In addition to meeting the requirements of the university and of the College of Engineering, students must meet the requirements specified below.
Admission
Applicants should be in the top 25 percent of their master's degree classes and should have a grade–point average of at least 3.50 on a scale of 4.0.
Applicants are encouraged to submit their scores on the Graduate Record Examination General Test.
Applicants who have a Bachelor of Science degree and who demonstrate exceptional potential for graduate study may be accepted for admission to the doctoral program.
Additional information is available on the Department's Web site at http://cse.msu.edu.
Requirements for the Doctor of Philosophy Degree in Computer Science
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| 1. |
Students must complete a minimum of 30 credits beyond the research requirements in CSE 999. Students must maintain a cumulative grade-point average of at least 3.00 in all courses counted towards the 30 credits. The student’s guidance committee reserves the right to require additional course work beyond the minimum. Students should contact the graduate director for approval of any courses outside the Department of Computer Science and Engineering. |
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| 2. |
Students may receive credit for 24 credits of course work taken during a prior completed Master of Science degree or equivalent. In the case where the master’s degree was obtained from the Department of Computer Science and Engineering at Michigan State University, the Ph.D. students is only required to complete 24 to 36 credits of CSE 999 Doctoral Dissertation Research. |
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| 3. |
As part of the total credit requirements, students must complete a minimum of 18 credits in courses listed below with at least one course from each breadth area. If a student has completed a Master of Science degree and receives a waiver, then the corresponding breadth area requirement will also be waived. |
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System Design and Analysis |
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CSE |
812 |
Distributed Systems |
3 |
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CSE |
820 |
Advanced Computer Architecture |
3 |
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CSE |
822 |
Parallel Computing |
3 |
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CSE |
824 |
Advanced Computer Networks and Communications |
3 |
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CSE |
825 |
Computer and Network Security |
3 |
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CSE |
834 |
Advanced Topics in Automated Vehicles |
3 |
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CSE |
870 |
Advanced Software Engineering |
3 |
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CSE |
893 |
Selected Topics in System Design and Analysis |
3 |
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Theory and Algorithms |
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CSE |
814 |
Computer Aided Verification |
3 |
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CSE |
830 |
Design and Theory of Algorithms |
3 |
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CSE |
835 |
Algorithmic Graph Theory |
3 |
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CSE |
860 |
Foundations of Computing |
3 |
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CSE |
894 |
Selected Topics in Theory and Algorithms |
3 |
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Data Analysis and Applications |
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CSE |
802 |
Pattern Recognition and Analysis |
3 |
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CSE |
803 |
Computer Vision |
3 |
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CSE |
840 |
Computational Foundations in Artificial Intelligence |
3 |
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CSE |
841 |
Artificial Intelligence |
3 |
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CSE |
842 |
Natural Language Processing |
3 |
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CSE |
845 |
Multidisciplinary Research Methods for the Study of Evolution |
3 |
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CSE |
847 |
Machine Learning |
3 |
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CSE |
848 |
Evolutionary Computing |
3 |
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CSE |
849 |
Deep Learning |
3 |
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CSE |
850 |
Advanced Topics in Adversarial Machine Learning |
3 |
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CSE |
851 |
Genetic Programming |
3 |
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CSE |
881 |
Data Mining |
3 |
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CSE |
895 |
Selected Topics in Data Analysis and Applications |
3 |
| 4. |
Complete a minimum of 24 credits in 800-900 level courses chosen in consultation with the student’s advisor, excluding Computer Science 801, 890, 898, and 899. |
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| 5. |
Pass a qualifying examination consisting of a written and an oral part, generally within two years of beginning the Ph.D. program. |
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| 6. |
Pass the comprehensive examination that includes a program statement presenting the student’s learning and professional background and goals, and provides a rationale for the students declared focus areas. |
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| 7. |
Complete 24 credits of CSE 999 Doctoral Dissertation Research and successfully defend the dissertation. Present the results of the research in a public seminar during the final oral examination. |
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