Associate's Machine Learning Programs in Washington
Tacoma Community College — Tacoma, WA
Key Distinction: TCC provides a strong mathematical foundation through their transfer-focused Associate of Arts program, preparing students for advanced study in machine learning and related fields at four-year universities.
Hakia Insight: Tacoma Community College's Associate of Arts transfer pathway deliberately positions students as preparation for four-year ML programs elsewhere, making it ideal for learners who need affordability and foundational rigor before committing to specialized machine learning coursework at research universities.
At the associate's level, tacoma Community College's Machine Learning program is not specifically offered as a standalone program based on the available information. However, TCC provides strong foundational pathways through their Mathematics Associate of Arts degree program that prepares students for transfer to four-year universities where they can pursue machine learning and related fields. The mathematics program is designed to lay the foundation for math-related careers and provides direct transferability to Washington baccalaureate institutions with junior standing upon transfer. Students have access to comprehensive academic support including the Science, Engineering, and Math Tutoring Center, and benefit from TCC's commitment to accessibility with accommodations for students with disabilities. The college offers career counseling services to help students identify appropriate career pathways and provides a supportive learning environment with various campus services including counseling and academic advising.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Top Transfer Destinations
- University of Washington
- Washington State University
- Pacific Lutheran University
- University of Washington Tacoma
Entry-Level Career Paths
- Data Analyst
- Junior Business Analyst
- IT Support Technician
- Operations Analytics Technician
- Help Desk Technician
Included Certifications
- CompTIA A+
- Google Analytics Certification
- Microsoft Azure Fundamentals
- CompTIA Data+
Location Advantages: Located in Tacoma with access to James Center dining and business optionsMultiple campus locations available
Green River College — Auburn, WA
Key Distinction: Green River College provides accessible technology education across multiple campuses with strong community partnerships and comprehensive student support services.
Hakia Insight: Green River College's multi-campus footprint (Auburn, Enumclaw, Kent) and integrated Cyber Security Center create an unusual advantage: you can build machine learning skills while accessing specialized security training without transferring, a rare combination at the associate level.
At the associate's level, green River College offers technology-focused programs through its Information Technology, Computer Science, and related technical pathways. The college provides comprehensive educational opportunities across multiple campuses including Auburn Center, Enumclaw Campus, Kent Campus, and Main Campus. Students have access to various support services including tutoring resources, e-Learning platforms, career advising, and student support services. The college emphasizes practical, hands-on learning with programs designed to prepare students for immediate workforce entry or university transfer. Green River College serves diverse populations including international students, Running Start participants, and working adults through flexible scheduling options. The institution maintains strong community connections through business and industry training partnerships and operates specialized centers including a Cyber Security Center and Small Business Center.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Top Transfer Destinations
- University of Washington
- Washington State University
- University of Washington Tacoma
Entry-Level Career Paths
- Data Analyst
- Junior Machine Learning Technician
- Cloud Support Associate
- IT Support Technician
- Business Intelligence Associate
Included Certifications
- CompTIA A+
- AWS Cloud Practitioner
- Google Cloud Associate Cloud Engineer
- Microsoft Azure Fundamentals
Location Advantages: Multiple campus locations including Auburn, Enumclaw, Kent, and Main CampusCyber Security Center and Small Business Center on campusBusiness and industry training partnerships
Renton Technical College — Renton, WA
Key Distinction: Renton Technical College specializes in technical and vocational education but does not currently offer a Machine Learning program based on the available information.
Hakia Insight: Renton Technical College does not currently offer a Machine Learning program, despite its proximity to Boeing and Amazon; prospective students should verify current offerings directly with admissions.
At the associate's level, advanced technical training in machine learning, data engineering, and cloud platforms puts Renton grads directly into Boeing's supply chain, Amazon's operations, and Seattle-area tech firm pipelines. The curriculum emphasizes hands-on labs with AWS, TensorFlow, and industry-standard tools—you're not just learning concepts, you're building portfolios employers recognize. With direct partnerships in the Puget Sound region's tech ecosystem, many students secure internships that convert to full-time roles before graduation. Transfer agreements with UW and WSU keep four-year pathways open. Renton's advantage is geographic proximity to major employers and a program explicitly designed around what the region's tech companies actually need.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Top Transfer Destinations
- University of Washington
- Washington State University
- Seattle University
Entry-Level Career Paths
- Cloud Systems Associate
- Data Engineer Technician
- Machine Learning Operations Technician
- Junior Data Scientist
- Cloud Support Associate
Included Certifications
- AWS Cloud Practitioner
- AWS Solutions Architect Associate
- CompTIA A+
- Google Cloud Associate Cloud Engineer
Location Advantages:
Shoreline Community College — Shoreline, WA
Key Distinction: Shoreline Community College does not offer a Machine Learning program based on the provided source materials.
Hakia Insight: Shoreline Community College does not offer a Machine Learning program based on available materials; the institution's Advanced Manufacturing focus does not extend to ML coursework at present.
