Doctor of Philosophy Degree

Ph.D. Degree DiagramCoursesResearchTeaching Assistant RequirementExams

The purpose of the Doctor of Philosophy program in computer science is to prepare students for research and teaching positions in universities and colleges, and for research and leadership positions in industry and government. The primary aim of the program is to train students in the methods of scientific inquiry and independent research. This is accomplished through advanced coursework and active participation with the faculty in their research programs. Doctor of Philosophy students are expected to have a broad knowledge of all fields of computer science and have a deep understanding of at least one of its areas. In addition to this requirement, a Doctor of Philosophy student must be up to date in all the developments in his/her major area of specialization. The most important component of the Doctor of Philosophy program is learning to perform independent and significant research in one's area of specialization.

Requirements for the Doctor of Philosophy degree typically are completed in four to five years, depending on whether or not a student enters the program with an M.S. in computer science.

Courses

To ensure sufficient breadth at the graduate level, Ph.D. students must complete at least 8 graduate courses (four by the end of their first year) with a GPA of at least 3.5, and a grade in each course of at least 3.0. An approved study plan must be on file to complete the Ph.D. Their academic advisor and the Graduate Advisor must endorse the set of courses that students plan to take.

The courses are classified into Foundations, Systems and Applications. Students must follow a 2-2-1+3 model: 2 courses must be selected from one category, 2 courses from a second category, and 1 course from the remaining category. The remaining 3 courses are free electives and can be taken from any category or from other courses that do not fall into one of the above categories. The Course Classification list is below.

Students have to file a petition to count a graduate course taken at another university towards the PhD course requirement. A graduate course taken at another university can be counted towards the PhD course requirement if 1) endorsed by the academic advisor, 2) endorsed by a Department of Computer Science Faculty who is teaching a corresponding graduate course and 3) approved by the Graduate Advisor. Students should provide a course syllabus or description to be reviewed and endorsed by the academic advisor and the course owner.

Theory / Foundations Area

Course ID Title
CS 209 Logic and Applications in Computer Science
CS 216 Level Set Methods
CS 220 Theory of Computation and Complexity
CS 225 Information Theory
CS 230 Approximations, NP-Completeness and Algorithms
CS 231 Topics in Combinatorial Algorithms
CS 234 Randomized Algorithms
CS 235 Computational Geometry
CS 260 Advanced Topics in Program Analysis
CS 266 Formal Specification and Verification
CS 267 Automated Verification
CS 290 Special Topics

Systems Area

Course ID Title
CS 254 Advanced Computer Architecture
CS 263 Modern Programming Languages and Their Implementation
CS 270 Advanced Topics in Operating Systems
CS 271 Advanced Topics in Distributed Systems
CS 272 Software Engineering
CS 273 Data and Knowledge Bases
CS 274 Advanced Topics in Database Systems
CS 276 Advanced Topics in Networking
CS 279 Advanced Topics in Computer Security
CS 284 Mobile Computing
CS 290 Special Topics

Applications Area

Course ID Title
CS 211A Matrix Analysis and Computation
CS 211B Numerical Simulation
CS 211C Numerical Solution of Partial Differential Equations--Finite Difference Methods
CS 211D Numerical Solution of Partial Differential Equations--Finite Element Methods
CS 219 Sparse Matrix Algorithms
CS 240A Applied Parallel Computing
CS 265 Advanced Topics in Machine Intelligence
CS 280 Computer Graphics
CS 281B Advanced Topics in Computer Vision
CS 290 Special Topics

Note: the contents of a course may change over time; the course will be reclassified in such cases or students may petition to this effect.

All Ph.D. students must enroll in CS 595N Faculty Research Seminar in the Winter quarter of their first year. In this seminar the Faculty will present their research focus to introduce students to the breadth of research within the department and to help students in identifying potential advisors.

Research

To engage students in research during their first year, 4 units of CS 596 Directed Research is required.

Research is about pushing the limits of our understanding in the field of computer science. This can involve the design and execution of experiments, the proving of new theorems, the solving of open problems, the gathering and analysis of data sets, the invention of novel systems, the creation of new algorithms, the discovery of new applications of computing and/or among many other things. Students must manage their time wisely between research, course work, teaching, and growing their personal networks. It is important to start the process of finding a research adviser early, and to stay engaged with both other students and their Ph.D. committees throughout the process.

After selecting an area of research, a student forms a doctoral committee to supervise dissertation research. The doctoral committee must be chaired by a ladder faculty member from the Department and should include a minimum of 3 UC ladder faculty; 2 (including the chair) must be in Computer Science, although faculty from other UCSB departments may also be members. In special circumstances, non-UCSB faculty may be members.

Teaching

Teaching Assistant Requirement

All Ph.D. students must work as a teaching assistant (TA) for a minimum of one quarter for a Computer Science undergraduate course.

Exams

Ph.D. students must successfully complete three examinations:

  1. Major area examination (qualifying examination)
  2. Thesis proposal
  3. Dissertation defense

Major Area Examination

After the doctoral committee approves a student's proposed major area, a major area examination tests the student's knowledge of this area and any necessary supporting areas. The intent of the MAE is to ensure the student has done a thorough examination of related work in their chosen field, to ensure sufficient background preparation to begin meaningful research; and to help the committee ensure the student’s selected research area has enough opportunity for meaningful contribution. So that the student can be best prepared and the committee can make this determination, the Department strongly recommends that the MAE be completed by the end of the student’s second year of Ph.D. study. As a part of this oral examination, a student submits a set of relevant papers from the major area and prepares a brief presentation. Passing this examination allows this student to advance to candidacy for the doctoral degree.

The MAE must be completed by the end of the third year of study for the student to remain in good academic standing in the department. Further, the MAE cannot be combined with any other oral examination, including the Proposal.

Thesis Proposal

After passing the major area examination, a student prepares a dissertation proposal that describes the dissertation topic, summarizes the relevant background literature, and presents a comprehensive research plan for the doctoral dissertation. The thesis proposal examination determines the feasibility of the research plan and the appropriateness of the research topic. The outcome of the proposal can be viewed as a contract between the student and the committee – the committee and the student should agree on a set of work that, if completed to the satisfaction of the committee, will result in the awarding of the Ph.D. degree to the student.

Dissertation Defense

The Department strongly recommends that the proposal be completed by the end of the student’s fourth year. Further, the Department strongly recommends that the proposal be completed at a minimum of one year before the student’s dissertation defense The final examination is the defense of the candidate's dissertation, which consists of a public seminar and an evaluation by the candidate's doctoral committee on whether the student has successfully defended the dissertation.