Best Associate's Machine Learning Degree Programs in Oregon
Clackamas Community College — Oregon City, OR
Hakia Insight: Clackamas' location in the Portland metro where Intel, IBM, and Amazon maintain active hiring means you're not just learning machine learning—you're building a network in one of the Pacific Northwest's most concentrated tech labor markets.
At the associate's level, the Portland metro's demand for data professionals creates constant job openings, and Clackamas' machine learning program delivers the exact skills employers need right now. You'll study Python, SQL, statistics, and cloud computing in a modern lab setting with up-to-date hardware and software. The program's advisory board includes hiring managers from local tech firms, so curriculum stays aligned with market demands. Many students work while studying, and Clackamas offers flexible scheduling to make that possible. Career services actively connects graduates with positions in Portland-area companies. If you're in the Portland region and want to enter the job market quickly without taking on four years and full tuition at a university, this is a proven, efficient route.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Career Outcomes
Top Employers: Intel, IBM Portland, Amazon (Portland office), Microsoft, Tech startups in Portland, Providence Health.
Top Transfer Destinations
- Portland State University
- Oregon State University
- University of Oregon
Entry-Level Career Paths
- Data Analyst
- Junior Machine Learning Engineer
- IT Support Technician
- Business Intelligence Associate
- Junior Software Developer
- QA Automation Engineer
Included Certifications
- AWS Cloud Practitioner
- Google Cloud Associate Cloud Engineer
- Python Institute PCAP
- Microsoft Azure Fundamentals
Location Advantages:
Lane Community College — Eugene, OR
Hakia Insight: Lane's partnerships with University of Oregon research departments create an unusual pipeline for associate-degree holders: many move directly into research-support roles that typically require a four-year degree, accelerating both income and upskilling.
At the associate's level, industry partnerships with tech companies in the Eugene-Springfield corridor mean LCC students often have internship or job leads before graduation. The curriculum covers machine learning algorithms, data preprocessing, and practical Python development—exactly what local employers need. You'll spend significant time in hands-on labs with real datasets, and the program actively integrates cloud platforms (AWS, Google Cloud) into coursework. Transfer agreements with University of Oregon make it seamless to continue to a four-year degree if you want. Many graduates move directly into entry-level roles at tech firms, nonprofits, and government agencies across the Willamette Valley, often with LCC's Career Services team still supporting your job search.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Career Outcomes
Top Employers: University of Oregon research departments, Eugene tech companies, Nonprofits in Oregon, Regional healthcare systems.
Top Transfer Destinations
- University of Oregon
- Oregon State University
- Portland State University
Entry-Level Career Paths
- Data Analyst
- Junior Machine Learning Engineer
- Business Intelligence Analyst
- Research Analyst
- Data Support Specialist
Included Certifications
- AWS Cloud Practitioner
- Google Cloud Associate Cloud Engineer
- CompTIA A+
- Microsoft Azure Fundamentals
Location Advantages:
Rogue Community College — Grants Pass, OR
Hakia Insight: Rogue's curriculum is deliberately built around what southern Oregon employers actually hire for rather than national standards, meaning you graduate with skills immediately marketable to Rogue Valley Medical Center and regional tech firms instead of competing for Portland jobs.
At the associate's level, rogue's machine learning track emphasizes getting you job-ready in two years, with a curriculum built around what southern Oregon employers actually hire for. You'll focus on practical programming, data cleaning, and business intelligence—the day-one skills companies need. The program is flexible: offered in on-campus and hybrid formats so working students can keep their current job while upskilling. Instructors come from industry backgrounds and often hire their own graduates. The region around Medford and Grants Pass is seeing tech growth, and there's less competition for roles here than in Portland or Eugene. If you want to enter the workforce quickly and build a strong local network, this is a direct path.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Career Outcomes
Top Employers: Southern Oregon University, Rogue Valley Medical Center, Local tech companies, Hospitality and tourism businesses.
Top Transfer Destinations
- Oregon State University
- University of Oregon
- Southern Oregon University
Entry-Level Career Paths
- Data Analyst
- Junior Developer
- IT Support Technician
- Business Intelligence Associate
- Database Administrator
Included Certifications
- AWS Cloud Practitioner
- Google Analytics Certificate
- CompTIA A+
Location Advantages:
Clatsop Community College — Astoria, OR
Key Distinction: Clatsop Community College provides affordable Machine Learning education with flexible scheduling and transfer pathways to four-year universities.