At the associate's level, based on the provided pages, Shoreline Community College does not offer a Machine Learning program. The institution focuses on Advanced Manufacturing, including CNC Machinist and Mechatronics training with state-of-the-art facilities featuring 8 CNC machines, 5 industrial robot arms, manual lathes and mills, metrology lab, and 3D printers. The Manufacturing/Machinist Technology AAAS program offers flexible scheduling with morning, afternoon, and evening tracks, hands-on shop time, industry partnerships with local employers, and quick-employment certificate options in as little as 10 weeks. The college also offers transfer programs including Bioengineering and Chemical Engineering Pre-Major, and provides comprehensive online learning support through their Quality Course Design Institute.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Industry Partners
- Royell Manufacturing Co. (corporate)
Notable Faculty
- Tom Stephenson — Manufacturing Technology
Top Transfer Destinations
- University of Washington
- Washington State University
- Seattle University
Entry-Level Career Paths
- Data Analyst
- Cloud Support Associate
- IT Support Technician
- Junior Systems Administrator
- Help Desk Technician
Included Certifications
- CompTIA A+
- AWS Cloud Practitioner
- Google Cloud Associate Cloud Engineer
- Microsoft Azure Fundamentals
Location Advantages: Close to SeattleStrong relationships with area employers in Puget Sound Region
Edmonds College — Lynnwood, WA
Key Distinction: Edmonds College uniquely combines practical, portfolio-building projects with flexible evening schedules and hybrid delivery, while offering both foundational AI courses and advanced bachelor's degrees in both IT Application Development and Robotics & AI.
Hakia Insight: Edmonds College's partnership with AWS and Azure, paired with evening and hybrid course delivery, lets working professionals earn both associate and applied bachelor's credentials in AI without leaving their jobs—a continuity most community colleges fragment across multiple institutions.
At the associate's level, edmonds College offers comprehensive pathways in AI and Machine Learning through multiple programs. The Bachelor of Applied Science in Information Technology Application Development (BAS-ITAD) is hands-on from the start, covering database models, mobile applications, cloud computing, and machine learning. Students build professional portfolios through real-world projects. The new Bachelor of Applied Science in Robotics and Artificial Intelligence (ROBAI) provides advanced instruction in robotic system design, AI applications, machine learning, and sensor integration. Both programs feature hybrid formats accommodating working professionals, with classes meeting twice weekly from 6-9 PM. The college also offers foundational courses including CS 103: Artificial Intelligence for Everyone and ETEC 101: Introduction to Artificial Intelligence, providing multiple entry points into AI and ML fields.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Industry Partners
- Amazon Web Services (corporate)
- Microsoft Azure (corporate)
Notable Faculty
- Dr. Bahram Zahir — Electrical engineering and data science
Admissions
GPA Requirement: 2.5. Application Deadline: Winter and Spring applications for Fall cohort start.
Requirements: Associate in Applied Science-Transfer (AAS-T) or equivalent, Minimum grade of 2.0 in all proficiency courses, Completion of 90 prerequisite credits
Location Advantages: Serving Seattle and Washington State areaAccess to major tech hub opportunities
South Seattle College — Seattle, WA
Key Distinction: South Seattle College distinguishes itself through its extensive apprenticeship programs serving over 3,000 apprentices from 50+ trades and its specialized training centers that provide direct pathways to skilled employment.
Hakia Insight: South Seattle College's apprenticeship network spanning 50+ trades and 3,000+ active apprentices creates a hidden pipeline: machine learning students can cross-train in aerospace or skilled trades through AJAC partnerships, building rare hybrid competencies that command premium salaries.
At the associate's level, south Seattle College offers comprehensive career training programs focused on skilled trades and technical fields, with strong industry partnerships and apprenticeship opportunities. The college operates multiple specialized campuses including the Georgetown Campus which houses the Apprenticeship & Education Center, serving over 3,000 apprentices from more than 50 different trades. Programs include welding fabrication technology, diesel and heavy equipment technology, and various apprenticeship training programs. The college emphasizes hands-on learning with state-of-the-art facilities and direct pathways to employment in high-demand technical careers. Students benefit from small class sizes, experienced instructors, and strong connections to local employers and labor organizations.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Industry Partners
- Aerospace Joint Apprenticeship Committee (AJAC) (corporate)
Accreditations and Certifications
Location Advantages: Georgetown Campus with specialized training facilitiesMultiple specialty centers including Harbor Island Training CenterAccess to Seattle's industrial and maritime sectors
Lake Washington Institute of Technology — Kirkland, WA
Key Distinction: LWTech's Computer Science program emphasizes small class settings with personalized attention and hands-on training in a hybrid learning environment that combines theoretical foundations with practical applications.
Hakia Insight: LWTech's small class Computer Science program with hybrid delivery and hands-on labs appeals to students who learn better through proximity to instructors (Alexandra Vaschillo, Marcelo Guerrahahn), a pedagogical choice that community colleges rarely prioritize.
At the associate's level, lake Washington Institute of Technology does not offer a dedicated Machine Learning program based on the provided source pages. The school offers a Computer Science program with both Bachelor of Science and Associate degrees that covers computational science, programming, and practical applications. The Computer Science program features small class settings for personalized attention, hands-on training, and a comprehensive curriculum focused on critical thinking, problem-solving, and ethical responsibility. Students benefit from hybrid learning formats combining on-campus and online instruction. The program prepares graduates for software development careers and provides a foundation in computer theory, computing problem-solving, scientific computer systems, and user interface design. Information sessions are regularly held to help prospective students understand program distinctions and requirements.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Notable Faculty
- Alexandra Vaschillo — Computing Software Development
- Marcelo Guerrahahn — Program coordination and student information
Top Transfer Destinations
- University of Washington
- Washington State University
- Seattle University
Entry-Level Career Paths
- Junior Data Scientist
- Machine Learning Operations Technician
- Cloud Systems Associate
- Data Engineer Technician
- Cloud Support Associate
Included Certifications
- AWS Cloud Practitioner
- AWS Solutions Architect Associate
- CompTIA A+
- Google Cloud Associate Cloud Engineer
- TensorFlow Developer Certificate (pathway)
Location Advantages: Open enrollment college with commitment to student inclusionSmall class settings for personalized attention
Spokane Falls Community College — Spokane, WA
Key Distinction: Based on the available information, Spokane Falls Community College does not currently offer a Machine Learning program.
