Computer Science (MS)
This program can be completed in a traditional classroom format or entirely online.
The MS degree program is intended for persons having an accredited baccalaureate degree in computer engineering or computer science, but is available to those with other backgrounds. Applicants with other backgrounds should plan on taking some undergraduate background coursework. Students interested in the MS degree program should consult the Director of Graduate Studies in the Department of Computer Engineering and Computer Science. The University of Louisville is accredited by the Commission on Colleges of the Southern Association of Colleges and Schools to award master's degrees.
The program of study must be completed with a 3.00 GPA or better for all graduate courses used to satisfy degree requirements. Additionally, the program of study must be completed with a 3.00 GPA or better for all academic work attempted in graduate studies.
The requirements for the Master of Science degree are discussed in more detail in the Degree Requirements section of this catalog.
The admission standards for the Master of Science program in Computer Science are as follows:
- All admission applications for the program shall include:
- A completed application for the Graduate School,
- An application fee,
- Results from the Graduate Record Examination (GRE),
- At least two letters of recommendation, and
- Official transcript(s) for all previous post-secondary coursework. All transcripts not in English must be certified as authentic and translated verbatim into English.
- The minimum requirement for admission is the baccalaureate degree or its equivalent from an accredited institution.
- The successful applicant will typically have an undergraduate grade point average of 2.75 or above (on a 4.00 scale).
- The successful applicant will typically have a GRE combined Verbal and Quantitative Reasoning score of 295 or above.
- International students whose primary language is not English must show English language proficiency by either TOEFL/IELTS score or demonstration of a degree award from an acceptable English language institution. The successful applicant will typically have a total TOEFL score of 80 or higher or overall IELTS score of 6.5 or higher.
Remedial work may be specified for those applicants who, in the opinion of the faculty, do not have a sufficient background.
The minimum curricular requirements for the master's program are:
|MS in Computer Science Coursework|
|Foundations Course (see list below) 1||3|
|Software Courses (see list below) 2||6|
|Analytic Courses (see list below) 3||6|
|CECS Electives 4||9|
|Select one of the following:||6|
|Master of Science Thesis in Computer Science 5|
CECS Elective 4
|Minimum Total Hours||30|
The Master of Science degree must be completed with a 3.00 GPA or better for all graduate courses used to satisfy degree requirements. Additionally, the master of science degree must be completed with a 3.00 GPA or better for all academic work attempted in graduate studies.
One Foundations Course from the list below is required
Two Software Courses from the list below are required
Two Analytic Courses from the list below are required
Electives must be chosen so that at least one-half of the credits counted toward the degree, exclusive of thesis, are 600-level; at least fifteen (15) credit hours of coursework must be in CECS.
For the thesis option, a student is required to select both an approved MS thesis topic and the director and members of the thesis committee during the first term of Graduate Studies. The thesis director must give approval for enrollment in CECS 690.
|CECS 504||Automata Theory||3|
|CECS 619||Design and Analysis of Computer Algorithms||3|
|CECS 516||Fundamentals of Computer Communications and Networks||3|
|CECS 535||Introduction to Databases||3|
|CECS 545||Artificial Intelligence||3|
|CECS 550||Software Engineering||3|
|CECS 625||Parallel Programming||3|
|CECS 629||Distributed System Design||3|
|CECS 630||Advanced Databases||3|
|CECS 640||Internet Application Design and Development||3|
|CECS 506||Modeling and Analysis of Engineering Systems||3|
|CECS 522||Performance Evaluation of Computer Systems||3|
|CECS 563||Experimental Design in Engineering||3|
|CECS 620||Combinatorial Optimization and Modern Heuristics||3|
|CECS 622||Simulation and Modeling of Discrete Systems||3|
|CECS 627||Digital Image Processing||3|
|CECS 632||Data Mining||3|