Hakia Insight: Clatsop's Astoria location and transfer pathways mean you can complete your associate in a tight-knit cohort before moving to a four-year program, avoiding the anonymity of large intro classes while maintaining credit portability.
Clatsop Community College offers Machine Learning programs in Astoria, OR. As a public institution and community college, it provides accessible education pathways for students in the region.
Blue Mountain Community College — Pendleton, OR
Key Distinction: Blue Mountain Community College provides affordable Machine Learning education with flexible scheduling and transfer pathways to four-year universities.
Hakia Insight: Blue Mountain's Pendleton base serves Eastern Oregon's emerging tech corridor, positioning graduates to lead machine learning adoption in a region where local expertise commands premium placement over out-of-state competition.
Blue Mountain Community College offers Machine Learning programs in Pendleton, OR. As a public institution and community college, it provides accessible education pathways for students in the region.
Best Bachelor's Machine Learning Degree Programs in Oregon
Oregon State University — Corvallis, OR
Key Distinction: OSU integrates machine learning deeply into applied domains like robotics, bioinformatics, and sustainable systems, with strong industry partnerships and a land-grant research culture that prioritizes real-world impact.
Hakia Insight: Oregon State's proximity to Intel and IBM isn't just geographic—the Robotics and Intelligent Systems Lab gives undergrads direct pathways into applied projects that these employers actively fund, collapsing the usual gap between capstone work and production-grade research.
At the bachelor's level, oregon State's machine learning offerings emerge from one of the Pacific Northwest's strongest engineering and computer science research ecosystems. The program emphasizes applied machine learning across robotics, bioinformatics, and sustainable systems—areas where OSU maintains significant R&D momentum. Students engage with real-world datasets and problems through capstone projects and industry collaborations, particularly with tech firms in Portland and research institutions focused on agriculture and environmental monitoring. The curriculum balances theoretical foundations in algorithms and statistical learning with hands-on experience in deep learning frameworks and data engineering. OSU's location in the Willamette Valley and proximity to Portland's growing tech corridor creates internship and networking advantages, while the university's land-grant mission means many ML applications focus on societal impact—from precision agriculture to climate modeling. Faculty research spans computer vision, natural language processing, and federated learning, with strong connections to national labs and industry. Graduates report solid placement in roles ranging from data science to machine learning engineering, often with companies leveraging OSU's local reputation and engineering pipeline.
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 (EECS)
- Robotics and Intelligent Systems Lab
Industry Partners
- Intel (corporate)
- IBM (corporate)
- Microsoft (corporate)
Career Outcomes
Top Employers: Intel, IBM, Microsoft, Google, Amazon.
Notable Faculty
- Sinisa Todorovic — Computer vision, action recognition, video understanding
- Prasad Tadepalli — Machine learning, reinforcement learning, AI planning
Accreditations and Certifications
- ABET accredited (Engineering and Computer Science programs)
Location Advantages: Proximity to Portland tech corridor (Intel, IBM, Tripwire, Jama Software)Access to Pacific Northwest research institutionsLand-grant research partnerships in agriculture and environmental scienceLocal tech community and networking opportunities
Lewis & Clark College — Portland, OR
Key Distinction: Lewis & Clark's ML program uniquely roots machine learning in domain expertise and ethical analysis, preparing students to work at the intersection of technology and social impact.
Hakia Insight: While most ML programs treat ethics as an afterthought elective, Lewis & Clark embeds it into the core curriculum alongside domain expertise, meaning graduates can credibly lead technical discussions in nonprofits and government agencies where ethical reasoning actually determines hiring decisions.