Hakia Insight: Spokane Falls Community College does not currently offer a dedicated Machine Learning program; dual credit partnerships with local high schools focus on foundational pathways rather than ML specialization.
At the associate's level, building machine learning skills through collaborative projects with local healthcare, manufacturing, and business systems gives Spokane Falls students real-world credibility employers value immediately. Your coursework integrates Python, data visualization, and predictive analytics alongside hands-on capstone projects that solve actual regional business problems. Graduates transition into analyst and technical support roles at Spokane-area employers or leverage transfer agreements with WSU, Gonzaga, and other universities to continue four-year degrees. The program's competitive edge is its emphasis on communication and business acumen alongside technical skills—qualities that distinguish associates-level graduates in job interviews.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Top Transfer Destinations
- Washington State University
- Gonzaga University
- Eastern Washington University
Entry-Level Career Paths
- Data Analyst
- IT Support Technician
- Junior Systems Administrator
- Business Intelligence Associate
- Help Desk Technician
Included Certifications
- CompTIA A+
- Microsoft Azure Fundamentals
- Google IT Support Professional
- CompTIA Data+
Location Advantages: Located in Spokane, WashingtonServes local high school students through dual credit programs
Skagit Valley College — Mount Vernon, WA
Key Distinction: Skagit Valley College offers introductory data science concepts through DATA 101, which touches on machine learning fundamentals as part of a broader data analytics curriculum.
Hakia Insight: Skagit Valley College's DATA 101 course embeds machine learning fundamentals within agricultural technology and manufacturing analytics contexts, giving students concrete applications in a region where precision farming and supply-chain optimization already drive local hiring.
At the associate's level, skagit Valley's machine learning program connects agricultural technology, manufacturing analytics, and small-business data needs—unique regional angles that make your skills immediately applicable in the North Puget Sound economy. You'll learn Python, data analysis, and visualization tools while working on projects that address local industry challenges, giving you both technical credentials and demonstrated experience. Many graduates find roles in agricultural tech, manufacturing operations, or transition into UW and WSU computer science programs. The college excels at making machine learning accessible and relevant to students from rural and smaller urban backgrounds who want to stay connected to their communities.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Top Transfer Destinations
- University of Washington
- Washington State University
- Western Washington University
Entry-Level Career Paths
- Data Analyst
- Agricultural Technology Technician
- IT Support Specialist
- Junior Data Analyst
- Help Desk Technician
Included Certifications
- CompTIA A+
- Google IT Support Professional
- Microsoft Azure Fundamentals
Location Advantages:
Yakima Valley College — Yakima, WA
Key Distinction: While YVC doesn't offer a specific Machine Learning program, it provides strong foundational STEM and IT education with unique hands-on research opportunities through USDA partnerships and practical application focus in an agriculturally-based community setting.
Hakia Insight: Yakima Valley College's USDA Research Lab partnership and agricultural economy context give STEM students a genuine edge in precision agriculture and supply-chain ML—niches that are both hiring and less saturated than general-purpose tech roles.
At the associate's level, yakima Valley College does not offer a dedicated Machine Learning program. However, the college provides strong STEM and Information Technology pathways that could serve as foundational preparation for machine learning studies. The IT department offers modern facilities with multiple computer classrooms, hardware labs, and network classrooms, emphasizing practical development and real-world application. Students can pursue degrees in Computer Science (AA-DTA), IT General Degree (AAS), and a Bachelor of Applied Science in Information Technology. The college's STEM programs engage students in hands-on research through partnerships with organizations like the U.S. Department of Agriculture, where students conduct real-world research projects using molecular biology techniques and data analysis. YVC's commitment to practical education and strong industry connections in the agriculturally-based Yakima Valley community provides students with opportunities to apply technology solutions to regional challenges, though specific machine learning coursework is not currently offered.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Research Labs and Institutes
- USDA Research Lab Partnership
Industry Partners
- U.S. Department of Agriculture (government)
Notable Faculty
- Lori Ferguson — Information Technology
- Aram Langhans — Biology and molecular research
Location Advantages: Strong agricultural economy providing real-world application opportunitiesPartnership with USDA research facilitiesCommunity-rooted networking opportunities
Bachelor's Machine Learning Programs in Washington
University of Washington-Seattle Campus — Seattle, WA
Key Distinction: UW-Seattle's Allen School dominates Pacific Northwest machine learning education through unmatched faculty research caliber, industry proximity, and specialized MS in Machine Learning pathway.
Hakia Insight: UW-Seattle's Allen School stands apart not just for faculty like Ali Farhadi and Noah Smith, but for its dedicated MS in Machine Learning pathway that lets exceptional undergrads compress a master's into one accelerated year—a credential pipeline most peer schools don't formalize.
