City University of Seattle

How this program compares

Budget-wise, $34.9K puts this master's program at the 53rd percentile on cost — roughly 19% below the $42.9K average across 394 comparable listings. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework.

About This Program

This graduate program provides the theoretical foundation and practical expertise needed to deploy ethical, human-centered artificial intelligence applications in real-world scenarios. Coursework concentrates on Deep Learning and MLOps/AI Engineering. Most students complete it in about 2 years.

Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

Design and implement machine learning models for real-world applications.

Estimated total tuition is $34.9K, below the $42.9K average for AI master's programs in our database and in the 53rd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

It is one of 14 AI-related programs we track in Washington, of which about 57% offer an online option. On price, it comes in cheaper than about 57% of the Washington programs in our data, where typical tuition runs near $51.6K.

Career Outcomes

Graduates of City University of Seattle's MS in Artificial Intelligence most often target AI Engineer roles, where reported compensation runs around $120,000. Its focus on Deep Learning and MLOps/AI Engineering maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. AI Systems Architect

What You'll Learn

• Design and implement machine learning models for real-world applications
• Develop deep neural networks for pattern recognition and prediction
• Apply natural language processing techniques to text and speech data
• Build ethical AI systems addressing bias and societal impacts

Curriculum Highlights

Core requirements include AI programming, discrete math, algorithms, cloud computing, and an applied capstone project that simulates industry experience.

Top Employers

Top employers include Google, Microsoft, Amazon, and NVIDIA.

Admissions

Admission to City University of Seattle's MS in Artificial Intelligence generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions