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 Science and Engineering. 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 graduate application for the Graduate School,
- An application fee,
- At least two letters of recommendation,
- Personal statement or resume,
- 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).
- 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|
|CSE Electives 4||9|
|Select one of the following:||6|
|Master of Science Thesis in Computer Science 5|
CSE 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 CSE.
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 CSE 690 Master of Science Thesis in Computer Science.
|CSE 504||Automata Theory||3|
|CSE 619||Design and Analysis of Computer Algorithms||3|
|CSE 516||Fundamentals of Computer Communications and Networks||3|
|CSE 535||Database Systems||3|
|CSE 545||Artificial Intelligence||3|
|CSE 550||Software Engineering||3|
|CSE 625||Parallel Programming||3|
|CSE 629||Distributed System Design||3|
|CSE 630||Advanced Databases||3|
|CSE 640||Internet Application Design and Development||3|
|CSE 522||Performance Evaluation of Computer Systems||3|
|CSE/IE 563||Experimental Design in Engineering||3|
|CSE 620||Combinatorial Optimization and Modern Heuristics||3|
|CSE 622||Simulation and Modeling of Discrete Systems||3|
|CSE 627||Digital Image Processing||3|
|CSE 632||Data Mining||3|
|CSE 635||Data Mining with Linear Models||3|