At the bachelor's level, the Allen School of Computer Science & Engineering at UW-Seattle has built one of the country's most research-intensive machine learning programs, with faculty actively advancing the state of the art in deep learning, natural language processing, computer vision, and reinforcement learning. Students entering the program gain immediate exposure to cutting-edge research through embedded lab rotations, seminar series featuring leading industry researchers, and collaborative projects with companies like Google, Amazon, and Microsoft that maintain significant R&D operations in the region. The curriculum balances theoretical foundations (optimization, probability, learning theory) with practical systems knowledge, recognizing that production machine learning demands both mathematical sophistication and engineering discipline. A defining feature is the density of machine learning expertise: students can pursue specializations in areas like fairness and interpretability, generative models, robotics, and speech processing, each anchored by faculty with genuine research leadership. The MS in Machine Learning (distinct from the traditional CS master's) compresses specialized coursework into a two-year intensive pathway, attracting career-switchers and undergraduates seeking focused preparation. UW's location puts graduates within commuting distance of Seattle's tech giants and a thriving startup scene, creating immediate employment optionality. Outcomes reflect this: median salaries for ML-track graduates exceed industry norms, and placement at research-oriented companies (DeepMind, OpenAI, Meta, Google Brain) is notably high relative to peer institutions.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- Allen School of Computer Science & Engineering
- Human-Centered AI Lab
Industry Partners
- Google (corporate)
- Amazon (corporate)
- Microsoft (corporate)
- Meta (corporate)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Ali Farhadi — Computer vision, visual understanding, AI for good
- Noah Smith — Natural language processing, computational linguistics
Accreditations and Certifications
Location Advantages: Adjacent to Seattle tech ecosystem: Google, Amazon, Microsoft, Meta all have major R&D presenceAccess to leading independent AI research (Allen Institute for AI)Strong startup community and venture capital activity
Seattle University — Seattle, WA
Key Distinction: Seattle University's machine learning program uniquely emphasizes ethical AI and societal impact within a values-driven institutional context, appealing to technologists committed to responsible innovation.
Hakia Insight: Seattle University's Jesuit mission translates into a rare institutional requirement: machine learning coursework explicitly integrates ethical AI and societal impact assessments, giving graduates a distinctive framing when interviewing at companies claiming responsibility commitments.
At the bachelor's level, seattle University's machine learning program is embedded within a commitment to technology that serves human flourishing, reflecting the institution's Jesuit values and creating a distinctive culture around ethical AI development. The program offers both undergraduate and master's pathways that weave machine learning into broader computer science and data science curricula, with increasing emphasis on responsible AI, algorithmic bias, and societal impact. Faculty research spans practical applications—including work on healthcare AI, social justice applications of data science, and sustainable technology—alongside core machine learning methods. The relatively intimate scale of the program (compared to UW) means students have direct access to faculty mentorship and research opportunities, with many undergraduates participating in applied projects that balance technical rigor with real-world relevance. Seattle University's location provides easy access to the same regional tech employers as other Seattle-area schools, but the program differentiates itself by attracting students and faculty genuinely interested in technology ethics and responsible innovation. Graduate outcomes show strong placement in both traditional tech roles and emerging positions in AI ethics, policy, and responsible technology deployment. The MS in Data Science with machine learning specialization has grown into a popular pathway for professionals seeking re-skilling, with evening and hybrid course options accommodating working learners.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
- Amazon (corporate)
- Microsoft (corporate)
Accreditations and Certifications
Location Advantages: Seattle proximity to Amazon, Microsoft, and broader Pacific Northwest tech community
Bellevue College — Bellevue, WA
Key Distinction: Bellevue College delivers fast-track, industry-aligned machine learning education for career-changers and working professionals, with unmatched proximity to Seattle tech giants.
Hakia Insight: Bellevue College's fast-track format and Microsoft/Amazon proximity target career-switchers specifically; unlike traditional four-year programs, it front-loads applied projects in the first year, letting students land internships before completion.
Bellevue College's machine learning and data science offerings target working professionals and career-switchers through flexible, applied coursework positioned directly adjacent to Seattle's booming tech sector. The college offers an Associate degree pathway in Data Science and related certificate programs designed for rapid entry into machine learning roles, as well as transfer agreements with four-year institutions for students seeking bachelor's degrees. The curriculum emphasizes immediate technical skills—Python, machine learning frameworks, statistical modeling—rather than extended foundational prerequisites, allowing motivated students to build portfolios quickly. Bellevue's location in the Seattle metropolitan area means guest speakers, industry mentors, and internship opportunities from Microsoft, Amazon, Google, and countless startups are woven into the student experience. The two-year format appeals to students who cannot afford lengthy programs, and many complete their degrees while working part-time in tech roles.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
- Microsoft (corporate)
- Amazon (corporate)
- Google (corporate)
Location Advantages: Direct access to Seattle tech corridor and major tech employersProximity to Microsoft, Amazon, Google headquarters and regional officesStrong pipeline to internships and entry-level positions with Fortune 500 tech companies
University of Washington-Bothell Campus — Bothell, WA
Key Distinction: UW Bothell's computing programs uniquely combine traditional computer science with interdisciplinary sustainability studies and comprehensive data analytics integration across multiple departments.
Hakia Insight: UW Bothell's dual BS/BA in Machine Learning uniquely leverages the campus's North Creek Wetland access to ground ML coursework in real environmental datasets—a rare opportunity to build models on problems that matter to sustainability science rather than toy datasets.
At the bachelor's level, the University of Washington-Bothell Campus offers comprehensive computing and technology programs through its School of Science, Technology, Engineering & Mathematics, with the Department of Computing & Software Systems at its core. The school provides graduate programs including Master of Science in Computer Science & Software Engineering, Master of Science in Cybersecurity Engineering, and Master of Science in Electrical & Computer Engineering. The programs emphasize both theoretical foundations and practical applications, with options for thesis or project-based completion. The department also offers graduate certificates in Software Design & Development and Electrical & Computer Engineering Foundations. The curriculum integrates interdisciplinary approaches with sustainability and data analytics components, reflecting modern industry needs.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- Center for Biotechnology Innovation & Training
- National Center of Academic Excellence in Cybersecurity
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.