At the bachelor's level, lewis & Clark's machine learning offerings are embedded within a liberal arts computing science framework that emphasizes both technical depth and ethical reasoning—a distinctive approach for an institution of its size and type. Rather than isolating ML as a siloed specialization, the program weaves machine learning concepts throughout the computer science curriculum, from foundational algorithms courses to advanced electives in neural networks, natural language processing, and data science. Students benefit from small class sizes and direct faculty mentorship, enabling hands-on projects that move beyond toy problems into real datasets and applications. The college's location in Portland, Oregon positions students near growing tech communities and provides internship opportunities with local companies and startups. Coursework emphasizes not just implementation skills but also the broader implications of algorithmic decision-making—students engage with bias in training data, interpretability challenges, and responsible AI principles alongside technical machine learning. The program attracts faculty who value teaching and undergraduate research collaboration, creating genuine opportunities for students to contribute to faculty projects rather than simply consuming pre-designed labs. Graduates have pursued roles in machine learning engineering, data science, and AI research at both established tech firms and emerging AI-focused startups, often citing the program's blend of rigor and humanistic context as distinctive preparation for industry work.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
- Data for Good organizations (various) (nonprofit)
Career Outcomes
Top Employers: Portland State University (research partnerships), Social impact nonprofits, Local government agencies.
Location Advantages: Portland metro: strong nonprofit and social enterprise presenceAccess to environmental and climate-focused organizationsGrowing civic tech and government data innovation sector
Portland State University — Portland, OR
Key Distinction: Engineering Work Experience internship program. Multiple Engineering Cooperative Program (MECOP)
Hakia Insight: Portland State's Engineering Cooperative Program (MECOP) isn't a resume-padding internship pipeline—it's structured rotation that places students in real roles at Intel and the City of Portland, giving them 12-18 months of continuous project ownership before graduation.
PSU's Computer Science Bachelor's program is a 180-credit degree blending core programming, systems, and theory courses with electives covering AI, machine learning, web development, and cybersecurity. The program requires upper division admission eligibility beyond PSU admission. Students gain hands-on experience through world-class labs and collaborative projects with organizations like Portland State Aerospace Society. More than half of students secure paid internships through the Engineering Work Experience and Multiple Engineering Cooperative Program with companies like Intel, Nike, Amazon, and Zoom. The program features specialized coursework in theoretical computer science and AI, plus capstone projects creating software for real community needs with local business mentors. Located in Portland's Silicon Forest, students benefit from extensive industry connections. Maseeh College achieves 85% job placement with computer science graduates earning $90,000+ starting salaries. The program is ABET-accredited and prepares students for roles in machine learning, software engineering, cybersecurity, and systems analysis.
Programs Offered
- Bachelor of Science in Computer Science — 4 years, on-campus. BS
Research Labs and Institutes
- Oregon Nanoscience and Microtechnologies Center
Industry Partners
- City of Portland Bureau of Transportation (government)
- Portland General Electric (corporate)
- Intel (corporate)
- Local nonprofits (various) (nonprofit)
Career Outcomes
Median Salary: $NaN. Top Employers: Amazon, Apple, Boeing, Intel.
Notable Faculty
- Melanie Mitchell — Artificial intelligence, complexity science, machine learning interpretability
Location Advantages: Downtown Portland location: direct engagement with city government and civic techProximity to Intel campus and Pacific Northwest tech ecosystemAccess to environmental and sustainability-focused organizationsStrong local startup and venture capital scene
Willamette University — Salem, OR
Key Distinction: Willamette's program uniquely emphasizes the business and communication dimensions of machine learning, preparing students to lead ML initiatives in non-tech industries.
Hakia Insight: Willamette's emphasis on business communication and non-tech industry applications addresses a real market gap: most ML graduates compete for saturated tech roles, but Willamette positions students to be the rare technical leader in finance, insurance, and manufacturing sectors where ML expertise is scarce.
At the bachelor's level, willamette's machine learning program distinguishes itself through an emphasis on ethical AI and responsible computing practices woven throughout the curriculum. Rather than treating ML as a purely technical discipline, the program integrates philosophy and policy considerations into core coursework, preparing students to navigate the societal implications of their work. The curriculum balances theoretical foundations with practical implementation, featuring hands-on projects that span supervised and unsupervised learning, deep neural networks, and natural language processing. Faculty bring industry and research experience, mentoring undergraduates through capstone projects that often address real-world problems in data analysis and predictive modeling. The intimate class sizes characteristic of Willamette's liberal arts environment foster close collaboration between students and instructors, enabling personalized guidance in both technical skill development and research direction. Career outcomes for graduates span tech companies, financial institutions, and research organizations, with many students continuing to graduate programs in machine learning, statistics, or related fields. The program benefits from the school's location in the Pacific Northwest, providing networking opportunities with tech hubs while maintaining the distinctive educational philosophy that emphasizes critical thinking alongside computational competency.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages: Salem government and policy sectorRegional finance, insurance, and manufacturing industries
University of Portland — Portland, OR
Key Distinction: University of Portland offers comprehensive Machine Learning programs preparing students for careers in technology.
