Computer Science, MS
Purpose and Goals
The Master’s degree programs prepare graduate students for positions in industry and research. Master’s degree graduates are also provided with a foundation for continuing their study at the doctoral level in Computer Science or Computer Information Systems.
The major objectives of the programs are to:
- Address the critical shortage of professionals in Computer Science and Information Technology in Texas and the nation;
- Provide an avenue for computer professionals in the industry to upgrade their professional skills; and
- Prepare graduates to pursue a terminal degree in Computer Science and Computer Information Systems.
A student with a bachelor’s degree in a discipline other than computer science must possess a computer science background equivalent to the following PVAMU courses before being admitted to:
MS in Computer Science Program:
| COMP 2336 | Data Structures | 3 |
| COMP 2310 | Discrete Structures | 3 |
| COMP 2319 | Computer Organization | 3 |
| MATH 2414 | Calculus with Analytic Geometry II | 4 |
| COMP 3305 | Analysis of Algorithms | 3 |
The Two-C Rule
A maximum of two “C” grades in graduate courses (or six SCH) will be accepted toward the graduate degree.
Master of Science in Computer Science Degree Program Requirements
| Computer Science Core Requirements | ||
| COMP 5300 | Research Methods and Graduate Seminar | 3 |
| COMP 5311 | Fundamentals and Concepts of Programming Languages | 3 |
| COMP 5312 | Advanced Computer Architecture | 3 |
| COMP 5313 | Advanced Operating Systems | 3 |
| COMP 5314 | Advanced Database Management System | 3 |
| COMP 5315 | Design and Analysis of Algorithms | 3 |
| COMP 5342 | Software Engineering Processes | 3 |
| Concentration (Select one from below): | 15 | |
| Thesis Concentration: | ||
| Masters Thesis | ||
Three Electives (Select 9 hours from the approved Computer Science Electives) | ||
| Non-Thesis Concentration: | ||
| Masters Project | ||
Four Electives (Select 12 hours from the approved Computer Science Electives) | ||
| Total Hours | 36 | |
General Computer Science Electives
| COMP 5316 | Artificial Intelligence | 3 |
| COMP 5317 | Computer Vision | 3 |
| COMP 5324 | Distributed Computing and Parallel Processing | 3 |
| COMP 5326 | Machine Learning (Newly approved new course (Machine Learning)) | 3 |
| COMP 5327 | Data Mining | 3 |
| COMP 5328 | Natural Language Processing | 3 |
| COMP 5329 | Text Mining | 3 |
| COMP 5332 | Computer and Network Security | 3 |
| COMP 5389 | Applied Research | 3 |