This program is available at the following locations:

• Corvallis (MEng, MS, PhD)
• Ecampus (MEng, MS Project)

The master's program provides advanced instruction beyond the undergraduate degree. It prepares students for careers in which a higher level of experience is required. The PhD program prepares students for work in government or industry research laboratories or in academia.

Additional areas of concentration may be arranged with other departments, for example, numerical analysis or computer algebra with the Department of Mathematics.

Major Code: 3070

Upon successful completion of the program, students will be able to:

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.

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.

PhD

• Produce and defend an original significant contribution to knowledge.
• Demonstrate mastery of subject material.
• Conduct scholarly activities in an ethical manner.

Degree Requirements

All students are subject to the following criteria:

• A minimum 3.0 GPA must be achieved over each of the four topic area courses in the Required Core.
• 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 Office of Graduate Education.
• If CS 510 is listed on a student’s Program of Study, the student must address and discuss this experience in their final portfolio or final exam presentation.

MEng

Course List

Code	Title	Credits
Required Core
CS 514	ALGORITHMS: DESIGN, ANALYSIS, AND IMPLEMENTATION	4
Select at least one course from four separate topic areas		12-16
Ethics
BA 550	LEADERSHIP IN ORGANIZATIONS	3
or EMGT 554	PROFESSIONAL RESPONSIBILITY AND ETHICS
Technical Writing
WR 545	TECHNICAL WRITING FOR PROFESSIONAL ENGINEERS 1	3
Electives
Selected by the student and may include up to 6 credits from the following: 2		19-23
CS 501	RESEARCH
CS 505	READING AND CONFERENCE
CS 506	PROJECTS
CS 510	OCCUPATIONAL INTERNSHIP
Total Credits		45

MS Project

Course List

Code	Title	Credits
Required Core
CS 514	ALGORITHMS: DESIGN, ANALYSIS, AND IMPLEMENTATION	4
Select at least one course from four separate topic areas		12-16
Electives
Selected by the student and may include up to 6 credits from the following:		11-20
CS 501	RESEARCH
CS 505	READING AND CONFERENCE
CS 506	PROJECTS
CS 510	OCCUPATIONAL INTERNSHIP
Project Support Courses
A coherent set of three or more courses giving preparation and support for the student’s project 3		3-12
Project
CS 506	PROJECTS	6
Total Credits		45

MS Thesis

Course List

Code	Title	Credits
Required Core
CS 514	ALGORITHMS: DESIGN, ANALYSIS, AND IMPLEMENTATION	4
Select at least one course from four separate topic areas		12-16
Electives
Selected by the student which may include up to 6 credits from the following:		8-17
CS 501	RESEARCH
CS 505	READING AND CONFERENCE
CS 506	PROJECTS
CS 510	OCCUPATIONAL INTERNSHIP
Thesis Support Courses
A coherent set of three or more courses giving preparation and support for the student’s thesis 3		3-12
Thesis
CS 503	COMPUTER SCIENCE MS THESIS	9
Total Credits		45

PhD

Course List

Code	Title	Credits
Required Core
Select at least one course from four separate topic areas		12-16
Theory
CS 515	ALGORITHMS AND DATA STRUCTURES	4
CS 517	THEORY OF COMPUTATION	4
Electives
Selected by the student which may include up to 15 credits from the following:		0-36
CS 501	RESEARCH
CS 505	READING AND CONFERENCE
CS 506	PROJECTS
CS 510	OCCUPATIONAL INTERNSHIP
CS 601	RESEARCH
CS 605	READING AND CONFERENCE
Thesis Support Courses
A coherent set of four or more courses giving preparation and support for the student’s dissertation 3		3-12
Thesis
CS 603	COMPUTER SCIENCE PHD THESIS	36-81
Total Credits		108

¹

Before enrolling in the technical writing course, students are required to complete a total of 30 credits that includes the ethics requirement and topic area courses

²

Students waive the right to count CS 501, CS 505, CS 506 or CS 510 towards their degree when taking the cybersecurity practicum

³

The selection of courses will be made in consultation with, and must be approved by, the student’s major professor and committee. Two breadth courses may also be used as depth courses

Topic Areas

A course may only count for one breadth area on the Program of Study. If a course can belong to more than one breadth area, the committee will decide the assignment of the course to the breadth area.

