- Graduates will be able to demonstrate conceptual competency in foundational areas of mathematics by developing problem-solving skills and solving problems in these areas of mathematics.
- Graduates will be able to demonstrate an ability to write and comprehend mathematical proofs using both direct and indirect methods.
- Graduates will be able to demonstrate an ability to analyze data and perform appropriate statistical analyses.
- Graduates will be able to demonstrate an ability to write computer programs that implement mathematical or statistical algorithms.
- Graduates will be able to demonstrate an ability to communicate mathematical ideas and concepts both orally and in writing.
- Graduates will be able to demonstrate an understanding of at least one advanced, in-depth topic in mathematics or statistics.
Mathematics students must complete a minimum total of 33 credits for the major.
Code | Title | Credits |
---|---|---|
University Undergraduate Core | 32-35 | |
Major Requirements | ||
MATH 1510 | Calculus I | 4 |
MATH 1520 | Calculus II | 4 |
MATH 2530 | Calculus III ‡ | 4 |
MATH 2660 | Principles of Mathematics | 3 |
MATH 3120 | Introduction to Linear Algebra | 3 |
STAT 3850 | Foundation of Statistics | 3 |
Computer Programming Requirement * | ||
CSCI 1060 | Introduction to Computer Science: Scientific Programming | 3-4 |
or CSCI 1300 | Introduction to Object-Oriented Programming | |
All students must complete a minimum of 12 further credits at the 3000-level or above, 6 credits of which must be at or above the 4000-level. Students must complete a 6-credit sequence and 6 credits in Mathematics or Statistics Electives. | ||
Differential Equations Sequence: | ||
MATH 3550 | Differential Equations | |
MATH 4550 | Nonlinear Dynamics and Chaos | |
or MATH 4570 | Partial Differential Equations | |
Statistics Sequence: | ||
STAT 3850 | Foundation of Statistics | |
MATH 4800 | Probability Theory | |
or STAT 4840 | Time Series | |
or STAT 4870 | Applied Regression | |
Algebra Sequence: | ||
MATH 4110 | Introduction to Abstract Algebra | |
MATH 4120 | Linear Algebra | |
or MATH 4150 | Number Theory | |
Analysis Sequence: | ||
MATH 4210 | Introduction to Analysis | |
MATH 4220 | Metric Spaces | |
or MATH 4230 | Multivariable Analysis | |
Complex Analysis Sequence: | ||
MATH 4310 & MATH 4320 | Introduction to Complex Variables and Complex Variables II | |
Mathematics and Statistics Electives | 6 | |
Students choose 6 credits of 3000/4000-level MATH/STAT courses. | ||
Track or Concentration Option | 12-16 | |
Students have the option to pursue one of the following, if desired | ||
General Electives | 36-49 | |
Total Credits | 114 |
- ‡
MATH 2530 Calculus III (4 cr) must be taken at Saint Louis University with minimum grade of “C-”
- *
The Computer Programming requirement does not apply to students choosing the Teachers Option track. Students with the Statistics Concentration must take CSCI 1300 for their computer programming requirement.
Continuation Standards
Students must have a minimum of a 2.00 cumulative GPA in their mathematics major or minor courses by the conclusion of their sophomore year, must maintain a minimum of 2.00 cumulative GPA in these courses at the conclusion of each semester thereafter, and must be registered in at least one course counting toward their major or minor in each academic year (until all requirements are completed).
Graduation Requirements
- Complete a minimum of 120 credits (excluding pre-college level courses numbered below 1000).
- Complete the University Undergraduate Core curriculum requirements.
- Complete major requirements: minimum of 30 credits required.
- Complete remaining credits with a second major, minor, certificate or electives to reach the minimum of 120 credits required for graduation.
- Achieve at least a 2.00 cumulative grade point average, a 2.00 grade point average in the major(s), and a 2.00 grade point average in the minor/certificate or related elective credits.
- Complete department- and program-specific academic and performance requirements.
- Complete at least 50% of the coursework for the major and 75% for the minor/certificate through Saint Louis University or an approved study-abroad program.
