The Department of Computer Science and Engineering offers a program of
graduate study leading to the Master of Science Degree in Computer
Science. Program strengths lie in the unique blend of faculty
expertise, in the well equipped laboratory facilities, and in the
combination of theory, software and hardware in the curriculum.
Students have a choice of the thesis or non-thesis program of study. The
program is offered in the late afternoon and evening hours to serve the
educational needs of practicing computer professionals.
DEGREE REQUIREMENTS
The program requires forty eight graduate credit hours in computer
science or computer engineering that include the Computer Science Core
and the completion of either the thesis or non-thesis option
requirements.
Computer Science Core
| Distributed Computing Principles: | CEG 730 |
| Programming Languages: | CS 784 |
| Computational Complexity: | CS 740 |
| Database Systems and Design: | CS 701 |
Thesis Option
Completion of forty-eight graduate credit hours in an approved program
of study. The forty eight hours must include the core, and at least
four additional hours of CS/CEG coursework at the 700/800 level (CS 795,
independent Study, cannot be used to meet this requirement).
Satisfactory completion of a Masters thesis with a maximum of twelve
hours of independent study and thesis work counted towards the degree.
Non-Thesis Option
Completion of forty-eight graduate credit hours in an approved program
of study. The forty eight hours must include the core and at least
sixteen additional hours of CS/CEG courses at the 700/800 level. A
maximum of 4 hours of independent study may be counted toward the
degree.
Courses: All CS
and CEG graduate courses listed in the catalog, with the exception of CS
600 and CEG 633, may be used to complete the credit hour requirements.
Other courses may be used to satisfy the requirements only if they are
listed in a program of study that has been approved by the department
prior to enrollment in the course.
Time Limit:
Students must complete all the requirements for a masters degree within
7 years from the date the student matriculated. Courses older than 7
years cannot be used toward degree requirements.
Three "C" Rule:
The department has a "three C rule" for graduate students. A graduate
student who receives 9 or more credit hours of grades C, D, F, X, or U
in computer science or computer engineering graduate courses will be
recommended for dismissal from the program. The rule includes
prerequisite courses taken for graduate study, independent study, and
thesis or dissertation research. Dismissal action will be taken by the
School of Graduate Studies.
ADMISSION
A student may be admitted to the Master of Science in Computer Science
program with a bachelor's degree in computer science, or related areas
and appropriate experience, and satisfaction of the admission
requirements as set forth by the School of Graduate Studies.
Admission Prerequisites
Specific prerequisites for admission to the Master of Science degree
program in computer science are shown below. Students may be admitted
conditionally while making up minor deficiencies.
1. An accredited bachelor's degree with an overall minimum grade
point average of 3.0 for regular graduate status. Students may be
admitted conditionally if they have an undergraduate grade point average
of 2.7 or above and at least a 3.0 grade point average in all courses in
items 2 and 3 below.
2. Mathematic and science prerequisites: calculus, matrix algebra,
discrete mathematics, and a one year science sequence.
3. Computer science and computer engineering prerequisites: courses
covering computer programming, data structures, digital
circuits, computer organization and operating systems. The courses
should be equivalent to CS 240-242, CS 600, CEG 260, CEG 520
and CEG 633 at Wright State.
4. The Graduate Record Examination (GRE)-the general test. A
combined score of at least 1050 on the verbal and quantitative sections
is expected.
NOTE: The GRE will be waived for applicants with a Wright State
University BA or a BS degree from the College of Engineering and
Computer Science whose undergraduate GPA is above 3.3 and for
applicants with a graduate degree in Engineering, Science, or
Mathematics from an American institution. The GRE is highly recommended
for students who are or will be applying for graduate assistantships.
TRANSFER CREDIT
A maximum of twelve graduate credit hours may be transferred after
admission to the computer science degree program by petitioning the
department Graduate Studies Committee.
GRADUATE ASSISTANTSHIPS
Teaching assistantships are available on a competitive basis for
students who have established strong academic credentials and can
demonstrate good communication skills and teaching potential.
Research assistantship availability is dependent upon faculty research
grants and contracts. Candidates are ordinarily chosen based upon
credentials established at Wright State University. Students employed
as teaching or research assistants through the School of Graduate
Studies are required to complete the thesis option.
RESEARCH
Current research projects include database and web applications,
artificial intelligence, machine learning and data mining, evolutionary
computation, bioinformatics, networking and mobile computing, graphics,
image processing, distributed systems, and software engineering.
Sources of research support include federal agencies, military agencies,
and local industries.
Research at Wright State University is not limited to on-campus
laboratory facilities. Several industrial laboratories and Wright
Patterson Air Force Base laboratories are involved in joint research
efforts with the university and have unique facilities that are
available for faculty and graduate research.
Thesis research could be related to one of the on-going research
projects or other topics of mutual interest to the student and a faculty
member.
More information can be found on the Research page.
Descriptions of the Computer Science degree program, courses, and
application materials are available on the School of Graduate Studies
web site at http://www.wright.edu/sogs/.