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  1. For CS PhD candidates who are required to complete 24 units, the courses must satisfy all of the following three conditions: At least 12 units must be at level 6000, and at least another 8 units must be at level 5000 or above. Only a maximum of 4 units level 4000 is allowed. At least 16 units must be offered by the CS department.

  2. Academics. The Allen School offers a premier educational experience to undergraduate students, graduate students, and multidisciplinary students in computer science and engineering fundamentals, problem solving and innovation. We also offer lifelong educational renewal opportunities for employed professionals as well as a robust postdoctoral ...

  3. Students in this track will have a multidisciplinary experience, taking courses across departments and interacting with faculty and graduate students from these departments. A similar PhD track is being offered in Computer Science and Engineering (CSE), and students from both of these tracks will interact significantly in the core courses.

  4. Graduate School Rankings. # 27. in Best Business Schools (tie) in Accounting. in Business Analytics. in Entrepreneurship. # 10. in Information Systems (tie) in Supply Chain / Logistics.

  5. Students can choose to pursue a PhD in Computer Science or a PhD in Computer Engineering. The requirements vary for each degree. Here are the core requirements: Complete 72 units of regular — including graded — courses (at least 33 units, of which 9 must fulfill breadth requirements), seminars (at least 3 units), and research credits (at ...

  6. The program of study should consist of approximately 35 credits of graded course work plus 30 or more research credits (Cpt S 800). A maximum of 6 credits of Directed Study (CptS 595) may be included. A maximum of 9 credits of 400 level graded course work approved by the EECS GSC may be included. In general, undergraduate courses REQUIRED for ...

  7. Research Area: Computing Education Dissertation Topic: Deconstructing Cultural Norms in Computer Science Employment Preference: Academia - Tenure Track Faculty, Academia - Teaching Faculty. Aditya Kusupati. Website Advisor(s): Ali Farhadi, Sham Kakade Research Area: Large-scale Machine Learning Dissertation Topic: Indexing the World