The data science concentration is available for CS/CIS majors. Data science and analytics contribute to a wide range of scholarly disciplines and commercial endeavors. The courses provide principles and techniques of Descriptive, Predictive, and Prescriptive Analytics.
| Course | Title | Credits |
|---|---|---|
| Jax MIX General Education Curriculum | 41 | |
| Course | Title | Credits |
|---|---|---|
| Prescriptive Courses | ||
| CS 230 | Fundamentals of Computing | 3 |
| CS 231 | Computer Programming I | 3 |
| CS 232 | Computer Programming II | 3 |
| CS 234 | Discrete Computational Structures | 3 |
| CS 304 | Technical Writing for Computer Science (WI) | 3 |
| CS 310 | Software Engineering I | 3 |
| CS 331 | Data Structures and Algorithms | 3 |
| CS 333 | Computer Organization and Architecture | 3 |
| CS 350 | Fundamentals of Computer Operating Systems | 3 |
| CS 450 | Computer Networking | 3 |
| CS 462 | Ethics and Legal Issues (WI) | 3 |
| CS 488 | Database Systems | 3 |
| CS 491 | Software Engineering II | 3 |
| Data Science | ||
| CS 306 | Introduction to Data Science | 3 |
| CS 445 | Predictive Analysis | 3 |
| CS 480 | Special Topics in Data Science | 3 |
| CS 489 | Business Intelligence | 3 |
| MS 444 | Applied Statistical Methods | 3 |
| Courses in the major may not be taken until all prerequisites are completed with a grade of "C" or better. | ||
| In addition to the major courses, support courses required are: | ||
| MS 125 | Calculus I | 4 |
| MS 126 | Calculus II | 4 |
| MS 302 | Applied Probability and Statistics | 3 |
| MS 352 | Linear Algebra | 3 |
Note: This schedule reflects the computer science program beginning with MS 125 Calculus I (4). Freshman computer science majors needing additional preparation before beginning calculus will be placed in the appropriate algebra or precalculus courses that provide this preparation. See advisor.
In addition to courses noted below, candidates for graduation must successfully complete all JSU Academic Regulations. More information about Jax MIX requirements and Alabama Transfers equivalents can be found in their respective section of the catalog.
| Freshman | ||
|---|---|---|
| Fall | Hours | |
| Jax MIX Communication: EH Composition Sequence | 3 | |
| Jax MIX Inquiry: Science Sequence | 4 | |
| CS 201 | Introduction to Information Technology | 3 |
| CS 230 | Fundamentals of Computing | 3 |
| SSC 101 | First Year Experience | 0 |
| Hours | 13 | |
| Spring | ||
| Jax MIX Communication: EH Composition Sequence | 3 | |
| EH 141 | Speech (Jax MIX Communication) | 3 |
| Jax MIX Inquiry: Science Sequence | 4 | |
| CS 231 | Computer Programming I | 3 |
| CS 234 | Discrete Computational Structures | 3 |
| Hours | 16 | |
| Sophomore | ||
| Fall | ||
| Jax MIX Expression: Fine Arts | 3 | |
| MS 125 | Calculus I (Jax MIX Communication) | 4 |
| Jax MIX Experience: History | 3 | |
| CS 232 | Computer Programming II | 3 |
| CS 304 | Technical Writing for Computer Science (WI) | 3 |
| Hours | 16 | |
| Spring | ||
| Jax MIX Experience (History if sequence) 1 | 3 | |
| MS 126 | Calculus II | 4 |
| CS 310 | Software Engineering I | 3 |
| CS 331 | Data Structures and Algorithms | 3 |
| CS 333 | Computer Organization and Architecture | 3 |
| Hours | 16 | |
| Junior | ||
| Fall | ||
| Jax MIX Expression: Literature | 3 | |
| Jax MIX Experience: Social/Behavioral Science | 3 | |
| CS 306 | Introduction to Data Science | 3 |
| CS 488 | Database Systems | 3 |
| MS 302 | Applied Probability and Statistics | 3 |
| Hours | 15 | |
| Spring | ||
| Jax MIX Expression (Literature if sequence) 1 | 3 | |
| CS 350 | Fundamentals of Computer Operating Systems | 3 |
| CS 491 | Software Engineering II | 3 |
| MS 352 | Linear Algebra | 3 |
| MS 444 | Applied Statistical Methods | 3 |
| Hours | 15 | |
| Senior | ||
| Fall | ||
| Jax MIX Experience: Social/Behavioral Science | 3 | |
| CS 445 | Predictive Analysis | 3 |
| CS 450 | Computer Networking | 3 |
| Electives | 5 | |
| Hours | 14 | |
| Spring | ||
| CS 462 | Ethics and Legal Issues (WI) | 3 |
| CS 480 | Special Topics in Data Science | 3 |
| CS 489 | Business Intelligence | 3 |
| Electives | 6 | |
| Hours | 15 | |
| Total Hours | 120 | |
| 1 | Either a history sequence or a literature sequence is required. |