The 2 Best AI Masters Programs in Oregon

Choosing the right AI masters programs in Oregon can position you as a leader in an emerging tech hub. Oregon State University holds a unique place as the first institution in the country to offer both master’s and doctoral degrees in AI. In fact, Portland’s startup ecosystem has gained momentum, especially in AI and data science. Roux Institute startups raised $58M in investment capital.

In this list, we get into the two leading programs where you can earn your AI degree. We highlight what each artificial intelligence department offers in curriculum and career opportunities.

1. Oregon State University – Master of Science in Artificial Intelligence

Program Overview and Curriculum

Oregon State University’s artificial intelligence department structure reflects the field’s multidisciplinary origins. The program accepts students from any discipline, provided they possess computational proficiency and college-level mathematics background in calculus, linear algebra, and probability/statistics. This approach recognizes that AI contributions span science, engineering, and humanities. It promotes collaboration in a variety of academic backgrounds.

The program offers four distinct degree pathways. The PhD degree targets students pursuing research and teaching positions in academia, industry, and government, alongside leadership roles in AI companies. The MS degree with thesis option prepares you for research and development positions in the AI industry. The MS degree with project option provides that pathway if you prefer industry-oriented software development. The MEng degree serves industry-oriented professionals for those focused on coursework with flexible project experience.

Your curriculum begins with AI 530 Big Ideas in AI, a foundational 3-credit course. You’ll complete an algorithms course worth 4 credits and a 3-credit course addressing ethical and social issues from there. The program requires a minimum of three core AI courses totaling 11 credits, followed by 12 credits of non-core courses approved by the program committee based on your background and research needs.

Core AI course options span multiple specializations. AI 531 Agents, Search and Reasoning and AI 533 Intelligent Agents and Decision Making each carry 4 credits. Machine learning receives dedicated attention through AI 534 Machine Learning and AI 535 Deep Learning, both 4-credit courses. Specialized topics include AI 536 Probabilistic Graphical Models (4 credits), AI 537 Computer Vision I (3 credits), and AI 637 Computer Vision II (4 credits). Robotics applications appear in ROB 534 Sequential Decision Making in Robotics and ROB 538 Multiagent Systems, each worth 4 credits. Ethics integration occurs through PHL 546 Social and Ethical Issues in Artificial Intelligence, which satisfies the ethics requirement with 3 credits.

The MS degree requires 45 total credits. You’ll complete either a 9-credit thesis or a 6-credit project, with remaining credits filled by electives. These electives can include up to 5 credits from AI 501 Research, AI 505 Reading and Conference, AI 506 Projects, AI 507 Seminar, or AI 510 Occupational Internship. This structure allows you to tailor your education while maintaining rigorous technical standards.

Course selection extends beyond the School of Electrical Engineering and Computer Science. Faculty from forestry, business, science, education, health, agricultural sciences, veterinary medicine, pharmacy, liberal arts, and earth sciences contribute to the program’s interdisciplinary character. This breadth enables you to combine AI fundamentals with domain expertise relevant to your career goals.

Faculty Research and Specializations

The AI degree program draws upon faculty expertise in theoretical foundations and applied domains. Core faculty members lead specialized research areas with direct implications for AI advancement.

Alireza Aghasi, Associate Professor, works on AI theory and algorithm analysis, high dimensional probability, and signal and information processing. Sharmodeep Bhattacharyya, also an Associate Professor, brings expertise in statistics, machine learning, network analysis, and neuroscience applications. Patrick Donnelly works on deep learning for non-speech audio and machine learning for music, operating from the Cascades campus.

Medical applications receive attention through Peter G. Jacobs, who holds the James and Shirley Kuse Chair in Chemical Engineering. His research has medical device design, ubiquitous sensing technologies, machine learning, control systems, and signal processing applied to diabetes technologies and diseases like multiple sclerosis. Karthika Mohan, Assistant Professor, concentrates on causal inference, graphical models, missing data, non-independent and identically distributed data, and interference.

Affiliated faculty expand research capabilities into robotics. Ravi Balasubramanian, Associate Professor, contributes to both Artificial Intelligence and Robotics research groups. Geoff Hollinger, Professor, works across AI and robotics applications similarly.

The Interdisciplinary Advisory Committee (IACAI) shapes strategic program directions, which has course development, recruitment, and cross-college research opportunities. Committee members represent diverse fields: Matt Betts from Forestry works on landscape and wildlife ecology. Xiaohui Chang from Business works on space-time modeling for environmental applications and business, big data from social media, and machine learning. Paul Ha-Yeon Cheong brings chemistry expertise from the College of Science.