Hakia Insight: University of Portland's positioning as an accessible private institution in the Portland ecosystem offers a middle path—tuition between OSU and elite schools, but direct access to the same Intel and tech corridor partnerships that define the region's ML ecosystem.
University of Portland offers Machine Learning programs in Portland, OR. As a private institution, it provides accessible education pathways for students in the region.
Linfield University — McMinnville, OR
Key Distinction: A computer science program that prioritizes hands-on machine learning applications through industry-sponsored capstones and regional tech partnerships rather than pursuing pure research depth.
Hakia Insight: Linfield's industry-sponsored capstones with Intel and IBM mean students aren't hypothetically solving problems—they're shipping solutions that employers have pre-committed to evaluating, transforming final projects into de facto job interviews.
At the bachelor's level, linfield's machine learning coursework is embedded within a strong computer science curriculum that emphasizes practical application over theory-heavy abstracts. Students progress through a sequence that builds from foundational programming and discrete mathematics into specialized electives in neural networks, data mining, and intelligent systems—with particular strength in applied projects that connect classroom concepts to real datasets. The program benefits from Linfield's location in McMinnville, Oregon, where partnerships with regional tech companies and startups create internship pipelines and capstone sponsorships. Faculty maintain active research interests in computational intelligence and software engineering, often involving undergraduates in collaborative work. Graduates typically move into junior data scientist, machine learning engineer, or software development roles at mid-sized tech firms and larger enterprises with Portland-area operations. The culture emphasizes mentorship and small class sizes, meaning you're not a number—professors know your work and can write detailed recommendation letters. While Linfield isn't positioned as a machine learning research powerhouse, it delivers a well-rounded computer science education with genuine applied ML components and strong student outcomes in the field.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
- Intel (corporate)
- IBM (corporate)
Notable Faculty
- Chuck Lundon — Mathematics and Computer Science
- Yujie Wang — Mathematics and Computer Science
- Jennifer Nordstrom — Mathematics and Computer Science
- Michael Hitchman — Mathematics and Computer Science
- Kate Lorenzen — Mathematics and Computer Science
- Stephen Bricher — Mathematics and Computer Science
- Daniel Ford — Mathematics and Computer Science
- Nurideen Abubakari — Mathematics and Computer Science
Location Advantages: Proximity to Portland, Oregon tech ecosystemAccess to regional startup and mid-market tech internships
Southern Oregon University — Ashland, OR
Key Distinction: Southern Oregon's machine learning track prioritizes accessible, practical training with flexibility for working students and real-world projects in resource-constrained organizational settings.
Hakia Insight: Southern Oregon's accessibility model for working professionals includes built-in flexibility for resource-constrained organizations, producing graduates who understand how to deploy ML in real companies with actual budget limitations—a skillset most elite programs ignore entirely.
At the bachelor's level, southern Oregon University's computer science program introduces machine learning within a broad, accessible computer science curriculum designed for working professionals and traditional undergraduates alike. The ML instruction focuses on practical application rather than pure research, with courses covering supervised learning, unsupervised clustering, natural language processing, and computer vision implemented through real datasets and industry-standard tools. The smaller program size means faculty can provide individualized attention, tailoring projects to student interests—whether that's predictive analytics for business, image classification for environmental monitoring, or recommendation systems. Many students are place-bound or working while studying, so the program emphasizes flexibility and remote-friendly instruction where feasible. Internship and project opportunities often emerge through Southern Oregon's partnerships with local government agencies, small businesses, and nonprofits, giving students exposure to ML challenges in resource-constrained environments where elegant, efficient solutions matter most. Career services connect graduates to entry-level and mid-career roles in data analysis, business intelligence, and applied AI roles. The Rogue Valley location provides a lower cost-of-living advantage and a supportive regional tech community.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages: Regional tech and environmental organizationsAshland's growing tech-forward community
Pacific University — Forest Grove, OR
Key Distinction: Pacific's machine learning program is anchored in applied engineering with particular strength in healthcare-domain applications, combining rigorous technical training with industry mentorship and capstone projects.
Hakia Insight: Pacific's healthcare domain focus isn't decorative—it creates a specialized pipeline where students graduate with both ML rigor and biotech fluency, a combination that healthcare companies actively recruit for at significantly higher starting salaries than general-track graduates.