- Complete 30 of the final 36 credits through Saint Louis University or an approved study-abroad program.
- Complete an online degree application by the required University deadline.
Track and Concentration Requirements
Students have the option to pursue one of the following, if desired:
Teachers Option
Code | Title | Credits |
---|---|---|
Required Courses | ||
MATH 4050 | History of Mathematics | 3 |
MATH 4110 | Introduction to Abstract Algebra | 3 |
or MATH 4210 | Introduction to Analysis | |
MATH 4410 | Foundations of Geometry | 3 |
or MATH 4430 | Non-Euclidean Geometry | |
Elective | ||
Select one of the following: | 3 | |
MATH 3550 | Differential Equations | |
MATH 4800 | Probability Theory | |
STAT 4850 | Mathematical Statistics | |
STAT 4870 | Applied Regression | |
MATH 4150 | Number Theory | |
Total Credits | 12 |
Statistics Concentration
Code | Title | Credits |
---|---|---|
Required Courses | ||
MATH 4800 | Probability Theory | 3 |
STAT 4850 | Mathematical Statistics | 3 |
CSCI 1300 | Introduction to Object-Oriented Programming | 4 |
Elective Courses | ||
Select two of the following: | 6 | |
MATH 4210 | Introduction to Analysis | |
MATH 4230 | Multivariable Analysis | |
STAT 4840 | Time Series | |
STAT 4870 | Applied Regression | |
CSCI 4750 | Machine Learning | |
Total Credits | 16 |
Roadmaps are recommended semester-by-semester plans of study for programs and assume full-time enrollment unless otherwise noted.
Courses and milestones designated as critical (marked with !) must be completed in the semester listed to ensure a timely graduation. Transfer credit may change the roadmap.
This roadmap should not be used in the place of regular academic advising appointments. All students are encouraged to meet with their advisor/mentor each semester. Requirements, course availability and sequencing are subject to change.
Standard Track
Year One | ||
---|---|---|
Fall | Credits | |
MATH 1510 | Calculus I | 4 |
CORE 1500 | Cura Personalis 1: Self in Community | 1 |
University Core and/or General Electives | 7 | |
Credits | 12 | |
Spring | ||
MATH 1520 | Calculus II | 4 |
University Core and/or General Electives | 12 | |
Credits | 16 | |
Year Two | ||
Fall | ||
MATH 2530 | Calculus III | 4 |
MATH 2660 | Principles of Mathematics | 3 |
University Core and/or General Electives | 9 | |
Credits | 16 | |
Spring | ||
MATH 3120 | Introduction to Linear Algebra | 3 |
STAT 3850 | Foundation of Statistics | 3 |
University Core and/or General Electives | 9 | |
Credits | 15 | |
Year Three | ||
Fall | ||
Mathematics or Statistics Sequences 1 | 3 | |
CSCI 1300 | Introduction to Object-Oriented Programming | 4 |
University Core and/or General Electives | 9 | |
Credits | 16 | |
Spring | ||
Mathematics or Statistics Sequences 1 | 3 | |
University Core and/or General Electives | 12 | |
Credits | 15 | |
Year Four | ||
Fall | ||
Mathematics or Statistics Elective 2 | 3 | |
University Core and/or General Electives | 12 | |
Credits | 15 | |
Spring | ||
Mathematics or Statistics Elective 2 | 3 | |
University Core and/or General Electives | 12 | |
Credits | 15 | |
Total Credits | 120 |
- 1
Students may choose among five different sequences in Mathematics and Statistics.
- Algebra Sequence: MATH 4110 Introduction to Abstract Algebra (3 cr) and one of either MATH 4120 Linear Algebra (3 cr) or MATH 4150 Number Theory (3 cr).
- Complex Analysis Sequence:MATH 4310 Introduction to Complex Variables (3 cr) and either MATH 4320 Complex Variables II (3 cr) or MATH 4360 Geometric Topology (3 cr).