Additional committee members include Cass Dykman from Education, who works on sentiment analysis, natural language processing, Bayesian statistics, and AI-augmented counter-intelligence. Xiaoli Fern from Engineering researches applied machine learning, graph learning, explainability in machine learning, and machine learning for microbiome. David Hendrix, committee co-chair, concentrates on bioinformatics, computational biology, biological data science, data mining, and machine learning.

Liang Huang, committee chair, leads research in natural language processing (translation, parsing) and computational biology (RNA folding, mRNA design, RNA design). Emily Ho from Health contributes biology and population health viewpoints. Pankaj Jaiswal from Agricultural Sciences works on genomics, bioinformatics, natural language processing, machine learning, high throughput phenotyping, and big data.

Security applications receive focus through Jinsub Kim, who researches security of machine learning, machine learning and AI for energy systems, and autonomous systems. Molly Megraw from Agricultural Sciences works on computational biology, genomics, bioinformatics, and interpretable classical machine learning techniques for highly dependent feature sets. Stephen Ramsey from Veterinary Medicine advances precision medicine, biomedical knowledge graphs, and bioinformatics.

Gaurav Sahay from Pharmacy researches lipid nanoparticles for mRNA delivery in therapeutic applications and uses AI to design nanoparticles. Christopher A. Sanchez from Liberal Arts examines human-computer interaction, human-centered design, cognitive science, and decision making. Steve Strauss from Forestry works on biotechnology, genetically modified organisms, gene editing, CRISPR, regulations, sustainability, and genomics. Robyn Tanguay from Agricultural Sciences works on environmental and molecular toxicology. Yelda Turkan from Engineering works on construction engineering, while Nicole von Germeten from Liberal Arts contributes expertise in global history, gender, race, religion, and storytelling. James Watson from Earth, Ocean, and Atmospheric Sciences studies complex adaptive systems.

Research areas within the program organize around AI for Science and Applications. They investigate how AI accelerates scientific discovery and enables data-driven solutions to societal challenges. Faculty develop machine learning methods contributing to the scientific workflow: hypothesis generation, predictive modeling, experimental design, and decision-making in scientific and engineering domains.

Research emphasis has building AI systems that learn from complex, heterogeneous, and sparse scientific data while integrating physical models and domain knowledge. These systems produce reliable, interpretable insights under uncertainty. Work has extracting structure and anomalies from high-dimensional data, predicting properties of molecules and materials, designing new compounds and systems, and guiding adaptive experiments in automated and robotic laboratories.

Applications span microbiome and multi-omics science, molecular and materials discovery, environmental and climate systems, infrastructure and power-grid forecasting, and domains where integrating data-driven methods with physical models proves essential.

The Artificial Intelligence and Robotics (AIR) research group examines theory, algorithms, and systems for intelligent decisions in complex and uncertain environments. Research covers perception and interpretation of sensor data, learning about environments, knowing how to make decisions, automated planning and reasoning, and interaction of AIR systems with each other and humans. Applications include forest fire management, species conservation, emergency response, precision agriculture, intelligent wheelchairs, ocean exploration, medical applications, and agricultural robotics.

Admissions Requirements and Deadlines

Your application to the Master of Science program follows specific requirements beyond those set by the Office of Graduate Education. You must have completed or be completing a baccalaureate degree from an accredited college or university prior to submission. International applicants need the equivalent of a four-year U.S. baccalaureate degree.

The School of EECS requires a minimum B average, corresponding to a 3.00 GPA on a 4.00 scale, calculated from your last two years of undergraduate work and any subsequent coursework. Requirements include either a three-year baccalaureate with a B average in the last two years plus all subsequent graded coursework, or a three-year baccalaureate with a two-year graduate degree equivalent to 45 quarter credits for applicants from Bologna Declaration signatory countries who completed their baccalaureate after July 1, 2008.

Three letters of professional reference form a required component. These letters must come from former professors or employers familiar with your technical ability. Letters assessing your preparation and knowing how to complete a research project carry particular value. Include your major professor as one reference if you hold a master’s degree. You’ll provide names and email addresses of three references in your online application, and they’ll receive electronic instructions for submission.

Your statement of objectives should occupy one page and summarize your career goals, research interests, and pertinent experience. This document expresses why you’re pursuing an advanced degree and how the program aligns with your objectives.

