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Artificial Intelligence

Computer chip.
Degree Type
Corvallis Campus
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Shape the future with the power of artificial intelligence

Oregon State University has a long history of excellence in artificial intelligence since the early days of computer science. Today, AI is contributing to all areas of science, engineering, and the humanities. To encompass this diversity, our first-of-its-kind AI graduate program offers a flexible curriculum that allows students to take courses in core AI as well as other disciplines relevant to their research interests.

We welcome students from all disciplines with appropriate mathematical and programming background, including engineering, computer science, and biology — to name just a few. No matter what you’ve studied previously, your unique perspective will enrich the AI landscape, fostering collaboration and pushing the boundaries of possibility.

Surrounded by the beauty of the Pacific Northwest, you’ll thrive in an enriched learning environment. You’ll find the flexibility to take courses in AI as well as other disciplines relevant to your research interests. And, with the depth and breadth of Oregon State’s other world-class programs, you’ll have the opportunity collaborate researchers in a wide variety of areas, from agriculture to zoology.

World class faculty and facilities

Oregon State's robust AI program is led by faculty who are actively contributing to groundbreaking advancements in the field. As a student, you'll have the opportunity to collaborate on cutting-edge projects, contributing to the evolution of AI and its applications.

Many faculty members are also part of the Collaborative Robotics and Intelligent Systems Institute. This interdisciplinary group is made up of 25 core faculty researchers and 180 graduate students, with another 40 collaborators across the university who apply robotics and AI in their work. The institute is committed to exploring the impact of robotics and AI on individuals and society.

Coming soon, the Jen-Hsun Huang and Lori Mills Huang Collaborative Innovation Complex will be a dynamic, team-based, transdisciplinary research and teaching facility. The complex will harness one of the nation’s most powerful supercomputers to advance research and learning in artificial intelligence, robotics, and materials science to solve global challenges in critical areas such as climate science, oceanography, sustainability, and water resources.

AI Faculty AI Seminars AI Newsletter


Graduate Information


The graduate program in artificial intelligence offers Ph.D., M.S., and MEng degrees and graduate minors in AI. The graduate program is supported by research faculty members in the schools of Electrical Engineering and Computer Science and Mechanical, Industrial, and Manufacuring Engineering who work in all core areas of AI including machine learning, knowledge representation, reasoning under uncertainty, sequential decision making, natural language processing, computer vision, and robotics.

The AI program is interdisciplinary and trains Ph.D. and master's degree students in the core topics of AI and offers a large set of electives that gives them opportunities to specialize in different sub-areas and applications of AI. The program is open to students from any undergraduate discipline with appropriate mathematical and programming background and accommodates flexible curricular paths. The types of different degrees offered are described below.

The Ph.D. degrees are aimed to students who will be taking faculty positions in academia, research positions in industry and government labs, and entrepreneurship for leading start-up companies.

M.S. (Thesis option)
This is most appropriate for research-oriented students aiming to get a research position in the industry or move on to a Ph.D. at a later time.

M.S. (Project option)
The industry-oriented students will do a significant software project under the guidance of an advisor and get an M.S. degree with project option. This is most appropriate  for students who aim to get a software development job in the AI industry.

Degree Requirements

Refer to the graduate handbook for the courses and credits required to obtain Ph.D., M.S., and MEng degrees.

Graduate Minor
A graduate minor in AI is intended for students in other degree programs to helps them acquire skills to apply AI methods in their discipline. The graduate minor requires 15 credits for Masters students and 18 credits for Ph.D. students including 12 credits from the designated core AI courses in both cases.


M.S. and Ph.D. Admission Requirements - Artificial Intelligence

Note: These requirements are in addition to those listed in the Graduate School's application pages.

All documents must be in PDF format and under 10 MB in size.

In order for your application to be complete, the following information must be submitted in the online application:

  1. Fee: as determined by the Graduate School. EECS does not provide application fee waivers.
  2. Recommendation Letters: You must provide the names and email addresses of three professional references as part of the online application. The references will be emailed instructions on how to submit their letters.
    1. Three letters of professional reference are required from former professors or employers familiar with the applicant's technical ability. Particularly valuable are letters that assess the applicant's preparation and ability to complete a research project. Applicants with a master's degree should include the major professor as one reference. Letters must be submitted electronically as part of the online application.
  3. Statement of Objectives: Please upload as a PDF to your online application.
    1. Applicants must include a description of their objectives in pursuing an advanced degree. This should be a brief (one page) summary of the applicant's career goals, research interests, and pertinent experience. This information is submitted as part of the OSU online application.
  4. Resume/CV: Please upload a current copy as a PDF to your online application.
  5. Academic History: You must enter the information of your current university/degree/major (if attending) and any past university/degree/major.
    1. Prior Degree: Applicants must have or complete a baccalaureate degree from an accredited college or university before the start of the term. International students must have completed the equivalent of a four-year U.S. baccalaureate degree.
    2. Students can have any undergraduate degree, but are required to be proficient in computer programming and have college level mathematics background in calculus, linear algebra, and probability/statistics.
  6. Grade Point Average (GPA): You must self-report your overall GPA. The School of EECS requires a minimum “B” average (3.00 GPA on a 4.00 scale) on the last two years of undergraduate work and any work completed thereafter.
    1. Effective July 1, 2008 for Fall 2009 admission or later, if the student has completed his or her baccalaureate degree in a country that is a signatory of the Bologna Declaration, then
      1. A baccalaureate degree of at least three years duration with a B average (equivalent 3.00 on a U.S. 4.00 grading scale) in the last two years, plus all subsequent graded course work;
      2. A baccalaureate degree of at least three years duration with a two-year (equivalent to 45-quarter credits) graduate degree.
  7. GRE: GRE scores are not required for admission, but applicants may include GRE scores with their application.
  8. TOEFL/IELTS: Please refer to the language requirements required by the Graduate School.

Official documentation information can be found on the Graduate School’s website.


Applicants are also welcome to make use of the AI Application Support Program, which is organized by current graduate students to advise and help applicants to the AI program.

M.S. and Ph.D. Programs

  • Start: Fall 2025
    Ph.D. application deadline: December 1, 2024
    M.S. application deadline: January 1, 2025
  • Applications are not reviewed until after the application deadline.
  • All applicants are considered for EECS and university scholarships, fellowships, or assistantships.
  • Applicants will be notified of admission decisions by mid-March.
  • If accepted by EECS, the Graduate School will notify the applicant of additional documentation needed for full admission, such as official transcripts, test scores, or financial documentation.
  • Need additional information? Contact

Apply Now

The Accelerated Master’s Platform (AMP) allows students to apply and be pre-accepted into graduate program. AMP students can utilize up to 22 graduate level credits between both undergraduate and graduate degree. This is great opportunity for EECS undergraduates considering applying to a graduate program in Computer Science, Electrical Engineering, or Artificial Intelligence. Learn more about AMP here:

More information

Colin Shea-Blymyer is a doctoral student in computer science and artificial intelligence. He is developing a formal framework of reasoning for autonomous systems that includes social and ethical obligations. Colin is advised by Houssam Abbas, assistant professor of electrical and computer engineering.