The Master of Science program in Computer Science is overseen by the Computer Science Graduate Committee (CSGC). The basic guidelines for approval of a student’s program are recommendations appearing in the Communications of the Association for Computing Machinery (ACM), the professional society in Computer Science.
Prerequisites for Admission
Completion of the following courses, or their equivalents, is prerequisite to entry into the program:
|CSC 120||Computer Programming I||4|
|CSC 220||Computer Programming II||4|
|CSC 314||Computer Organization and Architecture||3|
|CSC 317||Data Structures and Algorithm Analysis||3|
|CSC 427||Theory of Computing||3|
|MTH 161||Calculus I||4|
|MTH 224||Introduction to Probability and Statistics||3|
|MTH 309||Discrete Mathematics I||3|
|Total Credit Hours||27|
Students may be admitted with deficiencies, normally a maximum of 6 credits. These must be completed in addition to the degree requirements.
Students must complete the Graduate School requirements, and the Departmental requirements described here.
|Select either the Thesis Option or the Coursework Option 1||24-30|
|CSC 810||Master's Thesis||6|
24 credits from approved courses, including at least 9 credits from CSC7XX courses.
30 credits from approved courses, including at least 18 credits from CSC7XX courses.
|Total Credit Hours||30-36|
For both options, at least 18 credit hours must be from CSC 6XX and CSC 7XX courses, and may not include more than 6 credit hours from CSC 670.
Each program must include both theoretical and experimental topics. By graduation students will have knowledge in the areas of Programming Languages, Algorithm Design and Analysis, Theory of Computing, Operating Systems, Computer Networks, and Software Engineering. Each program is approved by the CSGC and the Department Chairman or designate. Programs may be individually tailored to meet varied backgrounds and objectives. It is recognized that there are individuals with undergraduate degrees in other fields wishing to pursue graduate work in Computer Science, and individuals with work experience in the field wishing to advance their formal training in Computer Science.