Master of Science in Artificial Intelligence
Advance Your Technological Expertise
The Master of Science in Artificial Intelligence 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.
In the Master of Science in Artificial Intelligence program, students will learn to:
- Apply foundational knowledge, principles, and practices of artificial intelligence (General Artificial Intelligence Knowledge).
- Implement artificial intelligence principles and applied practices to use cases (Artificial Intelligence Principles and Practices).
- Analyze critical and ethical thinking to solve problems in artificial intelligence (Critical and Ethical Thinking).
- Evaluate data to inform decisions and solve problems in artificial intelligence (Quantitative Literacy).
- Create the ability to develop and express ideas while applying a variety of delivery modes, genres, and communication styles (Communication).
- Collaborate effectively on diverse teams to accomplish a common goal (Collaboration).
Total Required Credits (39-59 Credits)*
In addition to City University of Seattle's graduate admission requirements, found under Admissions in the catalog menu, applicants to this program must also meet the following requirements:
- An earned bachelor's degree and evidence of completion of undergraduate courses or their equivalent in:
- Equivalency of 5-quarter hour credits at the intermediate level in at least one computer programming language; and
- Equivalency of 5-quarter hour credits in networking (TCP/IP from physical through applications layers); and
- Equivalency of 5-quarter hour credits of data management including basic database design and SOL/NoSQL Queries; and
- Equivalency of 5-quarter hour credits of operating systems including OS theory, process management, and memory management; OR
- An earned bachelor's degree and successful completion of CityU's Undergraduate Certificate in Foundations of Systems Development.
Preparatory Courses (20 Credits)
- CS 132 Computer Science I (5)
- CS 330 Network Communications (5)
- CS 340 Operating Systems (5)
- IS 360 Database Technologies (5)
Pre-Entry Requirements (0 Credit)
Students must take this course in the first quarter of enrollment. Students may take another program requirement concurrently.
- CS 500 STC MS Orientation to Master's Programs (0)
Core Requirements (24 Credits)
- AI 500 Artificial Intelligence Overview (3)
- AI 510 Artificial Intelligence in Cloud Computing (3)
- AI 520 Natural Language Processing for Artificial Intelligence (3)
- CS 506 Programming for Computing (3)
- CS 622 Discrete Math and Algorithms for Computing (3)
- DS 510 Artificial Intelligence for Data Science (3)
- DS 620 Machine Learning & Deep Learning (3)
- DS 623 Math & Statistics for Data Science (3)
Depth of Study: Artificial Intelligence (6 Credits)
- AI 610 Agent Based Systems (3)
- AI 620 Emerging Topics in Artificial Intelligence(3)
Electives (6 Credits)
Students may select two electives from any graduate courses within the School of Technology & Computing or complete the internship after taking three CS 650 seminar courses for their internship preparation.
Students can take three CS 650 seminar courses after taking 6 credit hours and before taking either AI 680 Artificial Intelligence Internship or AI 687 Artificial Intelligence Capstone. Each enrollment must be pre-approved by the Program Manager.
- CS 650A Master's Seminar I in Special Technology* (1)
- CS 650B Master's Seminar II in Special Technology* (1)
- CS 650C Master's Seminar III in Special Technology* (1)
This course is repeatable for credit. Each enrollment must be pre-approved by the Program Manager.
- AI 680 Artificial Intelligence Internship* (3)
Capstone (3 Credits)
- AI 687 Artificial Intelligence Capstone* (3)
Courses with an asterisk (*) after their title have a pre- or co-requisite.
CityU’s Master of Science in Artificial Intelligence is designed to give you actionable insights that you can apply in your work immediately. You’ll graduate a more effective technology expert with increased advancement opportunities.
The MSAI program will prepare you for a career in the growing field of data science, including:
- Software Engineer
- Software Developer
- Business Analyst
- Data Analyst
- Computer Systems Analysts
- Computer Programmer
- Information Security Analyst
At CityU, you’ll have the opportunity to expand your professional network by connecting with faculty working in your field, students from around the globe, and alumni employed at Seattle’s top companies. Plus, you’ll be part of a supportive community that’s dedicated to helping you reach your career goals.
Learn more about tuition and fees for our undergraduate, graduate, and doctoral programs.
Financial Aid Opportunities
At CityU, we’re committed to helping students achieve their academic goals no matter their economic situations. Our financial aid counselors are here to find the resources you need to pay for your education, including grants, loans, work study, and scholarships.
Military Tuition Benefits
As a Yellow Ribbon school, CityU is proud to serve those who have served in the military. We offer military tuition discounts for active-duty servicemembers and their spouses and accept military benefits such as the Post 9/11 GI Bill® and Tuition Assistance.
Learn more about military tuition benefits, VA benefits, and military partnership programs designed to help you reach your military and career goals.