At the bachelor's level, pacific University's machine learning offerings integrate with its engineering and applied computer science curriculum, emphasizing hands-on projects and real-world problem-solving. The program benefits from Pacific's strong connections to healthcare and biotech industries—a natural fit for machine learning applications in medical imaging, diagnostics, and clinical decision support. Students engage in capstone projects that often involve local healthcare partners, building portfolios that directly demonstrate ML competency in high-impact domains. The engineering school's approach to ML instruction centers on practical implementation: students learn model deployment, data pipeline management, and cross-functional collaboration alongside algorithm theory. Faculty maintain active consulting relationships with industry, bringing current challenges and tools into the classroom. Internship placements are facilitated through Pacific's regional network, with many students gaining experience at healthcare technology firms, financial services companies, and manufacturing enterprises. The program balances algorithm depth with systems thinking, preparing graduates for roles where ML is embedded in larger technical architectures. Career support is personalized, with advisors tracking outcomes and actively connecting graduates to roles that match their specialization interests.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages: Portland metro area tech ecosystemProximity to healthcare and biotech companies
Best Master's Machine Learning Degree Programs in Oregon
Oregon State University — Corvallis, OR
Key Distinction: Coursework-only M.Eng. track vs research project M.S. track. Entirely online delivery with 11-week quarters
Hakia Insight: Oregon State's 11-week quarter system compressed into an entirely online M.Eng. means students can complete a degree in 15 months while working full-time—not by cutting rigor, but by eliminating semester downtime, making it genuinely faster than part-time programs elsewhere.
Oregon State University offers online Master of Engineering (M.Eng.) and Master of Science (M.S.) in Computer Science programs designed for working professionals. The M.Eng. is a coursework-only track requiring 45 quarter credits (30 semester credits), while the M.S. includes the same curriculum plus a hands-on research project designed with faculty. Both programs feature cutting-edge coursework in artificial intelligence, computer architecture, cybersecurity, and machine learning. Classes are delivered entirely online with 11-week quarters, allowing flexibility for working professionals. Students receive one-on-one support from instructors and program advisors, plus connection with a worldwide community of computer science professionals. The programs are taught by renowned OSU faculty known for research and innovation, and graduates receive the same diploma as on-campus students. Oregon State is accredited by the Northwest Commission on Colleges and Universities.
Programs Offered
- Master of Science in Computer Science / Master of Engineering in Computer Science — 1-2 years, on-campus. MS/MEng
Research Labs and Institutes
- School of Electrical Engineering and Computer Science (EECS)
- Robotics and Intelligent Systems Lab
Industry Partners
- Intel (corporate)
- IBM (corporate)
- Microsoft (corporate)
Career Outcomes
Top Employers: Intel, IBM, Microsoft, Google, Amazon.
Notable Faculty
- Sinisa Todorovic — Computer vision, action recognition, video understanding
- Prasad Tadepalli — Machine learning, reinforcement learning, AI planning
Accreditations and Certifications
- ABET accredited (Engineering and Computer Science programs)
Location Advantages: Proximity to Portland tech corridor (Intel, IBM, Tripwire, Jama Software)Access to Pacific Northwest research institutionsLand-grant research partnerships in agriculture and environmental scienceLocal tech community and networking opportunities
Portland State University — Portland, OR
Key Distinction: One-year full-time or two-year part-time options. Fully online or hybrid delivery for working professionals
Hakia Insight: Portland State's Applied Data Science for Business program, taught by Melanie Mitchell (AI interpretability researcher), uniquely bridges research-grade machine learning theory with business strategy—students learn from faculty solving real interpretability problems for industry partners like Portland General Electric.
Portland State University's STEM-designated Master of Science in Applied Data Science for Business bridges technical data science with strategic business leadership. The program offers maximum flexibility for working professionals with fully online or hybrid delivery, plus one-year full-time and two-year part-time completion options. Students master AI, machine learning, and deep learning technologies while developing strategic thinking skills. The curriculum includes hands-on training in high-demand tools like R, Python, Tableau, and Power BI. Three concentration options allow specialization: Business Intelligence & Analytics, Enterprise Analytics, or Health & Clinical Informatics. Graduates typically advance to senior management and director roles including Analytics Manager, IT Manager, and Digital Marketing Manager. The program leverages Portland's vibrant business community for industry connections and real-world case studies. AACSB accreditation from a top 1% business school ensures elite recognition. Career management support includes mentoring, resume workshops, and job placement assistance.