You must upload unofficial transcripts from every college or university where you earned credit. This has transfer credit, study abroad credit, and college credit earned during high school (except Advanced Placement). Current or past Oregon State students can upload OSU transcripts or advising reports. Web printouts and kiosk copies receive no acceptance.

GRE scores receive no requirement for admission, though you may include them with your application. This policy removes a common barrier while allowing you to submit scores if they strengthen your application.

International applicants must meet English proficiency requirements set by the Office of Graduate Education. Score results must arrive from the testing agency (Duolingo English Test, ETS, or IELTS) by the application deadline directly. The program cannot extend admission without English proficiency test scores or an approved exemption.

Application deadlines differ by degree level and semester. The deadline falls on December 10 for PhD applicants. MS applicants must submit by January 5. The application portal opens August, for Autumn entry. Applications receive review only after the deadline passes. The program notifies applicants of admission decisions by mid-March.

All applicants receive consideration for EECS and university scholarships, fellowships, or assistantships automatically. Accepted applicants will need to submit additional documentation for full admission. The School of EECS does not provide application fee waivers, though Oregon State works with various programs offering fee waivers to eligible applicants.

You must submit all documents in PDF format under 10 MB in size. Application materials uploaded after submission can take up to five days to appear in your Applicant Center. You should apply well before the deadline to allow sufficient time for processing correspondingly.

Tuition Costs and Financial Aid

Oregon State sets tuition and mandatory fees based on residency status annually. Master’s graduates in Oregon earn a median salary of $105,670.00, about 20-30% higher than bachelor’s degree holders. Program tuition averages $9,920.00 per year.

Several categories of students qualify for exemption from non-resident tuition. Oregon House Bill 2787 and Senate Bill SB1563 provide that certain students receive in-state tuition rates. Undocumented students who attended school in the country for at least five years, studied at an Oregon high school for at least three years, graduated from an Oregon high school, enroll in university no more than three years after graduating, and show intention to become a U.S. citizen or lawful permanent resident may receive in-state tuition.

Oregon Senate Bill 1522 expanded exemption categories to include COFA islanders and refugees or special immigrant visa holders who have not established residence in any state or territory of the United States or District of Columbia other than Oregon previously. Students who are enrolled members of the 575 federally recognized Tribes included on the Federal Register receive resident status for tuition purposes. This has members of Tribes added to the Federal Register in future years.

Residency affidavits must reach the Office of Admissions by the last day to register for the term, always the Friday of the first week. The deadline was July 5, 2023 for Summer 2023; for Fall 2023, October 9, 2023. Residency receives no retroactive granting for previous terms. Students attending summer session pay in-state tu

2. Portland State University – Master’s in Artificial Intelligence

Portland’s tech sector provides immediate access to companies driving AI innovation, positioning Portland State University’s Computer Science graduate program as a strategic choice for professionals and researchers. Located in the heart of what locals call “Silicon Forest,” the program connects you directly with major employers including Google, Amazon, and Intel.

Program Overview and Curriculum

Portland State structures its AI education through the Master of Science in Computer Science rather than a standalone AI degree. The program requires 45 credits and can take one and a half years of full-time study to complete. This framework prepares you for advanced careers in the computing industry while creating a research environment that supports doctoral-level preparation.

Entry into the program requires a bachelor’s degree with adequate background in computer science. The curriculum builds around core courses in theory and programming practice, supplemented by a 9-credit concentration in one specialization area. You should take these courses early in your graduate program to establish a strong foundation.

The Artificial Intelligence and Machine Learning track covers modern algorithms underlying intelligent and learning systems. Course topics span knowledge representation, planning, reasoning, combinatorial and adversarial search methods, natural language processing, computer vision, statistical machine learning, and evolutionary and reinforcement learning. This breadth ensures you develop capabilities across the full spectrum of AI applications.

Your track requirements include CS 545 Machine Learning plus two additional courses from an approved list. Beyond track requirements, you must complete electives to reach the 45-credit total. These electives can draw from any 500-level CS course, with specific notes regarding CS 501-509 coursework. A limited number of credits taken outside Computer Science can count toward elective requirements with advisor approval.

The program offers a thesis option for students pursuing research-intensive paths. This flexibility accommodates both those targeting industry software development positions and those preparing for research roles or doctoral studies. Master’s students receive dedicated staff advisor support throughout their entire program, while research-oriented students can pursue thesis projects under faculty guidance.

