A comprehensive exam will be given during the semester in which a student expects to graduate.
Deficiency Requirements: CSCI 515, CSCI 516. Students must have a 'B' or better in these deficiency courses to continue in the Master's program. Undergraduate courses may be substituted with departmental approval. Students with deficiencies in mathematics will be required to complete one or more of the following: MATH 2413, MATH 2414 Calculus II, MATH 401, and MATH 2320 Differential Equations or MATH 2318 Linear Algebra. In addition, ENG 341 Professional Writing (Technical Writing) is strongly recommended for all international students.
Students must have a 'B' average overall and not more than 3 'C's in total. At most one 'C' is allowed for Required Core Courses. At most one 'C' is allowed for courses in student's specialization track.
Note: The Department reserves the right to suspend from the program any student who in the judgment of a duly constituted departmental committee does not meet the professional expectations of the field.
| Thesis (6 semester hours) | ||
| CSCI 518 | Thesis (6 semester hours required) | 6 |
Only 6 semester hours of credit for 518 per degree will be given upon satisfactory completion of the requirement. | ||
| Required Core Courses (16 semester hours) | ||
| CSCI 520 | Data Structures and Algorithm Analysis | 4 |
| CSCI 530 | Operating Systems | 3 |
| CSCI 532 | Algorithm Design | 3 |
| CSCI 549 | Automata Theory | 3 |
| Choose one of the following: (3 semester hours) | ||
| CSCI 525 | Networking I | 3 |
| CSCI 526 | Database Systems | 3 |
| CSCI 556 | Data Analysis & Visualization | 3 |
| Students must complete one of the following tracks: (6 semester hours) | ||
Unused track courses may be taken as electives. | ||
| Software Engineering and Big Data Track (Choose two - 6 semester hours) | ||
| CSCI 524 | Analysis & Design Softwr Sys | 3 |
| CSCI 548 | Software Testing | 3 |
| CSCI 573 | Big Data Computing and Analytics | 3 |
| Computer Networks & Cyber Security Track (Choose two - 6 semester hours) | ||
| CSCI 534 | Networking II - Routers and Switches | 3 |
| CSCI 563 | Information Security | 3 |
| CSCI 554 | Digital Forensics | 3 |
| Artificial Intelligence Track (Choose two - 6 semester hours) | ||
| CSCI 538 | Artificial Intelligence Using Python | 3 |
| CSCI 574 | Machine Learning | 3 |
| CSCI 560 | Neural Networks and Deep Learning | 3 |
| Electives (3 semester hours) | ||
| Any graduate level CSCI courses (except the pre-requisite courses CSCI 515 & CSCI 516) or an appropriate supporting field with approval of the graduate advisor. Requirements for a minor will be determined by evaluating a student's background in computer science. | 3 | |
| Total Hours | 31 | |
| Research (3 semester hours) | ||
| CSCI 595 | Research Literature and Techniques (3 semester hours required) | 3 |
| Required Core Courses (16 semester hours) | ||
| CSCI 520 | Data Structures and Algorithm Analysis | 4 |
| CSCI 530 | Operating Systems | 3 |
| CSCI 532 | Algorithm Design | 3 |
| CSCI 549 | Automata Theory | 3 |
| Choose one of the following: (3 semester hours) | ||
| CSCI 525 | Networking I | 3 |
| CSCI 526 | Database Systems | 3 |
| CSCI 556 | Data Analysis & Visualization | 3 |
| Students must complete one of the following tracks: (6 semester hours) | ||
Unused track courses may be taken as electives. | ||
| Software Engineering and Big Data Track (Choose two - 6 semester hours) | ||
| CSCI 524 | Analysis & Design Softwr Sys | 3 |
| CSCI 548 | Software Testing | 3 |
| CSCI 573 | Big Data Computing and Analytics | 3 |
| Computer Networks & Cyber Security Track(Choose two - 6 semester hours) | ||
| CSCI 534 | Networking II - Routers and Switches | 3 |
| CSCI 563 | Information Security | 3 |
| CSCI 554 | Digital Forensics | 3 |
| Artificial Intelligence Track (Choose two - 6 semester hours) | ||
| CSCI 538 | Artificial Intelligence Using Python | 3 |
| CSCI 574 | Machine Learning | 3 |
| CSCI 560 | Neural Networks and Deep Learning | 3 |
| Electives (12 semester hours) | ||
| Any graduate level CSCI courses except the pre-requisite courses (CSCI 515 & CSCI 516) or an appropriate supporting field with approval of the graduate advisor. Requirements for a minor will be determined by evaluating a student's background in computer science. | 12 | |
| Total Hours | 37 | |
The BS-MS accelerated degree program allows undergraduate students in the Computer Science program to begin coursework towards the non-thesis option of the Master of Science in Computer Science program during their senior year at Texas A&M University-Commerce. Students can earn a B.S. and M.S. degree in five years upon completion of degree requirements for both degrees. For this accelerated program, 6 credits of graduate coursework can be applied to both the BS and MS degrees. Once admitted, the BS/MS candidate must maintain a 3.25 Undergraduate GPA. In the final semester of the student’s undergraduate program, a new online Apply Texas Application for the master’s Accelerated program must be submitted to gain admission and continue taking classes to complete the master’s program.
| Research (3 semester hours) | ||
| CSCI 595 | Research Literature and Techniques | 3 |
| Required Core Courses (16 semester hours) | ||
| CSCI 520A | Data Structures and Algorithm Analysis * | 4 |
| CSCI 530 | Operating Systems | 3 |
| CSCI 532A | Algorithm Design * | 3 |
| CSCI 549 | Automata Theory | 3 |
| Choose one of the following: (3 semester hours) | ||
| AI 500 | Foundations of Artificial Intelligence | 4 |
| AI 510 | Seminar in Artificial Intelligence Ethics | 3 |
| CSCI 556 | Data Analysis & Visualization | 3 |
| Students must complete one of the following tracks: (6 semester hours) | ||
Unused track courses may be taken as electives. | ||
| Software Engineering and Big Data Track (Choose two - 6 semester hours) | ||
| CSCI 524 | Analysis & Design Softwr Sys | 3 |
| CSCI 548 | Software Testing | 3 |
| CSCI 573 | Big Data Computing and Analytics | 3 |
| Computer Networks & Cyber Security Track (Choose two - 6 semester hours) | ||
| CSCI 534 | Networking II - Routers and Switches | 3 |
| CSCI 563 | Information Security | 3 |
| CSCI 554 | Digital Forensics | 3 |
| Artificial Intelligence Track (Choose two - 6 semester hours) | ||
| CSCI 538 | Artificial Intelligence Using Python | 3 |
| CSCI 574 | Machine Learning | 3 |
| CSCI 560 | Neural Networks and Deep Learning | 3 |
| Electives (12 semester hours) | ||
| Any graduate level CSCI courses except the pre-requisite courses (CSCI 515 & CSCI 516) or an appropriate supporting field with approval of the graduate advisor. Requirements for a minor will be determined by evaluating a student's background in computer science. | 12 | |
| Total Hours | 37 | |
Courses shared with BS
Note: Successful completion of the Comprehensive Exam is required of all students.
