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

Seattle, Online

Instructional methods

Online, E-learning, or Distance Learning

Is this program offered on evenings and weekends?

No

Program details

2 Years

Length of training

Master

Award type

59

Credits

N/A

Clock Hours

Additional details

Award name

MS

Education Prerequisites

No Selection

Prerequisite courses and other requirements

Is this program approved to train veterans?

No

Program languages

English

Certification/license obtained as part of training program

Certification/license test preparation provided

Employment performance results

Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.

Top industries for graduates

Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.

Student characteristics

Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.