Artificial Intelligence, MS (Seattle)

The Master of Science in Artificial Intelligence provides a comprehensive framework encompassing foundational algorithms, theory, and practical applications in the rapidly evolving field of AI. This program offers students the essential knowledge and skills to design, develop, and implement AI systems across various high-demand sectors. The core curriculum is designed to provide in-depth understanding of fundamental AI concepts, forming a solid foundation for both theoretical and practical aspects of artificial intelligence.

Building on this strong foundation, students can delve into advanced AI applications through interdisciplinary concentrations tailored to industry needs. These concentrations include computer vision, health data, machine learning, and robotics and agent-based systems.

The master's in artificial intelligence is an interdisciplinary degree offered by Khoury College of Computer Sciences, Bouvé College of Health Sciences, and the College of Engineering. Descriptions of the concentrations offered in this degree are as follows:

• Computer Vision—College of Engineering

  • The computer vision concentration offers students the knowledge and skills to drive innovation at the intersection of new and emerging vision systems and AI by utilizing AI and machine learning solutions for a wide range of applications including image enhancement/restoration, object recognition, navigation, graphics rendering, and pattern classification.

• Health Data—Bouvé College of Health Sciences

  • This interdisciplinary concentration is designed to prepare students to tackle pressing challenges at the intersection of artificial intelligence and health. Students work directly with real-world health and wellness data, applying cutting-edge AI techniques to problems that matter. Students integrate technical skills from their core coursework with specialized health data expertise, gaining versatility to work across the entire health ecosystem, from clinical settings to public health to digital health startups. Whether building prototype AI-driven health interventions or uncovering insights from complex datasets, students engage with authentic challenges facing the field today. Throughout the concentration, students address critical questions about equitable health technology design and responsible AI deployment in high-stakes healthcare contexts.

• Machine Learning—Khoury College of Computer Sciences

  • The goal of the machine learning concentration is to provide students with practical, hands-on experience in designing, implementing, and optimizing machine learning models for real-world applications. The curriculum positions graduates to pursue roles that leverage AI to drive innovation and efficiency in a wide variety of industries and domains.

• Robotics and Agent-Based Systems—Khoury College of Computer Sciences

  • The goal of the robotics and agent-based systems concentration is to provide students with expertise in designing and developing intelligent robotic systems and autonomous agents capable of performing complex tasks in dynamic environments. The curriculum positions graduates to pursue roles that contribute to innovations in automation, human-robot interaction, and intelligent systems design.

Students are admitted to the college associated with their concentration, and their degree is awarded by that college. Students will follow all policies associated with their college of admission. 

Beginning with students admitted in the fall of 2026, all students pursuing on-ground master's degree programs must complete a university-level experiential learning requirement. This requirement may be fulfilled through the curriculum, co-op, or other work- or industry-integrated learning experiences.

Complete all courses and requirements listed below unless otherwise indicated.

Core Requirements

A cumulative GPA of 3.000 or higher is required in the following:

Course List

Code	Title	Hours
CS 5100	Foundations of Artificial Intelligence	4
CS 5130 and CS 5131	Applied Programming and Data Processing for AI and Recitation for CS 5130	4
DADS 5200	Mathematics for Machine Learning	4
or DS 5020	Introduction to Linear Algebra and Probability for Data Science
EECE 5644	Introduction to Machine Learning and Pattern Recognition	4
or DADS 7275	Machine Learning and Data Analytics

Concentrations

Complete one of the following concentrations:

• Computer Vision—College of Engineering
• Health Data—Bouvé College of Health Sciences
• Machine Learning—Khoury College of Computer Sciences
• Robotics and Agent-Based Systems—Khoury College of Computer Sciences

Program Credit/GPA Requirements

32 total semester hours required
Additional semester hours required for participation in optional co-op in certain concentrations
Minimum 3.000 GPA required

