The Department of Computer Science and Engineering offers a program of graduate study leading to the Doctor of Philosophy degree in Computer Science and Engineering. The Ph.D. degree is awarded for demonstrated, scholarly excellence in study and research that provides a significant contribution to the fields of Computer Science or Computer Engineering. The program requires a concentration of study and research in specific areas of Computer Science and Engineering. Programmatic strength lies in the unique blend of faculty expertise, in the combination of theory with software and hardware design, and in the laboratory facilities available to the program. Most courses are offered in the late afternoon to allow practicing computer professionals to begin the program on a part-time basis. A student may be admitted to the Ph.D. Program in Computer Science and Engineering with a baccalaureate degree or a Master’s degree in Computer Science, Computer Engineering, or related areas and appropriate experience; satisfaction of the admission requirements as set forth by the Graduate School; and a record that indicates potential for a career in Computer Science and Engineering research. A student should come to the program with knowledge of high-level programming languages, data structures, real-time programming, computer organization, formal languages, operating systems and computer systems design; however, it may be possible to make up minor deficiencies after admission to the program by taking appropriate courses.
- Baccalaureate or master’s degree from an accredited institution in computer science, computer engineering, or related discipline with a grade point average of 3.3.
- Students must receive a score of at least 1150 (old scale) or 305 (new scale) on the Graduate Record Examination (GRE) general test portion and a minimum TOEFL score of 79-80 (Internet-based) or 550 (paper-based).
- GRE general test scores are required.
- Bachelor’s or Master’s in computer science, computer engineering or another science or engineering field
- Knowledge of computer organization, operating systems,data structures and either digital design or formal languages
- Minimum GPA of 3.0 if admitted with a Bachelor’s degree or a minimum GPA of 3.3 if admitted with a Master’s degree.
A wide range of computing systems interconnected via the campus-wide network support all the degree programs in the department. A variety of high-end and special-purpose systems are available for research through the Ohio Supercomputer Center. University and college systems include a variety of servers and workstations running current operating systems including Linux, Mac OS, and Windows. Department facilities provide specialized systems and support equipment tailored to specific curriculum and research areas. These include a Linux-based Operating Systems and Internet Security lab, an Immersive Visualization and Animation Theater lab, and a variety of workstations and personal computers providing software tools for project design and development. The program also has access to one of the most advanced visualization and presentation environments in the nation, the Appenzeller Visualization Laboratory, located in the Joshi Research Center. The Department has laboratories dedicated research in assistive technologies, RFID, vision interfaces and systems, medical image analysis, parallel and distributed computing, evolvable hardware, database systems, data mining, mobile information and communications, software engineering, artificial intelligence, adaptive vision, advanced computer networking, semantic web services oriented computing, scientific workflows, business process management, bioinformatics, and cyber security.
For additional information:
If admitted with an undergraduate degree: 90 Hours
Graduate credit hours in CS/CEG must satisfy the following minimums: 90 total, 69 at 7000/8000 level, and 36 in formal coursework
If admitted with a graduate degree: 60 Hours
Graduate credit hours in CS/CEG must satisfy the following minimums: 60 total, 51 at 7000/8000 level, and 18 in formal coursework
Completion of core requirements of one of the disciplines
Systems and Applications Area
CEG: one course each from
Systems and Applications Area
Completion of the core coursework with As in two areas and at least a B in the third satisfies the qualifying requirement. Students may repeat the final examination in each core course once to satisfy this requirement
Minimum 18 hours of residency research after passing the qualifying exam and before attempting the candidacy exam
Completion of candidacy examination with satisfactory grade.
Minimum 12 hours of dissertation research after passing the candidacy examination and before attempting the dissertation defense
Submission of an approved dissertation.
Minimum of 1 journal paper or 2 conference papers accepted for publication by time of graduation.
GPA 3.0 or higher in CS/CEG courses
Completion of all degree requirements in 10 years
Total Credits if entering with a BS degree: 90 Hours
Total Credits if entering with an MS degree: 60 Hours
Research/Areas of Expertise:
A steadily increasing number of funded research projects support modern graduate research in such areas as medical image analysis, multimedia systems and applications, biometrics, assistive technologies, soft computing and evolvable hardware, intelligent agents and robotics, data mining and databases, bioinformatics, machine vision, visualization, networking and mobile computing, wireless and internet security, RFID applications, the semantic web, cyber security, and services science.
Recent and current sources of research support include federal agencies, defense agencies, and local industries. Research at Wright State University is not limited to on-campus laboratory facilities. Several industrial laboratories, Wright-Patterson Air Force Base laboratories, and the Major Shared Resource Center at Wright-Patterson Air Force Base are involved in joint research efforts with the university. In addition, the new Joshi Research Center and daytaOhio are focal points for new technologies that advance data management solutions and data management innovation.