City University of Seattle

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

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.

Career Outcomes

Lead as AI Engineer in Cross-Industry AI with natural language processing expertise

• 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

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.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)