---

Computer Vision Concentration—College of Engineering 

Course List

Code	Title	Hours
Complete 4 semester hours from the following:
EECE 5639	Computer Vision	4
Complete 8 semester hours from the following:		8
EECE 5550	Mobile Robotics
EECE 5554	Robotics Sensing and Navigation
EECE 5614	Reinforcement Learning and Decision Making Under Uncertainty
EECE 5640	High-Performance Computing
EECE 5642	Data Visualization
EECE 5645	Parallel Processing for Data Analytics
EECE 6400	Special Problems in Electrical and Computer Engineering
EECE 7370	Advanced Computer Vision
EECE 7397	Advanced Machine Learning
EECE 7398	Advanced Special Topics in Electrical and Computer Engineering
Capstone
EECE 7945	Master’s Project	4
Optional Co-op
Complete the following (students must complete ENCP 6100 to qualify for co-op experience):
ENCP 6100	Introduction to Cooperative Education	1
ENCP 6964	Co-op Work Experience	0
or ENCP 6954	Co-op Work Experience - Half-Time
or ENCP 6955	Co-op Work Experience Abroad - Half-Time
or ENCP 6965	Co-op Work Experience Abroad

Health Data Concentration—Bouvé College of Health Sciences

Course List

Code	Title	Hours
HLTH 5810	Survey of Health-Related Data	4
HLTH 5820	AI Project for Health Applications	4
Complete 4 semester hours from the following:		4
HINF 5300	Personal Health Interface Design and Development
HINF 5500	Artificial Intelligence and Health Informatics
HLTH 5550	Product Design, Development, and Innovation in Health Science
NNMD 5310	Bioethics in the Age of Artificial Intelligence
PHSC 5905	Artificial Intelligence and Machine Learning in Drug Discovery: Concepts and Applications
PHTH 5320	Grant Writing in Public Health
PHTH 5350	Using SAS in Public Health Research
PHTH 6130	Public Health Technologies: Ethics and Equity
Complete 4 semester hours from the following:		4
HLTH 6980	Capstone
HLTH 7995	Master's Project
Optional Co-op
Complete the following (students must complete HLTH 5101 to qualify for co-op experience):
HLTH 5101	Professional Development for Bouvé Graduate Co-op	1
HLTH 6964	Co-op Work Experience	0
or HLTH 6954	Co-op Work Experience - Half-Time
or HLTH 6955	Co-op Work Experience Abroad - Half Time
or HLTH 6965	Co-op Work Experience Abroad

Machine Learning Concentration—Khoury College of Computer Sciences

Course List

Code	Title	Hours
CS 5800	Algorithms	4
Complete 8 semester hours from the following:		8
CS 5180	Reinforcement Learning and Sequential Decision Making
CS 5330	Pattern Recognition and Computer Vision
CS 6120	Natural Language Processing
CS 6200	Information Retrieval
CS 6220	Data Mining Techniques
CS 7140	Advanced Machine Learning
CS 7150	Deep Learning
CS 7180	Special Topics in Artificial Intelligence
Capstone
Complete 4 semester hours from the following:		4
CS 6170	AI Capstone
CS 8674	Master’s Project
Optional Co-op
Complete the following:
CS 6964	Co-op Work Experience	0
or CS 6954	Co-op Work Experience - Half-Time
or CS 6955	Co-op Work Experience Abroad - Half-Time
or CS 6965	Co-op Work Experience Abroad

Robotics and Agent-Based Systems Concentration—Khoury College of Computer Sciences

Course List

Code	Title	Hours
CS 5800	Algorithms	4
Complete 8 semester hours from the following:		8
CS 5180	Reinforcement Learning and Sequential Decision Making
CS 5335	Robotic Science and Systems
EECE 5550	Mobile Robotics
EECE 5554	Robotics Sensing and Navigation
Capstone
Complete 4 semester hours from the following:		4
CS 6170	AI Capstone
CS 8674	Master’s Project
Optional Co-op
Complete the following:
CS 6964	Co-op Work Experience	0
or CS 6954	Co-op Work Experience - Half-Time
or CS 6955	Co-op Work Experience Abroad - Half-Time
or CS 6965	Co-op Work Experience Abroad