Course List

Code	Title	Credits
Theoretical Computer Science
CS 514	ALGORITHMS: DESIGN, ANALYSIS, AND IMPLEMENTATION (required for MS and MEng so not eligible as topic area course)	4
CS 515	ALGORITHMS AND DATA STRUCTURES (required for PhD so not eligible as topic area course)	4
CS 517	THEORY OF COMPUTATION (required for PhD so not eligible as topic area course)	4
CS 520	GRAPH THEORY WITH APPLICATIONS TO COMPUTER SCIENCE	3
CS 527	ERROR-CORRECTING CODES	4
CS 529	SELECTED TOPICS IN THEORETICAL COMPUTER SCIENCE	1-5
Artificial Intelligence
AI 530	BIG IDEAS IN AI	3
AI 531	AGENTS, SEARCH AND REASONING	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 539	SELECTED TOPICS IN ARTIFICIAL INTELLIGENCE	5
AI 637	COMPUTER VISION II	4
Computer Systems
CS 570	HIGH PERFORMANCE COMPUTER ARCHITECTURE	4
CS 572	COMPUTER ARCHITECTURE	4
CS 574	OPERATING SYSTEMS II	4
CS 575	INTRODUCTION TO PARALLEL PROGRAMMING	4
CS 576	ADVANCED COMPUTER NETWORKING	4
ECE 573	MICROCONTROLLER SYSTEM DESIGN	4
ECE 574	VLSI SYSTEM DESIGN	4
ECE 577	MULTIMEDIA SYSTEMS	4
Programming Languages
CS 581	PROGRAMMING LANGUAGES I	4
CS 582	PROGRAMMING LANGUAGES II	4
CS 583	ADVANCED FUNCTIONAL PROGRAMMING	4
CS 589	SELECTED TOPICS IN PROGRAMMING LANGUAGES	1-5
Software Engineering
CS 560	DATA-DRIVEN SOFTWARE ENGINEERING	4
CS 561	SOFTWARE ENGINEERING METHODS	4
CS 563	SOFTWARE MAINTENANCE AND EVOLUTION	4
CS 564	FIELD STUDIES IN SE AND HCI	4
CS 567	LABORATORY STUDIES IN SE AND HCI	4
CS 569	SELECTED TOPICS IN SOFTWARE ENGINEERING	1-5
Human Computer Interaction
CS 564	FIELD STUDIES IN SE AND HCI	4
CS 565	HUMAN-COMPUTER INTERACTION	4
CS 567	LABORATORY STUDIES IN SE AND HCI	4
CS 568	INCLUSIVE DESIGN (HCI)	4
ROB 567	HUMAN ROBOT INTERACTION	4
Computer Vision and Graphics
CS 550	INTRODUCTION TO COMPUTER GRAPHICS	4
CS 551	COMPUTER GRAPHICS	4
CS 552	COMPUTER ANIMATION	4
CS 553	SCIENTIFIC VISUALIZATION	4
CS 554	GEOMETRIC MODELING IN COMPUTER GRAPHICS	4
CS 557	COMPUTER GRAPHICS SHADERS	4
CS 559	SELECTED TOPICS IN COMPUTER GRAPHICS AND VISION	1-5
Privacy and Security
CS 577	PRIVACY AND SURVEILLANCE	4
CS 578	CYBER-SECURITY	4
CS 579	TOPICS IN COMPUTER ARCHITECTURE AND PARALLEL PROCESSING	0-5
Data Science and Data Systems
CS 540	DATABASE MANAGEMENT SYSTEMS	4
CS 546	NETWORKS IN COMPUTATIONAL BIOLOGY	3
CS 549	SELECTED TOPICS ON DATA SCIENCE & SYSTEMS	1-5

Prerequisite and Corequisite Coursework

All graduate students in Computer Science must achieve a B grade (or equivalent) in two of the four following courses (or courses deemed equivalent to these courses by the program) and must be taken either prior to or during the student’s graduate studies. Students may meet these requirements by taking equivalent graduate-level courses.

Course List

Code	Title	Credits
CS 271	COMPUTER ARCHITECTURE AND ASSEMBLY LANGUAGE	4
CS 321	INTRODUCTION TO THEORY OF COMPUTATION	3
CS 374	OPERATING SYSTEMS I	4
CS 381	PROGRAMMING LANGUAGE FUNDAMENTALS	4

Major Code: 3070