field of AI. Students will gain technical skills and practical expertise for developing and deploying ethical and human-centered artificial intelligence techniques to real-world applications. The core courses provide comprehensive foundations and practical applications. Students take courses in AI programming, discrete math and algorithms, machine learning and deep learning, natural language processing, agent-based systems, cloud computing, among other courses, and cover special topics before the applied capstone project that simulates real-world experience.

Financial information

Total tuition

$43,955.00

Total required fees

$150.00

Books and supplies

$200.00

Locations

City University of Seattle, Online

Instructional methods

Online, E-learning, or Distance Learning

Program details

2 Years

Length of training

Master

Award type

59

Credits

N/A

Clock Hours

Additional details

Award name

MS

Prerequisites

No Selection

Prerequisite courses

No

Other prerequisites

N/A

Program languages

English

Certification/license obtained as part of training program

N/A

Certification/license test preparation provided

N/A

Employment performance results

Program type

Robotics Technology/Technician

Completion rate

0%

Employment rate

0%

Typical (median) hourly earnings

$0.00

Typical (median) annual earnings

$0.00

Top industries for graduates

Program type

Robotics Technology/Technician

Student characteristics

Enrollment
Number of students completing the program
0
Completion rate
0%
Average number of students who completed each year
0
Gender
Male
0%
Female
0%
Race
American Indian or Alaska Native
0%
Asian
0%
Black or African American
0%
Hispanic
0%
Native Hawaiian or Other Pacific Islander
0%
White
0%
Multi-racial
0%
Other
0%
Age
Under 20
0%
20 to 29
0%
30 to 39
0%
40 to 49
0%
50 and over
0%
Prior education
No high school diploma/GED
0%
High school diploma/GED, but no college experience
0%
Some college experience, but no degree
0%
Certificate or AA
0%
BA or higher
0%