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Master of Science in Computer Science

Further Information...

Course Information

Program of Study

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 include the unique blend of faculty expertise, the well equipped laboratory facilities, and the balance of theory, practice, hardware, and software. Degree requirements concentrate in the areas of theory and applications of computing. Courses for the program are offered in the late afternoon and evening hours to serve the educational needs of practicing computer professionals.

DEGREE REQUIREMENTS

Students choose between the thesis and the non-thesis programs of study. Both options require a total of forty-eight (48) graduate credit hours in computer science and computer engineering (CS/CEG). The former option requires satisfactory completion of a master's thesis. The latter option requires that a larger number of the required credit hours be earned through formal coursework (as opposed to seminars, independent study, and thesis research, for example). The specific requirements for the two options are as follows.

The thesis option requires satisfactory completion of a master's thesis within a program of study consisting of 48 graduate credit hours in CS/CEG courses, including:

  • At least twenty (20) hours of formal CS/CEG coursework at the 700/800 level, including the Computer Science Core (listed below), and
  • No more than twelve (12) hours total of independent study and thesis work.

The non-thesis option requires a program of study consisting of 48 graduate credit hours in CS/CEG courses, including:

  • At least thirty-two (32) hours of formal CS/CEG coursework at the 700/800 level, including the Computer Science Core (listed below), and
  • No more than four (4) hours of independent study work.

Courses
All CS and CEG graduate courses listed in the catalog may be used to satisfy the 48 credit hour requirement, with the exception of CS 600 Data Structures and Algorithms and CEG 633 Operating Systems. 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.

A formal course is one that meets on a regularly scheduled basis throughout the term as specified in the quarterly university bulletin.

The Computer Science Core consists of the following courses:

  • CS 701 Database Systems and Design
  • CS 740 Computational Complexity
  • CS 784 Programming Languages
  • CEG 730 Distributed Computing Principles

Time Limit:
Students must complete all the requirements for a master's 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 nine (9) or more credit hours of grades C, D, F, X, or U in CS/CEG graduate courses will be recommended immediately 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 program in Computer Science are shown below. Students may be admitted conditionally while making up minor deficiencies.

1. A bachelor's degree in Computer Science (or related area and appropriate experience) from a regionally accredited academic institution, 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. Computer Science and Computer Engineering prerequisites: courses covering computer programming, data structures, theory of computation, digital circuits, computer organization, and operating systems. The material covered in these courses should be equivalent to, respectively, CS 240-242, CS 600, CS 610 or CS 666, CEG 260, CEG 520, and CEG 633 at Wright State University.

3. Mathematics and science prerequisites: introduction to calculus, linear or matrix algebra, discrete mathematics, probability, statistics, and a one year science sequence.

4. The Graduate Record Examination (GRE) General Test. A minimum combined score of at least 1050 on the verbal and quantitative sections is expected.

NOTE: The GRE will be waived in the following cases:

  • 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 a United States institution.

However, the GRE is highly recommended for applicants who are or will be applying for graduate assistantships.

TRANSFER CREDIT

A maximum of twelve (12) graduate credit hours may be transferred after admission to the 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.

Thesis research may be related to one of the on-going research projects or to other topics of mutual interest to the student and a faculty member.

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.

More information can be found on the Research page.

FOR ADDITIONAL INFORMATION, CONTACT:

Department of Computer Science and Engineering
303 Russ Engineering Center
Wright State University
Dayton, OH 45435
(937) 775-5131

Descriptions of the Master of Science degree in Computer Science program, courses, and application materials are available on the School of Graduate Studies web site at http://www.wright.edu/sogs/.

cse-dept@wright.edu    3640 Colonel Glenn Highway - Dayton, Ohio - 45435   (937) 775-5131
Wright State University