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With 40 full-time faculty members, 300+ graduate students, and more than 2,000 undergraduates, we provide a world-class research environment spanning not only the core areas of computer science — including computer architecture, system software, networking and distributed computing, data and information systems, the theory of computation, artificial intelligence, and computer graphics — but also highly interdisciplinary programs, such as biomedical informatics, data mining, security and privacy, and ubiquitous computing.
The diverse research interests of our faculty are reflected directly in our educational programs. Computer Science faculty teach most of the undergraduate and graduate courses for the degree programs in both Computer Science and Information & Computer Science. We jointly offer with our colleagues in The Henry Samueli School of Engineering an undergraduate degree in Computer Science and Engineering, as well as the graduate program in Networked Systems. We also have a major in Computer Game Science, jointly offered with the Department of Informatics.
Each student must complete at least 47 units of course work with an average GPA of at least 3.5 for Ph.D. students and 3.0 for M.S. students. In addition, students must receive at least a B in each course counted toward filling these requirements. The set of core and elective courses chosen by a student must be approved by the student’s research advisor before advancement to candidacy. Faculty associated with each research area will provide suggested curricula for that area to guide students in their selection of courses. These curricula will also help Ph.D. students to prepare for their candidacy examination (see below) which must be taken in a specific research area.
Students must complete three quarters of COMPSCI 200S, four core courses, and seven elective courses. The course requirements are as follows:
Students must select four areas from the list of seven areas given below. From each area, they must select at least one of the courses listed for that area.
Data Structures and Algorithms | |
COMPSCI 260 |
Fundamentals of the Design and Analysis of Algorithms |
COMPSCI 261 |
Data Structures |
COMPSCI 263 |
Analysis of Algorithms |
Architecture/Embedded Systems | |
COMPSCI 250A |
Computer Systems Architecture |
COMPSCI 244 |
Introduction to Embedded and Ubiquitous Systems |
System Software | |
COMPSCI 241 |
Advanced Compiler Construction |
COMPSCI 243 |
High-Performance Architectures and Their Compilers |
COMPSCI 230 |
Distributed Computer Systems |
Artificial Intelligence | |
COMPSCI 271 |
Introduction to Artificial Intelligence |
COMPSCI 273A |
Machine Learning |
Networks/Multimedia | |
COMPSCI 232 |
Computer and Communication Networks |
COMPSCI 203 |
Network and Distributed Systems Security |
COMPSCI 212 |
Multimedia Systems and Applications |
Database Systems | |
COMPSCI 222 |
Principles of Data Management |
COMPSCI 223 |
Transaction Processing and Distributed Data Management |
Scientific and Visual Computing | |
COMPSCI 206 |
Principles of Scientific Computing |
COMPSCI 211A |
Visual Computing |
Seven elective courses from any set of CS, Informatics, or Statistics courses, including the above core courses, but excluding COMPSCI 290, COMPSCI 298, COMPSCI 299, or any course with a suffix of “S.”
Two of these courses can be graduate courses offered by a department outside of ICS, with written consent of the advisor (M.S. students must obtain written consent from the Computer Science Vice Chair for Graduate Studies).
Two of the courses can be undergraduate courses from the following list:
COMPSCI 111 | Digital Image Processing |
COMPSCI 112 | Computer Graphics |
COMPSCI 122A | Introduction to Data Management |
COMPSCI 132 | Computer Networks |
COMPSCI 142A | Compilers and Interpreters |
COMPSCI 143A | Principles of Operating Systems |
COMPSCI 152 | Computer Systems Architecture |
COMPSCI 161 | Design and Analysis of Algorithms |
COMPSCI 171 | Introduction to Artificial Intelligence |
COMPSCI 178 | Machine Learning and Data-Mining |
I&C SCI 161 | Game Engine Lab |
I&C SCI 162 | Modeling and World Building |
I&C SCI 163 | Mobile and Ubiquitous Games |
I&C SCI 166 | Game Design |
Students may not retake courses they have used toward an undergraduate degree and receive credit toward the graduate requirements.
No more than two undergraduate courses or COMPSCI 295 may be taken to satisfy elective course requirements.
Ph.D. students are required to serve as teaching assistants for at least two quarters.
Research Project for the Ph.D. Degree
Doctoral students must find a faculty advisor and successfully complete a research project with that faculty member by the end of their second year. In coordination with this project the student must also take at least one independent studies course (COMPSCI 299) with their faculty advisor. The objective of the research project is to demonstrate early in the program the student’s ability to carry out basic research in computer science.
Finally, the student must present the outcome of the research in a technical report, which must be approved by the advisor. The project may or may not be a stepping-stone toward a dissertation, and must be completed by the end of the second year, and prior to advancement to candidacy.