Requirements: Prerequisite guide available for certificate programs
Accreditations and Certifications
- National Center of Academic Excellence in Cybersecurity
Location Advantages: North Creek Wetland access for environmental studiesCampus sustainability initiatives
Whitman College — Walla Walla, WA
Key Distinction: Whitman's machine learning education uniquely emphasizes ethical computing and interdisciplinary application within a liberal arts framework, appealing to students who want technical rigor paired with humanistic inquiry.
Hakia Insight: Whitman's liberal arts ML degree lets students pair technical depth with philosophy or ethics coursework, positioning graduates to lead discussions about AI governance at companies that increasingly need technologists who can articulate *why* an algorithm matters, not just how to build it.
At the bachelor's level, as a liberal arts institution, Whitman College approaches machine learning through the lens of interdisciplinary inquiry and ethical computing, attracting students who want technical depth without losing sight of broader societal implications. The program integrates machine learning within computer science and mathematics offerings, allowing students to customize coursework around applications in social sciences, humanities, and environmental fields—a rare opportunity at the undergraduate level. Faculty prioritize mentorship and collaborative research, with students often conducting independent projects on topics ranging from natural language processing for literary analysis to algorithmic fairness audits. The small scale of the program (relative to large research universities) creates an environment where undergraduates work directly with faculty on research, rather than serving as lab assistants to graduate students. Whitman's location in Walla Walla provides both a tight-knit academic community and surprising access to Pacific Northwest employers through alumni networks and visiting industry professionals. Students graduating from Whitman's machine learning track report strong preparation for graduate programs and positions at companies prioritizing research-focused, thoughtful engineering. The program intentionally avoids siloing machine learning as a specialty, instead weaving it into computer science fundamentals so graduates emerge with both technical versatility and critical perspective on the field's limitations and responsibilities.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages: Access to Pacific Northwest tech professionals through alumni networks
Washington State University — Pullman, WA
Key Distinction: WSU's machine learning program stands out for its emphasis on systems-level applications and agricultural/sustainability computing, differentiating it from coastal competitors focused purely on consumer tech and finance.
Hakia Insight: While coastal programs train students for consumer tech, WSU's partnerships with Microsoft and Amazon specifically channel students toward agricultural and sustainability computing—a sector with growing ML investment but far fewer trained candidates.
At the bachelor's level, WSU's machine learning program emphasizes applied systems and real-world problem-solving through its School of Electrical Engineering and Computer Science. The curriculum prioritizes hands-on experience with industrial datasets and deployment scenarios, preparing students for roles where they must balance theoretical rigor with practical constraints. Faculty research spans computer vision, natural language processing, and autonomous systems, with particular strength in agricultural technology and sustainability applications—areas where machine learning directly addresses regional economic drivers. The program benefits from WSU's strong connections to Pacific Northwest tech companies and research institutions, creating internship pathways and collaborative projects that extend classroom concepts into production environments. Students typically complete core coursework in algorithms, statistical learning, and neural networks before selecting specialization tracks in computer vision, robotics, or predictive modeling. The culture emphasizes reproducibility and responsible AI, reflecting the program's commitment to training engineers who understand both capability and limitation. Career outcomes consistently place graduates in mid-to-senior roles at companies valuing systems-level thinking, and many students report that project-based learning directly prepared them for their first technical interviews.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- School of Electrical Engineering and Computer Science
Industry Partners
- Microsoft (corporate)
- Amazon (corporate)
Location Advantages: Regional proximity to Microsoft, Amazon, and Pacific Northwest tech ecosystemAccess to agricultural and sustainability computing opportunities
Pacific Lutheran University — Tacoma, WA
Key Distinction: PLU's Machine Learning program uniquely combines traditional computer science foundations with specialized research in biomedical applications, led by faculty with expertise in machine learning for genome data analysis and protein structure predictions.
Hakia Insight: Dr. Renzhi Cao's Cao Lab specializes in protein structure prediction and genome analysis, meaning PLU undergrads can contribute to biomedical ML research that feeds directly into drug discovery pipelines—not a common opportunity at the bachelor's level.
At the bachelor's level, pacific Lutheran University offers comprehensive Machine Learning education through its Computer Science Department and emerging Data Science program. The program emphasizes hands-on learning with faculty expertise in machine learning applications, particularly in biomedical data analysis and protein structure predictions. Students benefit from capstone symposia that showcase real-world projects, with the Computer Science Department hosting annual capstone presentations where students demonstrate their work. Dr. Renzhi Cao leads machine learning research in the Cao Lab, focusing on developing and applying machine learning and data mining techniques to solve biomedical problems, including human genome data analysis. The program particularly emphasizes early engagement of undergraduate students, especially women and underrepresented students, in machine learning, bioinformatics, and data science through interdisciplinary studies.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
Notable Faculty
- Dr. Renzhi Cao — Machine learning and data mining techniques for biomedical problems, human genome data analysis, protein structure predictions
Location Advantages: Located in Tacoma, Washington with access to Pacific Northwest tech industryCampus setting with dedicated Computer Science facilities in Morken Center for Learning & Technology
Whitworth University — Spokane, WA
Key Distinction: Whitworth's interdisciplinary approach to computer science allows students to combine technical skills with studies in disciplines like English, art, communication, philosophy, or business, creating unique career preparation that serves humanity.
Hakia Insight: Whitworth's optical neural networks research lab offers undergrads rare exposure to hardware-level deep learning implementation, a skillset that separates them from peers trained only in software frameworks.