PhD students in Computer Science engage in four to six years of full-time work, though completion time decreases if you enter with a Master’s degree in computer science. The doctoral program prepares you for advanced research or university teaching, typically required for university-level computer science instruction and employment in prestigious industrial research laboratories.

Faculty Research and Specializations

Faculty expertise at Portland State centers on Artificial Intelligence and Machine Learning as a distinct research area within the Computer Science department. The Maseeh College of Engineering & Computer Science brings together researchers across engineering and computer science to develop intelligent systems that solve real-world problems.

Research areas span language technologies and computer vision to machine learning and data-driven decision-making. Faculty advance the science of AI while partnering with industry and public agencies to apply it in meaningful ways. This connection to systems engineering, cybersecurity, communications, and hardware innovation reflects Portland’s technology sector strengths and the college’s investment in semiconductor and computing research.

The program benefits from five National Science Foundation CAREER award winners among the faculty. This prestigious grant recognizes early-career faculty who demonstrate outstanding potential as academic role models in research and education. Their expertise informs coursework spanning cybersecurity, quantum computing, data science, programming languages, software engineering, systems and networking, and visual computing.

Faculty research projects often involve collaboration with local industry partners, providing students with opportunities to engage in sponsored research. The Computer Science program maintains an industry advisory board and participates in multiple internship programs, including PCEP and MECOP. Regular feedback from industry partners regarding program outcomes shapes curriculum development and ensures alignment with employer needs.

Portland State’s approach to AI emphasizes responsible use as a transformative tool to enhance teaching, learning, and research. The university views AI not as a replacement for human intellect but as a catalyst for innovation requiring thoughtful, human-centered oversight. This philosophy, informed by PSU’s mission and values, prioritizes “Human-in-the-Loop” practices where critical evaluations, final decisions, and ethical judgments remain with people rather than algorithms.

The Office of Academic Innovation offers AI teaching resources and support consultations to all educators at PSU. Professional development opportunities for faculty include the InnovAIte Academy and the ThriveAI Canvas Course. For faculty and researchers, the Office of Research and Graduate Studies provides guidance on incorporating AI into research practices, ensuring that AI’s potential receives responsible application with attention to ethical standards, data privacy, and academic rigor.

Admissions Requirements and Deadlines

The Computer Science graduate program establishes entry requirements through the Maseeh College of Engineering & Computer Science. Students must meet University deadlines for establishing committees and defending dissertations. The program reviews applications based on academic records and demonstrates preparation for graduate-level computer science work.

Beyond standard graduate school requirements, applicants should verify they possess adequate computer science background. This includes foundational knowledge in programming, data structures, algorithms, and computational theory. The program evaluates transcripts to confirm sufficient preparation, particularly for students entering from non-computer science undergraduate majors.

Application materials follow standard graduate school procedures through Portland State’s admissions system. You’ll submit transcripts, letters of recommendation, and a statement of purpose outlining your research interests and career objectives. Faculty review applications to assess fit with program strengths and available research opportunities.

International applicants must demonstrate English language proficiency through accepted testing mechanisms. Score requirements align with Portland State Graduate School standards, ensuring you can engage effectively with coursework and research activities. The program accepts multiple English proficiency tests including TOEFL, IELTS, and Duolingo English Test.

Tuition Costs and Financial Aid

Portland State structures graduate tuition based on credit hours and residency status. For programs in the Maseeh College of Engineering & Computer Science, Oregon residents pay $553.50 per credit hour. The Washington Border Discount rate is $608.85 per credit, while nonresidents pay $799.50 per credit hour.

When calculating total program costs for the 45-credit Master of Science degree, Oregon residents can expect approximately $24,907.50 in base tuition. Washington Border Discount recipients would pay around $27,398.25, and nonresidents approximately $35,977.50. These figures represent tuition only and don’t include mandatory fees or living expenses.

Mandatory fees for graduate students vary based on enrollment status. Full-time graduate enrollment begins at 9 or more credits per term. The Building Fee supports debt service for campus construction and renovation projects, with amounts varying by credit enrollment. The Incidental Fee funds Student Activities & Leadership Programs, resource centers, childcare services, and athletic activities, also scaling with credit hours.

The Student Health Center Fee applies to all students taking 5 or more in-load, non-Restricted Differential Tuition credit hours. This mandatory assessment supports services offered by the Center for Student Health and Counseling, both remote and in-person. The Academic Student Recreation Center fee covers construction, maintenance, operation costs, and equipment for the recreation facility.

Online courses carry an additional fee of $22.00 per credit. New students pay a one-time matriculation fee of $475.00, billed at the beginning of the first term. This fee covers costs associated with admissions, student orientation, transcripts, information technology, and other enrollment services for new students.

