The Department of Computer Science and Engineering offers a program of graduate study leading to the Master of Science in Computer Science degree. The program balances theory, software, hardware, and practice with coursework-only and thesis options available. 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.
Students are expected to have a bachelor's degree in computer science, computer engineering, or a closely related major from an accredited 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 below.
Courses covering computer programming, data structures, computer organization, and operating systems. The material covered in these courses should be equivalent to, respectively, CS 5160, CS 3100, CEG 3310, and CEG 4350 at Wright State University.
Mathematics and science prerequisites: one year sequences in calculus and calculus-based physics, as well as knowledge of linear or matrix algebra, probability, and statistics.
The Graduate Record Examination (GRE-the general test): a minimum combined score of 298 on the verbal and quantitative exam is expected.
NOTE: The GRE will be waived for students applying for the Master's program in the following cases: a) a person with a Wright State University BS or BA degree from the College of Engineering and Computer Science whose undergraduate GPA is above 3.3, b) a person with a graduate degree in Engineering, Science, or Mathematics from an American institution. The GRE is highly recommended for anyone who is or will be applying for graduate assistantships.
Program Learning Outcomes:
Graduates of the Master's of Science program in Computer Science shall:
- Have the ability to apply abstract reasoning to complex problems in computer science, and
- Have the ability to solve a broad range of problems through the application of current computer science techniques.
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