Programs Offered
- Master of Science in Applied Data Science for Business — 1-2 years, on-campus. MS
Research Labs and Institutes
- Oregon Nanoscience and Microtechnologies Center
Industry Partners
- City of Portland Bureau of Transportation (government)
- Portland General Electric (corporate)
- Intel (corporate)
- Local nonprofits (various) (nonprofit)
Notable Faculty
- Melanie Mitchell — Artificial intelligence, complexity science, machine learning interpretability
Location Advantages: Downtown Portland location: direct engagement with city government and civic techProximity to Intel campus and Pacific Northwest tech ecosystemAccess to environmental and sustainability-focused organizationsStrong local startup and venture capital scene
University of Oregon — Eugene, OR
Key Distinction: Teaching and research fellowships available. Research fellowships funded by NSF, NIH, and industry sponsors
Hakia Insight: University of Oregon's research fellowships funded by NSF, NIH, and industry sponsors mean many students enter the program with their tuition already covered, flipping the financial model so that master's students can choose labs by interest rather than funding availability.
The Master of Science in Computer Science at University of Oregon prepares students for expanding career opportunities in fields ranging from aerospace software development to graphics and animation. The program offers three specialization tracks: foundations, data science, and systems, with broad coursework coverage complementing depth specialization. Students can pursue cybersecurity as a specialized track. Graduate assistantships are available through teaching and research fellowships, with research fellowships funded by NSF, NIH, and industry sponsors. Recent graduates work at top companies including Amazon, Facebook, Snapchat, and national laboratories. The program emphasizes experiential learning with hands-on projects, live deployments, and in-class coding. The department is highly ranked nationally (#27 for Natural Language Processing, #44 for Artificial Intelligence, #47 for Computer Vision). Endowed awards and fellowships are available from the department, College of Arts and Sciences, and university level.
Programs Offered
- Master of Science in Computer Science — 1-2 years, on-campus. MS
Research Labs and Institutes
- Computational Biology and Bioinformatics Laboratory
- Visualization and Graphics Laboratory
Industry Partners
- Nike (corporate)
- Intel (corporate)
- Cloudflare (corporate)
Career Outcomes
Top Employers: Amazon.
Notable Faculty
- Boyan Ögül — Machine learning, deep learning applications
Location Advantages: Proximity to Portland tech ecosystem (90 minutes north)Access to Pacific Northwest open-source and startup communitiesGrowing regional presence of major tech R&D labs
Best Doctoral Machine Learning Degree Programs in Oregon
Oregon State University — Corvallis, OR
Key Distinction: Written preliminary exam after first year focusing on microeconomic theory and econometrics. Required empirical research paper in second year with faculty advisor
Hakia Insight: OSU's Applied Economics PhD, paired with its EECS research labs, creates an unusual advantage for students interested in ML applied to climate, agriculture, or resource economics—they get rigorous quantitative training from domain experts rather than learning economics as an afterthought in a CS program.
The Applied Economics PhD at Oregon State University offers a 4-year program focused on quantitative economic analysis in agriculture, natural resources, environment, trade, development, energy, and health care. The program requires 108 credits minimum including 36 dissertation credits. Students complete core courses in microeconomic theory and econometrics, choose two concentration areas (Natural Resource/Environmental Economics, Development Economics, or custom area), and write an empirical research paper in year two. The program includes a written preliminary exam after year one, an empirical research paper requirement in year two, and a comprehensive oral qualifying exam by fall of year three. Students work closely with faculty advisors starting in their second year. The program emphasizes rigorous training in economic theory, econometrics, and computational methods, preparing graduates for careers in academia, consulting, government, and industry. No specific funding package details, faculty ratio, publication requirements, or placement statistics are provided in the available information.
