The Fast-Track Bachelors + Masters 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 East Texas A&M University. Students can earn a B.S. and M.S. degree in five years upon completion of degree requirements for both degrees. For this Fast-Track Bachelors + Masters program, 6 credits of graduate coursework can be applied to the undergraduate degree. To be admitted to the Fast-Track Bachelors + Masters 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 Fast-Track Bachelors + Masters 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 II | 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 - 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.
