Artificial Intelligence Graduate Major (MEng, MS, PhD)
This program is available at the following location:
- Corvallis
Artificial Intelligence (AI) is the study of intelligent artifacts and the principles behind their design, construction, and analysis. Oregon State has a long history of excellence in AI since the early days of computer science. The field traces its origin to many disciplines, including philosophy, psychology, mathematics, and engineering. Today, AI is making contributions to all areas of science, engineering and humanities. To encompass this diversity, the AI program offers a direct pathway for well-motivated and computationally oriented students from any discipline to enter the field of AI and start making contributions.
In addition to offering many courses and supporting research in the core topics of AI such as machine learning, knowledge representation, reasoning under uncertainty, sequential decision making, natural language processing, and computer vision and robotics, the program allows great flexibility for students to choose relevant courses from a wide range of other disciplines. It is expected that the students in this program will:
-
Get a rigorous education in AI and its social impact
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Conduct state of the art research in AI
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Develop innovative new techniques and applications of AI
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Publish research in top tier venues
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Work closely with experts in AI and other disciplines where appropriate
The AI program at Oregon State University offers the following degree types:
PhD degree is aimed at students who will be taking research and teaching positions in academia, industry and government, and leading AI companies.
MS degree with a thesis option qualifies students for research and development positions in the AI industry.
MS degree with a project option qualifies students to get software development jobs in industry.
MEng degree is for industry-oriented students with a focus on coursework and a flexible project experience.
Major Code: 3075
Upon successful completion of the program, students will meet the following learning outcomes:
MEng
- Conduct research or produce some other form of creative work.
- Demonstrate mastery of subject material.
- Conduct scholarly or professional activities in an ethical manner.
- Implement and evaluate an AI project.
- Analyze and discuss ethical and social implications of AI.
MS
- Conduct research or produce some other form of creative work.
- Demonstrate mastery of subject material.
- Conduct scholarly or professional activities in an ethical manner.
- Synthesize knowledge and defend claims.
- Conduct research or project work in AI.
- Analyze and discuss ethical and social implications of AI.
PhD
- Produce and defend an original significant contribution to knowledge.
- Demonstrate mastery of subject material.
- Conduct scholarly activities in an ethical manner.
- Synthesize knowledge and defend claims.
- Conduct and publish research in AI.
- Analyze and discuss ethical and social implications of AI.
Master of Engineering (MEng)
Code | Title | Credits |
---|---|---|
Algorithms course | 4 | |
AI 530 | BIG IDEAS IN AI | 3 |
Ethical and social issues course | 3 | |
Core AI courses | minimum 12 | |
Non-core courses approved by committee 1 | minimum 12 | |
Capstone | 3-6 | |
Total Credits 2 | 45 |
Master of Science (MS)
Code | Title | Credits |
---|---|---|
MS thesis or project requirement | 6-9 | |
Thesis (9 research credits) | ||
Project (6 project credits) | ||
Algorithms course | 4 | |
AI 530 | BIG IDEAS IN AI | 3 |
Ethical and social issues course | 3 | |
Core AI courses | minimum 12 | |
Non-core courses approved by committee 1 | minimum 12 | |
Total Credits 2 | 45 |
Doctor of Philosophy (PhD)
Code | Title | Credits |
---|---|---|
Dissertation | minimum 36 | |
Algorithms course | 4 | |
AI 530 | BIG IDEAS IN AI | 3 |
Ethical and social issues course | 3 | |
Core AI courses | minimum 16 | |
Non-core courses approved by committee 1 | minimum 16 | |
Total Credits 2 | 108 |
Core AI Courses
Code | Title | Credits |
---|---|---|
AI 531 | ARTIFICIAL INTELLIGENCE | 4 |
AI 533 | INTELLIGENT AGENTS AND DECISION MAKING | 4 |
AI 534 | MACHINE LEARNING | 4 |
AI 535 | DEEP LEARNING | 4 |
AI 536 | PROBABILISTIC GRAPHICAL MODELS | 4 |
AI 537 | COMPUTER VISION I | 3 |
AI 637 | COMPUTER VISION II | 4 |
PHL 546 | SOCIAL AND ETHICAL ISSUES IN ARTIFICIAL INTELLIGENCE (satisfies ethics requirement) | 3 |
ROB 534 | SEQUENTIAL DECISION MAKING IN ROBOTICS | 4 |
ROB 538 | MULTIAGENT SYSTEMS | 4 |
- 1
Non-core courses must be approved by the program committee based on the student's background and educational and research needs
- 2
500-level versions of slash courses may not be counted towards the degree or placed on the program of study if the 400-level version of the course was previously taken, unless prior approval is granted by the Graduate School.
Major Code: 3075