Master's in Computer Science
|Major Code: 8071||Degree Awarded: Master of Science|
|Age Restriction: N||Admission Status: graduate, main campus, Extended Studies|
|Delivery Mode/s: classroom only||Location/s: main campus, Orlando, Patuxent, Spaceport|
|Admission Materials: transcript, GRE|
This program offers a student the opportunity to pursue advanced studies in various areas of computer science. The program is designed for students with bachelor's degrees in computer science and provides a solid preparation for those who may pursue a doctorate. Master's students are encouraged to concentrate their studies in research areas of interest to faculty in the department.
Applicants must have taken courses in differential and integral calculus, discrete mathematics, statistics and data structures and algorithms, as well as at least 12 semester credit hours of advanced coursework in undergraduate computer science. Admission may be granted with the stipulation that deficiencies are made up by taking the necessary extra courses. GRE scores (General Test only) are required. Students with English language deficiencies are only permitted to enroll in a restricted set of academic courses.
The Master of Science in Computer Science requires a minimum of 30 credit hours of approved graduate study. Students are encouraged to complete and successfully defend a thesis. Students who decide not to write a thesis must pass a final program examination.
MTH 5051 Applied Discrete MathematicsCredit Hours: 3Logic fundamentals, induction, recursion, combinatorial mathematics, discrete probability, graph theory fundamentals, trees, connectivity and traversability. Applications from several fields of science and engineering, including computer science, operations research, and computer and electrical engineering.
- Core Courses Credit Hours: 9
- Elective Courses Credit Hours: 9
- Advanced Elective Courses Credit Hours: 3
CSE 5500 Computer Science SeminarCredit Hours: 0Presentations by faculty, graduate students and guest speakers on topics of current interest.
CSE 5501 Computer Sciences InternshipCredit Hours: 0Industry-based internship experience under the supervision of a graduate faculty member, to provide professional experience for graduate students without prior experience in a practical information technology setting.Requirement(s):At least nine graduate credit hours in computer sciences completed with at least a 3.0 GPA, and instructor approval
CSE 5999 ThesisCredit Hours: 3Research and preparation of a thesis under the direction of a member of the graduate faculty.Requirement(s):A maximum of six credit hours may be applied toward the master of science degree requirements. Thesis supervisor approval
- Advanced Elective courses Credit Hours: 6
*Pass twice in any combination.
CSE 5210 Formal Languages and Automata TheoryCredit Hours: 3Presents abstract models of computers (finite automata, pushdown automata and Turing machines) and the language classes they recognize or generate (regular, context-free and recursively enumerable). Also presents applications in compiler design, algorithms and complexity theory.
CSE 5211 Analysis of AlgorithmsCredit Hours: 3Presents time and space complexity of computer algorithms. Includes algorithm classes, such as divide-and-conquer, greedy, dynamic programming and backtracking; techniques for solving recurrence equations; graph algorithms; searching and sorting; and deterministic and nondeterministic polynomial time problem classes.
CSE 5231 Computer NetworksCredit Hours: 3Introduces network design, protocol, function layering, networking architectures (TCP/IP, frame relay, ATM) and components (hubs, routers, switches), analytical issues (throughput, delay, bandwidth management, congestion and error control, sliding windows, retransmission strategies, contention resolution) and network traffic analysis methodologies.
CSE 5251 Compiler Theory and DesignCredit Hours: 3Covers extensively the major topics of compiler design. Includes lexical analysis, scanner-generator tools, parsing, syntax-directed translation, static semantic checking, storage organizations, code generation and code optimization.
CSE 5290 Artificial IntelligenceCredit Hours: 3Introduces the theoretical foundations of artificial intelligence, focusing on the areas of automated reasoning, search and heuristics. Introduces an AI language to implement concepts.
Elective courses are computer science or software engineering courses (CSE or SWE) numbered 5000 or above. Advanced elective courses are computer science (CSE) numbered 5600 or above and pre-approved SWE courses. All students must successfully complete at least 24 semester credit hours in computer science (CSE) or software engineering (SWE) courses.
The department excels in several specializations of computer science (computer security, computational intelligence, software testing). Students are encouraged to concentrate in a specialization by careful selection of elective courses.