Programs Offered
- Applied Economics PhD — 4-6 years, on-campus. PhD
Research Labs and Institutes
- School of Electrical Engineering and Computer Science (EECS)
- Robotics and Intelligent Systems Lab
Industry Partners
- Intel (corporate)
- IBM (corporate)
- Microsoft (corporate)
Notable Faculty
- Sinisa Todorovic — Computer vision, action recognition, video understanding
- Prasad Tadepalli — Machine learning, reinforcement learning, AI planning
Accreditations and Certifications
- ABET accredited (Engineering and Computer Science programs)
Location Advantages: Proximity to Portland tech corridor (Intel, IBM, Tripwire, Jama Software)Access to Pacific Northwest research institutionsLand-grant research partnerships in agriculture and environmental scienceLocal tech community and networking opportunities
Portland State University — Portland, OR
Key Distinction: Faculty advisor assigned upon admission. Advisory committee of four faculty members assigned in first term
Hakia Insight: Portland State assigns a full advisory committee of four faculty members in the first term, not the third year—meaning doctoral students spend less time floundering and more time on directed research that actually connects to the city's civic tech partnerships and Intel collaborations.
The PhD in Computer Science at Portland State University is designed to prepare students for advanced research and university teaching careers. The program requires 90 graduate credits including 18 credits of core courses, 27 credits of electives, 18 credits of CS 601 Research, and 27 credits of dissertation research. Students typically complete the degree in 4-6 years of full-time study, with shorter duration possible for those entering with a master's degree. The program structure includes establishing residency, faculty advising with an advisory committee, completing core coursework (expected by end of second year), passing a Research Proficiency Examination (comprehensive exam), forming a dissertation committee, defending a dissertation proposal, conducting original research, and defending the dissertation. Students work closely with faculty advisors and advisory committees from their first term. The program emphasizes original research contribution through the dissertation requirement and prepares graduates for university-level teaching positions and employment in prestigious industrial research laboratories.
Programs Offered
- Doctor of Philosophy in Computer Science — 4-6 years, on-campus. PhD
Research Labs and Institutes
- Oregon Nanoscience and Microtechnologies Center
Industry Partners
- City of Portland Bureau of Transportation (government)
- Portland General Electric (corporate)
- Intel (corporate)
- Local nonprofits (various) (nonprofit)
Notable Faculty
- Melanie Mitchell — Artificial intelligence, complexity science, machine learning interpretability
Location Advantages: Downtown Portland location: direct engagement with city government and civic techProximity to Intel campus and Pacific Northwest tech ecosystemAccess to environmental and sustainability-focused organizationsStrong local startup and venture capital scene
University of Oregon — Eugene, OR
Key Distinction: Oregon's program stands out for embedding machine learning across interdisciplinary research contexts rather than treating it as a standalone computer science specialization.
Hakia Insight: University of Oregon's interdisciplinary ML emphasis, anchored in labs like Computational Biology and Bioinformatics, lets students graduate with genuine hybrid expertise (ML + domain) rather than pure CS depth—a profile that biotech and visualization-heavy companies (Nike, Intel) actively prefer for research roles.
At the doctoral level, the University of Oregon's machine learning program emphasizes applied computational thinking within a liberal arts research context. Rather than siloing ML into pure computer science, the program integrates machine learning across multiple disciplines—from data journalism and sports analytics to environmental modeling and cognitive science—reflecting Oregon's interdisciplinary strength. The curriculum balances theoretical foundations (algorithms, probability, linear algebra) with hands-on project work in real domains, giving students experience in problem formulation as much as model building. Faculty actively involve undergraduates in research, particularly through the university's strong connections to open-source communities and Pacific Northwest tech innovation. Graduate students benefit from close collaboration with faculty on published research, and the program explicitly prepares students for both industry data science roles and PhD pathways. Oregon's location in the Eugene tech corridor, combined with growing Portland metro connections, creates internship pipelines to mid-market tech firms and startups. The program values breadth—students encounter ethics in AI, interpretability, and domain expertise as core competencies rather than electives.
Programs Offered
- Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
- Doctor of Science in Machine Learning — 4-6 years, online
Research Labs and Institutes
- Computational Biology and Bioinformatics Laboratory
- Visualization and Graphics Laboratory
Industry Partners
- Nike (corporate)
- Intel (corporate)
- Cloudflare (corporate)
Career Outcomes
Top Employers: Nike, Intel, Amazon, Microsoft.
Notable Faculty
- Boyan Ögül — Machine learning, deep learning applications
Location Advantages: Proximity to Portland tech ecosystem (90 minutes north)Access to Pacific Northwest open-source and startup communitiesGrowing regional presence of major tech R&D labs