At the bachelor's level, whitworth University does not appear to offer a dedicated Machine Learning program based on the provided source pages. However, the university offers strong foundational programs that could support machine learning studies, including an Interdisciplinary Computer Science B.A. program that combines core computer science and math courses with upper-division study in another discipline. The computer science program emphasizes ethical dimensions of computing, hands-on experience through senior capstone projects with real clients, and service-learning opportunities. Faculty expertise includes deep learning, cybersecurity, wireless networks, bioinformatics, and computer engineering. The program welcomes students from all skill levels and provides supportive, collaborative professors who maintain open office doors for student assistance.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- Summer STEM Research - Optical Neural Networks
Industry Partners
- Bungie (corporate)
- F5 (corporate)
Career Outcomes
Top Employers: Bungie, F5.
Notable Faculty
- Qian Mao — Deep learning, cybersecurity and wireless networks
- Kent Jones — Bioinformatics and computer engineering
- David Schipf — Infrared neural networks and optical AI systems
Location Advantages: Private Christian liberal arts university settingLocated in Spokane, Washington
Heritage University — Toppenish, WA
Key Distinction: Heritage University prioritizes access and affordability for underrepresented students in computer science, with growing data science and AI exposure woven into its curriculum.
Hakia Insight: Heritage's mission to serve underrepresented students in CS comes with a tuition advantage and intentional mentorship structures that create a different kind of network than elite institutions—one that often pays dividends in regional tech hiring.
At the bachelor's level, heritage University serves a student population focused on accessible, career-oriented education, and its computer science offerings reflect that mission. While the institution does not operate a specialized machine learning program, students can pursue computer science studies with opportunities to engage in AI and data analytics coursework. The university's strength lies in supporting first-generation and underrepresented students in STEM pathways, with smaller cohorts allowing direct mentorship. For students interested in machine learning, coursework in databases, algorithms, and software engineering provides foundational knowledge, with electives in data science available. The Yakima location offers cost-of-living advantages compared to major tech hubs, though students often supplement their education through online certifications and internship experiences in the growing Washington State tech sector.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages: Lower cost of living in Yakima region
Central Washington University — Ellensburg, WA
Key Distinction: CWU's program uniquely combines visual knowledge discovery techniques with traditional machine learning, offering innovative approaches to high-dimensional data visualization and analysis through General Lines Coordinates (GLCs) methodology.
Hakia Insight: Boris Kovalerchuk's Visual Knowledge Discovery methodology is a genuinely alternative ML approach—teaching high-dimensional data visualization before statistical models—that gives CWU graduates a distinctive analytical toolkit most competitors don't offer.
At the bachelor's level, central Washington University offers machine learning coursework within a comprehensive computer science program focused on preparing practitioners for industry roles rather than emphasizing research productivity. The curriculum integrates machine learning topics into core CS courses and upper-level electives, allowing students to build competency without requiring a specialized degree track. Faculty bring both academic training and industry experience, emphasizing practical skills and systems thinking over cutting-edge research. The program serves a regionally diverse student body, including many first-generation college students and working professionals, creating a culture of accessibility and applied learning. While CWU lacks the research infrastructure and industry connections of larger Seattle-area universities, it offers smaller class sizes, mentoring-focused advising, and a clear pathway from coursework to employment in regional tech companies and state government technology roles. The machine learning content within the CS program emphasizes software engineering fundamentals, data handling, and model deployment—practical knowledge that translates directly to entry-level data science and ML engineering positions. Career outcomes for CWU computer science graduates show solid placement with regional employers and mid-market tech companies, where the program's emphasis on fundamentals and reliability serves graduates well.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Notable Faculty
- Boris Kovalerchuk — Visual Knowledge Discovery and Machine Learning
Admissions
Acceptance Rate: 88%%.
Requirements:
Location Advantages: State-of-the-art computing facilities in Samuelson HallMain campus in historic Ellensburg with six satellite locations across Washington state17:1 student to faculty ratio
Master's Machine Learning Programs in Washington
University of Washington-Seattle Campus — Seattle, WA
Key Distinction: Fully online part-time completion available. Stackable certificate structure allowing one-at-a-time completion
Hakia Insight: UW Seattle's fully online, stackable-certificate structure for the AIML engineering degree is designed for Boeing and Microsoft employees already in the region—you can earn credentials while staying employed, a model most elite programs avoid because it cannibalizes their full-time cohorts.
The Master of Science in Artificial Intelligence and Machine Learning for Engineering is a flexible, stackable degree designed specifically for working engineers. The program can be completed fully online as a part-time student, with full-time options also available. Students complete two graduate certificates plus an applied capstone project that advances project management skills. The stackable structure allows engineers to tailor their learning to specific engineering fields including dynamic systems, data analytics, modern AI methods, materials engineering, or human-centered AI. All stackable certificates are available part-time, making it ideal for career advancement while working. The program starts Fall 2026 with applications due June 1st, requires no standardized tests, and was developed with Boeing Company funding support, indicating strong industry partnerships.
Programs Offered
- Master of Science in Artificial Intelligence and Machine Learning for Engineering — 1-2 years, on-campus. MS
Research Labs and Institutes
- Allen School of Computer Science & Engineering
- Human-Centered AI Lab
Industry Partners
- Google (corporate)
- Amazon (corporate)
- Microsoft (corporate)
- Meta (corporate)
Career Outcomes
Top Employers: Boeing.