Advancement to Candidacy Examination
The objective of the candidacy examination is to demonstrate in-depth knowledge of an area of computer science and readiness to carry out independent research at the doctoral level in that area. The student must complete all pre-candidacy course requirements and the research project prior to advancing to candidacy. All requirements for candidacy including the candidacy examination must be completed by the end of the third year (or, for students entering the program with an M.S. in Computer Science, by the end of the second year). If the student does not pass on the first trial, the student will be allowed until the end of the first quarter of the fourth year to advance to candidacy. Consult the ICS Graduate Office for policies regarding committee membership. The format is an oral examination during which the student is tested on knowledge relevant to the chosen area of specialization. Each area is defined by a set of topics and reading list, which are maintained by the Computer Science Department office. New areas or changes to existing areas must be approved by a majority vote of the CS faculty in accordance with the Department’s bylaws. The current areas include the following: Algorithms and Data Structures; Computer Architecture and Embedded Systems; Database Systems and Multimedia; Computer Networks; Distributed Systems; Artificial Intelligence and Machine Learning; Informatics in Biology and Medicine; Computer Graphics and Visual Computing; Cryptography and Computer Security; Computational Neuroscience; Scientific Computing; Systems Software.
The examination is graded pass or fail. In order to pass, the Candidacy Committee must unanimously approve the final outcome. In the case of a fail, the examination may be retaken once. Students who fail on the second try will be recommended for disqualification from the doctoral program.
Doctoral Dissertation Topic Defense
The student must produce a substantial written document representing the dissertation plan. This must include the proposed dissertation abstract, a dissertation outline, and a detailed plan for completing the work. A dissertation defense committee is formed in accordance with UCI Senate regulations. The dissertation committee must unanimously approve the student’s proposal. At the discretion of the student’s advisor, the student may be required to give an oral presentation of the proposed plan to the committee. This must be completed by the end of the fourth year. It is expected that this will be done at least a year prior to the final examination and before most of the dissertation research and writing are undertaken. The idea is for students to demonstrate that they have a clear plan for carrying out the research for their dissertation. It also gives the student an understanding of what will be expected for final approval of the dissertation.
Doctoral Dissertation and Final Examination
Ph.D. students are required to complete a Ph.D. dissertation in accordance with Academic Senate regulations. In addition, they must pass an oral dissertation defense which consists of a public seminar presenting results followed by a private examination by the doctoral committee and other interested members of the Computer Science Department faculty.
Students entering the Ph.D. program with an M.S. in Computer Science must advance to candidacy within two years. All others must advance within three years. The normative time for completion of the Ph.D. is five years, and the maximum time permitted is seven years.
Requirements
GRE and TOEFL Scores
Arrange to have your official test scores sent from the testing agency to UC Irvine. Photocopies or scans will not be accepted.
GRE
- The General GRE is required of ALL applicants.
- For official GRE General test scores, use Institutional code: 4859
- There is no minimum GRE score.
- GRE scores are good for five years, after which time the exam must be retaken.
- We cannot accept GMAT scores in lieu of GRE scores.
TOEFL
- The TOEFL (Test of English as a Foreign Language) is required of international applicants.
- For official TOEFL test scores, use Institutional code: 4859
- The minimum TOEFL score is 80. For more information, please see Graduate Division's English Proficiency site.
- UCI will only waive the TOEFL requirement for applicants who have completed ALL requirements for a B.S., M.S. or Ph.D. degree in the U.S. prior to submitting their application.
» Letters of Recommendation
Three letters of recommendation are required, but you may submit as many letters as you wish.
For paper submission
Provide the Letter of Recommendation and Waiver of Access forms to at least three people you have identified who can evaluate your academic and/or professional achievements, describe your strengths and weaknesses and comment on your character, integrity and motivation. Your recommenders should mail his/her letter directly to:
ICS Graduate Office
Donald Bren School of Information and Computer Sciences
352 Information & Computer Science Bldg.
University of California, Irvine
Irvine, CA 92697-3430
For online submission
Applicants who have completed and submitted their online application should send their recommenders a link to that page, along with their application ID number.
» Personal Statement
The Personal Statement (same as Statement of Purpose) should be submitted via the online application.
» Official Transcripts
Arrange to have one copy of your official transcripts from the colleges you attended sent directly to the ICS Graduate Office.
An official English translation is required from international students.
Photocopies, scans, or unofficial copies of transcripts will not be accepted.
Want to improve your English level for admission?
Prepare for the program requirements with English Online by the British Council.
- ✔️ Flexible study schedule
- ✔️ Experienced teachers
- ✔️ Certificate upon completion
📘 Recommended for students with an IELTS level of 6.0 or below.
Scholarships
- Fellowships or Grants
- Teaching or Research Assistantships
- Need-based Financial Aid
- Personal Resources