The Mathematics major consists of prescriptive common courses, prescriptive concentration courses, and elective courses. The Data Science concentration emphasizes coursework designed to give the student sound fundamental skills in statistical and computing concepts relating to the quantitative analysis of data (39 hours).
| Course | Title | Credits |
|---|---|---|
| Jax MIX General Education Curriculum | 41 | |
The Mathematics major requires completion of the following common courses with a “C” or better:
| Course | Title | Credits |
|---|---|---|
| MS 125 | Calculus I | 4 |
| MS 126 | Calculus II | 4 |
| MS 227 | Calculus III | 4 |
| MS 300 | Introduction to Advanced Mathematics (WI) | 3 |
| MS 344 | Differential Equations | 3 |
| MS 352 | Linear Algebra | 3 |
| MS 415 | Advanced Calculus I (WI) | 3 |
| MS 441 | Abstract Algebra I (WI) | 3 |
The Data Science concentration requires completion of the following concentration courses with a “C” or better:
| Course | Title | Credits |
|---|---|---|
| MS 302 | Applied Probability and Statistics | 3 |
| MS 444 | Applied Statistical Methods | 3 |
This concentration also requires two elective courses selected from the departmental list of approved mathematics electives;
- At least one MS course numbered 300 or higher1
- At least one MS course numbered 400 or higher
| 1 | Excludes MS 322 Selected Survey of Secondary School Mathematics (3), MS 331 Peer Educator (1), and MS 332 Peer Educator (2). |
In addition to the common, concentration, and elective courses, this concentration requires the following support courses:
| Course | Title | Credits |
|---|---|---|
| PHS 221 | Physics for Scientists and Engineers I w/Lab | 4 |
| CS 230 | Fundamentals of Computing 2 | 3 |
| CS 306 | Introduction to Data Science 2 | 3 |
| CS 445 | Predictive Analysis 2 | 3 |
| CS 480 | Special Topics in Data Science 2 | 3 |
| 2 | Grade of C or better is required for these Computer Science (CS) courses. |
A minor is not required for students majoring in Mathematics.
Note: This schedule reflects the mathematics program beginning with MS 125 Calculus I (4). Freshman Mathematics 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 | |
| MS 125 | Calculus I (Jax MIX Communication) | 4 |
| Jax MIX Experience: History | 3 | |
| CS 230 | Fundamentals of Computing 1 | 3 |
| SSC 101 | First Year Experience | 0 |
| Hours | 13 | |
| Spring | ||
| Jax MIX Communication: EH Composition sequence | 3 | |
| Jax MIX Expression: Fine Arts | 3 | |
| Jax MIX Experience (History if sequence) 2 | 3 | |
| Jax Max Experience: Social/Behavioral Science | 3 | |
| MS 126 | Calculus II | 4 |
| Hours | 16 | |
| Sophomore | ||
| Fall | ||
| Jax MIX Expression: Literature | 3 | |
| EH 141 | Speech (Jax MIX Communication) | 3 |
| PHS 221 | Physics for Scientists and Engineers I w/Lab (Jax MIX Inquiry) | 4 |
| MS 227 | Calculus III | 4 |
| Hours | 14 | |
| Spring | ||
| Jax MIX Expression (Literature if sequence) 2 | 3 | |
| Jax MIX Inquiry: Science | 4 | |
| Jax MIX Experience: Social/Behavioral Science | 3 | |
| MS 300 | Introduction to Advanced Mathematics (WI) | 3 |
| MS 352 | Linear Algebra | 3 |
| Hours | 16 | |
| Junior | ||
| Fall | ||
| CS 306 | Introduction to Data Science 1 | 3 |
| MS 344 | Differential Equations | 3 |
| General Electives | 10 | |
| Hours | 16 | |
| Spring | ||
| MS 441 | Abstract Algebra I (WI) | 3 |
| MS 444 | Applied Statistical Methods | 3 |
| MS 300+ Elective | 3 | |
| General Electives | 6 | |
| Hours | 15 | |
| Senior | ||
| Fall | ||
| CS 445 | Predictive Analysis 1 | 3 |
| MS 302 | Applied Probability and Statistics | 3 |
| MS 415 | Advanced Calculus I (WI) | 3 |
| General Electives | 6 | |
| Hours | 15 | |
| Spring | ||
| CS 480 | Special Topics in Data Science 1 | 3 |
| MS 400+ Elective | 3 | |
| General Electives | 9 | |
| Hours | 15 | |
| Total Hours | 120 | |
| 1 | Grade of C or better is required for these Computer Science (CS) courses. |
| 2 | Either a history sequence or a literature sequence is required. |