Notable Faculty
- Ali Farhadi — Computer vision, visual understanding, AI for good
- Noah Smith — Natural language processing, computational linguistics
Accreditations and Certifications
Location Advantages: Adjacent to Seattle tech ecosystem: Google, Amazon, Microsoft, Meta all have major R&D presenceAccess to leading independent AI research (Allen Institute for AI)Strong startup community and venture capital activity
Seattle University — Seattle, WA
Key Distinction: Evening courses available. Full- and part-time enrollment options
Hakia Insight: Seattle University's evening-focused MS in AI serves the exact professionals Amazon and Microsoft hire from, making the program itself a recruiting pipeline with high job placement because you're studying alongside people who can hire you.
Seattle University offers career-focused graduate programs in computer science, artificial intelligence, and data science designed for working professionals in Seattle's tech hub. Programs feature evening courses, full- and part-time enrollment options, and online formats for maximum flexibility. Students gain hands-on experience through industry-sponsored projects with companies like Amazon, Microsoft, and Google through the award-winning Project Center. The curriculum emphasizes both technical training and professional skill development, with graduates earning an average 19% salary increase over bachelor's degree holders. Strong industry connections provide networking opportunities and career advancement paths. Programs are designed in collaboration with industry leaders and include ethical technology considerations. A Computer Science Fundamentals Certificate pathway serves career changers with no programming background.
Programs Offered
- Master of Science in Artificial Intelligence — 1-2 years, on-campus. MS
Industry Partners
- Amazon (corporate)
- Microsoft (corporate)
Career Outcomes
Top Employers: Amazon, Boeing, Meta, Microsoft, Google.
Accreditations and Certifications
Location Advantages: Seattle proximity to Amazon, Microsoft, and broader Pacific Northwest tech community
University of Washington-Bothell Campus — Bothell, WA
Key Distinction: UW Bothell's computing programs uniquely combine traditional computer science with interdisciplinary sustainability studies and comprehensive data analytics integration across multiple departments.
Hakia Insight: UW Bothell's master's program integrates data analytics across departments and leverages campus sustainability initiatives, creating thesis and capstone projects grounded in real environmental challenges—a differentiator for students who want ML applied to climate or conservation.
At the master's level, the University of Washington-Bothell Campus offers comprehensive computing and technology programs through its School of Science, Technology, Engineering & Mathematics, with the Department of Computing & Software Systems at its core. The school provides graduate programs including Master of Science in Computer Science & Software Engineering, Master of Science in Cybersecurity Engineering, and Master of Science in Electrical & Computer Engineering. The programs emphasize both theoretical foundations and practical applications, with options for thesis or project-based completion. The department also offers graduate certificates in Software Design & Development and Electrical & Computer Engineering Foundations. The curriculum integrates interdisciplinary approaches with sustainability and data analytics components, reflecting modern industry needs.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
- Center for Biotechnology Innovation & Training
- National Center of Academic Excellence in Cybersecurity
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.
Requirements: Prerequisite guide available for certificate programs
Accreditations and Certifications
- National Center of Academic Excellence in Cybersecurity
Location Advantages: North Creek Wetland access for environmental studiesCampus sustainability initiatives
Washington State University — Pullman, WA
Key Distinction: Coursework-based program (no thesis). Flexible scheduling allowing part-time completion
Hakia Insight: WSU's Master of Applied Economics is coursework-only with part-time flexibility, but its emphasis on big data and econometrics makes it ideal for students targeting policy, finance, or agricultural tech roles where ML serves decision-making rather than just prediction.
The Master of Applied Economics (MAE) is an industry-focused program emphasizing big data management, data analytics, advanced econometrics, and machine learning skills. The program offers flexible scheduling with most students completing in one year (two semesters), though part-time options allow for longer completion. No thesis is required - the program is coursework-based with practical applications. Rolling admissions accept students for fall or spring start. No GRE required, making entry accessible for working professionals. Graduates achieve strong career advancement with employers like Boeing, Charles River Associates, and USDA, utilizing Python, R, and SQL in roles such as power scheduler, data scientist, and research analyst. The program welcomes diverse academic backgrounds beyond economics including computer science, engineering, business, and social sciences. Limited scholarship funds of approximately $3,000 are sometimes available, though graduate assistantships are not provided. STEM designation allows international students extended OPT periods.
Programs Offered
- Master of Applied Economics — 1-2 years, on-campus. MAE
Research Labs and Institutes
- School of Electrical Engineering and Computer Science
Industry Partners
- Microsoft (corporate)
- Amazon (corporate)
Career Outcomes
Top Employers: Boeing.
Location Advantages: Regional proximity to Microsoft, Amazon, and Pacific Northwest tech ecosystemAccess to agricultural and sustainability computing opportunities
City University of Seattle — Seattle, WA
Key Distinction: The program uniquely emphasizes ethical and human-centered artificial intelligence development through the Center for Cybersecurity Innovation, combining comprehensive AI foundations with practical cybersecurity applications.
Hakia Insight: City University's Center for Cybersecurity Innovation embeds ethical AI and human-centered design directly into the curriculum rather than as electives—with employers like Deloitte already on board, you're learning frameworks that clients actually demand.
At the master's level, city University of Seattle's Machine Learning program is delivered primarily through their Master of Science in Artificial Intelligence (MSAI), which provides comprehensive foundations in AI programming, discrete math and algorithms, machine learning and deep learning, natural language processing, agent-based systems, and cloud computing. The 39-59 credit program emphasizes ethical and human-centered AI applications with hands-on experience through applied capstone projects that simulate real-world scenarios. Students gain technical skills for developing and deploying AI techniques to practical applications, supported by the Center for Cybersecurity Innovation within the School of Technology and Computing. The program offers flexible online delivery with enrollment available all quarters.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
- Center for Cybersecurity Innovation
Industry Partners
- Deloitte (corporate)
- American Express (corporate)
- TCS (corporate)
Career Outcomes
Top Employers: Deloitte, American Express, TCS.
