Oregon State University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: Oregon State’s AI graduate materials describe pathways for computationally prepared students from varied undergraduate backgrounds; minimum GPA and prerequisite expectations are defined on the current graduate admissions page for the AI major. Verify reference letters, objectives statement, and any test requirements each cycle.

About This Program

Oregon State’s graduate major in Artificial Intelligence offers MS, MEng, and PhD pathways. The MS includes thesis and project options aimed respectively at research-intensive industry R&D and software development careers, with coursework spanning machine learning, knowledge representation, uncertainty, NLP, vision, robotics, and ethics.

Career Outcomes

Earn an MS focused on AI foundations with thesis or project tracks framed for research-heavy or industry software roles.

• 1. Machine Learning Engineer
• 2. Applied AI Researcher
• 3. AI Software Engineer
• 4. Robotics / Intelligent Systems Developer

What You'll Learn

• Complete graduate-level coursework in ML, deep learning, reasoning, and perception-oriented AI topics.
• Satisfy a thesis or capstone-style project requirement depending on the chosen MS option.
• Integrate ethics coursework on social implications of AI systems.
• Customize non-core electives with committee approval to align with interdisciplinary research goals.

Curriculum Highlights

Per Oregon State’s graduate catalog (Artificial Intelligence graduate major, MS), the degree is structured around 45 credits: an algorithms course (4 credits), AI 530 Big Ideas in AI (3), an ethics and social issues course (3), at least 12 credits of core AI coursework, at least 12 credits of committee-approved non-core courses, and a 6–9 credit thesis or project component (thesis option emphasizes R&D-oriented roles; project option emphasizes applied software development). Core AI electives include graduate courses in agents and reasoning, machine learning, deep learning, graphical models, computer vision, and related robotics/sequential-decision topics.

Top Employers

Graduates typically pursue roles across technology, autonomous systems, and research-heavy product groups; confirm placement statistics through Oregon State’s official career outcomes reporting.

Admissions

Oregon State’s AI graduate materials describe pathways for computationally prepared students from varied undergraduate backgrounds; minimum GPA and prerequisite expectations are defined on the current graduate admissions page for the AI major. Verify reference letters, objectives statement, and any test requirements each cycle.

Application Materials

• Statement of objectives: Required (see AI graduate admissions page)
• Letters of recommendation: Typically three professional/academic references—confirm count annually
• Resume / CV: Required
• Transcripts: Official transcripts required
• English proficiency: International applicants per Graduate School policy

Academic Requirements

• Degree Required: Bachelor's from an accredited institution (field flexibility documented by program)
• GRE/GMAT: Confirm current policy on the department admissions page
• TOEFL/IELTS or accepted alternatives: For international applicants per OSU Graduate School