Portland State offers health insurance at $1,189.00 per term, though you can waive this premium with proof of alternative coverage. This option allows you to avoid duplicate insurance costs if you maintain coverage through an employer or family plan.

Estimated Annual Costs Beyond Tuition

Alternative cost estimates suggest Portland State’s tuition reaches $10,263.00 for in-state students and $26,463.00 for out-of-state students annually. At the total cost level, including housing, books, and other expenses, in-state students face approximately $26,439.00 per year, while out-of-state students encounter $41,883.00. These figures provide upper-bound estimates useful for financial planning.

The net price, representing average costs after aid and scholarships, comes in at $13,843.00 for in-state students receiving need-based aid and $32,590.00 for out-of-state students with aid. This substantial reduction from sticker prices demonstrates the impact of financial assistance programs.

Housing and meal plans total approximately $12,522.00 per year. Living in Portland brings urban costs for transportation, entertainment, and dining, adding roughly $2,259.00 depending on your lifestyle. Students often reduce textbook expenses, budgeted at approximately $798.00 annually, by purchasing used books, utilizing library resources, or sharing materials with classmates.

Financial aid and scholarships can significantly reduce these costs. Portland State offers federal work-study and campus employment opportunities, allowing you to earn money while gaining experience relevant to your academic interests. Positions range from library roles to research assistant positions, many connecting directly to your field of study.

External scholarships from private organizations, community foundations, and employers supplement Portland State’s aid packages. Students often secure thousands in additional funding through strategic applications to multiple scholarship opportunities. Graduate assistantships provide both financial support and valuable teaching or research experience under faculty mentorship.

Campus Facilities and Resources

Portland State provides access to significant research literature through subscriptions to the ACM Digital Library and IEEE Xplore, plus commercially published journals. The Library offers Inspec as a specialized search engine for computer science topics, supporting students seeking background reading beyond course materials.

The Maseeh College of Engineering & Computer Science maintains an 82% employment rate for students six months after graduation. This outcome benefits from various internship programs available to students, including MECOP and CS-specific internships through PCEP. These structured pathways into industry provide practical experience while you complete your degree.

Portland State’s location offers exceptional convenience for part-time students and working professionals seeking credentials that advance their careers. The program provides a flexible and supportive environment designed for your success, recognizing that many graduate students balance coursework with professional responsibilities.

Real-world experience comes through local internships, which can count toward a portion of your required degree credits. This integration of academic and practical learning accelerates skill development while building professional networks. Portland’s concentration of tech companies provides abundant internship opportunities across AI specializations.

PSU provides faculty, staff, and students with access to generative AI tools, including Google’s Gemini and NotebookLM products. When using or procuring AI tools, you must follow PSU’s guidelines and policies. The Office of Academic Affairs formed a Generative AI Task Force in Summer 2023 that transitioned to a Working Group in Spring 2024, composed of representatives from across the university including faculty, IT, research offices, and student affairs.

According to LinkedIn data, Portland Metropolitan area hosts 526 AI job openings. Having an AI degree supports the needs of local employers in this in-demand area, providing direct pathways from graduation to employment. The Computer Science program leverages its industry advisory board connections to align curriculum with employer skill requirements.

The BS in AI program proposal demonstrates Portland State’s commitment to expanding AI education. The program maintains ABET accreditation for its CS program, with renewals occurring every six years. This accreditation ensures quality standards and provides confidence to employers regarding graduate preparation.

Career Outcomes and Industry Partnerships

Graduates of PSU’s computer science program who completed their degrees recently show strong employment outcomes, with 80% employed or in graduate school. These graduates report an average salary of $73,000.00, positioning them competitively in the job market. Both employment rates and salaries likely continue growing, particularly for those with AI and machine learning specializations.

The Bureau of Labor Statistics projects demand for software developers will increase 22% from 2019 to

Next Steps

Now that you’ve explored both AI masters degree programs in Oregon, the choice comes down to your career goals and learning priorities. Oregon State University offers a dedicated AI degree with flexible pathways. Portland State integrates AI through its Computer Science program with access to Portland’s tech hub. Both programs provide faculty expertise and strategic collaborations with good employment outcomes.

Either program positions you to capitalize on Oregon’s growing AI ecosystem and the projected 22% growth in software development roles. Take time to review the curriculum structure, research opportunities, and location advantages that line up best with your professional objectives before submitting your application.