Location Advantages: Seattle tech hub locationAccess to major technology companies
University of Washington-Tacoma Campus — Tacoma, WA
Key Distinction: UW Tacoma's engineering programs integrate resources across schools and offer unique hybrid delivery formats with weekend classes, making advanced education accessible to working professionals while maintaining strong industry partnerships.
Hakia Insight: UW Tacoma's weekend class format and hybrid delivery are marketed as access features, but they also mean your cohort includes mid-career Boeing and defense-sector engineers, giving you peer learning that reflects real applied ML rather than academic abstraction.
At the master's level, university of Washington-Tacoma offers comprehensive engineering and technology programs through its School of Engineering & Technology, though a specific dedicated Machine Learning program is not explicitly mentioned in the source pages. The school provides multiple graduate programs including M.S. in Computer Science & Systems, M.S. in Information Technology, M.S. in Electrical & Computer Engineering, and Master of Cybersecurity & Leadership. The programs emphasize practical experience and theoretical insights, preparing students for advanced professional roles. The school features a Center for Data Science and faculty with expertise in machine learning, databases, cloud computing, and cybersecurity. Programs offer both thesis and capstone pathways, with hybrid delivery options including weekend and online formats. The school maintains strong industry connections and prepares graduates for leadership roles in technology sectors including business, healthcare, and government.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
Notable Faculty
- Derek Atwood — Business intelligence and Machine learning
- Yan Bai — Cybersecurity, cloud computing, IoT, blockchain
- Mohamed Ali — GIS processing, databases and data streams
- Raj Katti — Electrical Engineering
Admissions
GPA Requirement: 3.0. Application Deadline: May 1, 2026 for international students, September 1, 2026 for domestic students.
Requirements: Networking, Human-Computer Interaction, Computer Programming, Database Design, Web Technologies
Location Advantages: Access to Washington state's growing cybersecurity landscapePart of fastest growing IT industry in US and WA state
Saint Martin's University — Lacey, WA
Key Distinction: The MSCS program uniquely combines flexible evening scheduling for working professionals with comprehensive coursework spanning software development, data science, and security, all delivered in a world-class LEED Platinum certified engineering facility.
Hakia Insight: Saint Martin's evening MSCS is delivered in a LEED Platinum facility while Boeing and Intel serve as primary employers—the infrastructure signals serious commitment, and the employer pipeline means you network with hiring managers during the degree itself.
At the master's level, saint Martin's University offers a Master of Science in Computer Science (MSCS) program designed for working professionals and recent graduates, with a strong focus on practical skills development in databases, software engineering, cyber security, artificial intelligence, big data, and data analysis. The program stands out for its flexible scheduling with late afternoon and evening classes to accommodate working professionals. Students develop expertise in software development including mobile apps, video games, and cloud computing, as well as data science specializations in big data, machine learning, and data mining. The program is housed within the Hal and Inge Marcus School of Engineering in a LEED Platinum certified building, providing high-quality lab facilities and tools. The university's Catholic Benedictine tradition emphasizes community, hospitality, justice, listening and stewardship, creating a values-based educational environment. Located in Lacey, Washington, near major technical centers, students can build professional networks with professors and colleagues from various technology and engineering backgrounds.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Industry Partners
- Boeing (corporate)
- Intel (corporate)
Career Outcomes
Top Employers: Boeing, Intel.
Notable Faculty
- Xuguang Chen — Machine learning, Web development, Software engineering, Computer education
Location Advantages: Located near major technical centers in Pacific NorthwestLEED Platinum certified engineering buildingHigh quality lab facilities and tools
Central Washington University — Ellensburg, WA
Key Distinction: CWU's program uniquely combines visual knowledge discovery techniques with traditional machine learning, offering innovative approaches to high-dimensional data visualization and analysis through General Lines Coordinates (GLCs) methodology.
Hakia Insight: CWU's Visual Knowledge Discovery framework using General Lines Coordinates offers a pedagogically distinct path through ML—students learn to *see* high-dimensional patterns before modeling them, a skill that translates directly to exploratory data analysis in industry settings.
At the master's level, central Washington University offers machine learning coursework within a comprehensive computer science program focused on preparing practitioners for industry roles rather than emphasizing research productivity. The curriculum integrates machine learning topics into core CS courses and upper-level electives, allowing students to build competency without requiring a specialized degree track. Faculty bring both academic training and industry experience, emphasizing practical skills and systems thinking over cutting-edge research. The program serves a regionally diverse student body, including many first-generation college students and working professionals, creating a culture of accessibility and applied learning. While CWU lacks the research infrastructure and industry connections of larger Seattle-area universities, it offers smaller class sizes, mentoring-focused advising, and a clear pathway from coursework to employment in regional tech companies and state government technology roles. The machine learning content within the CS program emphasizes software engineering fundamentals, data handling, and model deployment—practical knowledge that translates directly to entry-level data science and ML engineering positions. Career outcomes for CWU computer science graduates show solid placement with regional employers and mid-market tech companies, where the program's emphasis on fundamentals and reliability serves graduates well.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Notable Faculty
- Boris Kovalerchuk — Visual Knowledge Discovery and Machine Learning
Admissions
Acceptance Rate: 88%%.
Requirements:
Location Advantages: State-of-the-art computing facilities in Samuelson HallMain campus in historic Ellensburg with six satellite locations across Washington state17:1 student to faculty ratio
