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 the undergraduate degree. To be admitted to the BS/MS Accelerated program in Computer Science, the candidate must be a Computer Science major with an overall Undergraduate GPA of 3.25. Students must apply for the accelerated program during the semester they will earn 90 semester hours or more towards their bachelors program. Once admitted, the BS/MS candidate must maintain a 3.25 Undergraduate GPA.
| Core Curriculum Courses | ||
| See the Core Curriculum Requirements | 42 | |
| Required courses in the major | ||
| COSC 1436 | Introduction to Computer Science and Programming | 4 |
| COSC 1437 | Programming Fundamentals II | 4 |
| COSC 2325 | Introduction to Machine Language and Digital Logic | 3 |
| COSC 2336 | Data Structures and Algorithms | 3 |
| CSCI 303 | Technical Communication for Computing Professionals | 3 |
| CSCI 340 | Database | 3 |
| CSCI 359 | Systems Analysis & Design | 3 |
| CSCI 380 | Web Programming and Interface Design | 3 |
| CSCI 415 | Ethics, Law & Cybersecurity | 3 |
| CSCI 428 | Object Oriented Design | 3 |
| CSCI 430 | Operating Systems | 3 |
| CSCI 434 | Computer Networks | 3 |
| CSCI 440 | App Software Project Dev | 3 |
| CSCI 450 | Computer Architecture | 3 |
| plus 18 semester hours of advanced CSCI courses | 18 | |
| Required support courses | ||
| MATH 2318 | Linear Algebra | 3 |
| Calculus I * | ||
| Calculus II * | ||
| MATH 2305 | Discrete Mathematics | 3 |
| MATH 403 | Mathematical Statistics | 3 |
| University Physics I * | ||
or PHYS 2426 | University Physics II | |
| Graduate Core Courses | ||
| CSCI 520A | Data Structures and Algorithm Analysis | 4 |
| CSCI 532A | Algorithm Design | 3 |
| Total Hours | 120 | |
This course should be used to satisfy the Core Curriculum Requirements.
A grade of “C” or higher must be earned in all courses in this Major with the exception of the Support Course a grade of “D” is acceptable.
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 | ||
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. | ||
| Total Hours | 37 | |
Courses shared with BS
Note: Successful completion of the Comprehensive Exam is required of all students.
