WA

Master's in AI, Master's in Cybersecurity
Online

Seattle University

Seattle University

  • Seattle
About This Program

This flexible, fully online program prepares graduates for advanced AI roles by combining rigorous technical training with a strong focus on ethics and responsible innovation.

Student Reviews
What You'll Learn

Students master the core areas of machine learning, big data systems, and generative AI, while developing human-centered design skills to solve real-world challenges.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
The multidisciplinary structure includes courses in AI governance, computer vision, and natural language processing, culminating in a three-quarter industry-partnered capstone project.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. Computer Vision 5. AI Ethics and Governance 6. Reinforcement Learning
Program Specializations:
AI Ethics/Policy
Generative AI and LLMs
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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; relevant work experience is often preferred for online programs.
Academic Requirements (Typical)

β€’ Degree Required: Bachelor’s degree
β€’ GRE/GMAT: Optional or Not Required
β€’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

β€’ Statement of Purpose: Required
β€’ Letters of Recommendation: 2–3
β€’ Resume: Required
β€’ Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Career Opportunities in AI

Excel as AI Ethics Specialist in Cross-Industry AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI/ML Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Engineer 2. Machine Learning Engineer 3. Data Scientist 4. AI Research Scientist
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, and Meta.
Program Details
Duration
  • 2 Year
Tuition
  • 51,058
Format
Online
Specializations
AI Ethics/Policy
Generative AI and LLMs