- Differential Equations Sequence: MATH 3550 Differential Equations (3 cr) and either MATH 4550 Nonlinear Dynamics and Chaos (3 cr) or
- Real Analysis Sequence:MATH 4210 Introduction to Analysis (3 cr) and one of either MATH 4220 Metric Spaces (3 cr) or MATH 4230 Multivariable Analysis (3 cr).
- Statistics Sequence:STAT 3850 Foundation of Statistics (3 cr) and one of: MATH 4800 Probability Theory (3 cr), STAT 4840 Time Series (3 cr), or STAT 4870 Applied Regression (3 cr).
- 2
Any 3000- or 4000-level MATH or STAT course numbered higher than MATH 3120 Introduction to Linear Algebra. Students must complete at least two 4000-level MATH or STAT courses.
Teachers Option
Year One | ||
---|---|---|
Fall | Credits | |
MATH 1510 | Calculus I | 4 |
CORE 1500 | Cura Personalis 1: Self in Community | 1 |
University Core and/or General Electives | 8 | |
Credits | 13 | |
Spring | ||
MATH 1520 | Calculus II | 4 |
University Core and/or General Electives | 12 | |
Credits | 16 | |
Year Two | ||
Fall | ||
MATH 2530 | Calculus III | 4 |
MATH 2660 | Principles of Mathematics | 3 |
University Core and/or General Electives | 9 | |
Credits | 16 | |
Spring | ||
MATH 3120 | Introduction to Linear Algebra | 3 |
University Core and/or General Electives | 12 | |
Credits | 15 | |
Year Three | ||
Fall | ||
Pure Mathematics Elective 1 | 3 | |
University Core and/or General Electives | 12 | |
Credits | 15 | |
Spring | ||
MATH 4050 | History of Mathematics 2 | 3 |
STAT 3850 | Foundation of Statistics | 3 |
University Core and/or General Electives | 9 | |
Credits | 15 | |
Year Four | ||
Fall | ||
Mathematics or Statistics Elective 3 | 3 | |
University Core and/or General Electives | 12 | |
Credits | 15 | |
Spring | ||
Geometry Elective 4 | 3 | |
University Core and/or General Electives | 12 | |
Credits | 15 | |
Total Credits | 120 |
- 1
See note below about the Pure Mathematics Requirement.
- 2
See note below about the History of Mathematics Requirement.
- 3
See note below about Mathematics and Statistics Electives.
- 4
See note below about the Geometry Requirement.
Program Notes
Pure Mathematics Requirement
Students can satisfy the pure mathematics requirement by completing either MATH 4110 Introduction to Abstract Algebra (3 cr) or MATH 4210 Introduction to Analysis (3 cr).
History of Mathematics Requirement
MATH 4050 History of Mathematics (3 cr) is typically offered in the spring of even-numbered years. Students may need to adjust their schedules accordingly.
Mathematics and Statistics Elective
MATH 3550 Differential Equations (3 cr), MATH 4800 Probability Theory (3 cr) or MATH 4150 Number Theory (3 cr).
Geometry Requirement
Students can satisfy the geometry requirement by completing either MATH 4410 Foundations of Geometry (3 cr) or MATH 4430 Non-Euclidean Geometry (3 cr). One of these two courses will typically be offered in the spring of odd-numbered years. Students may need to adjust their schedules accordingly.
Statistics Concentration
Year One | ||
---|---|---|
Fall | Credits | |
MATH 1510 | Calculus I | 4 |
CORE 1500 | Cura Personalis 1: Self in Community | 1 |
University Core and/or General Electives | 7 | |
Credits | 12 | |
Spring | ||
MATH 1520 | Calculus II | 4 |
University Core and/or General Electives | 12 | |
Credits | 16 | |
Year Two | ||
Fall | ||
MATH 2530 | Calculus III | 4 |
MATH 2660 | Principles of Mathematics | 3 |
University Core and/or General Electives | 9 | |
Credits | 16 | |
Spring | ||
MATH 3120 | Introduction to Linear Algebra | 3 |
STAT 3850 | Foundation of Statistics | 3 |
University Core and/or General Electives | 9 | |
Credits | 15 | |
Year Three | ||
Fall | ||
CSCI 1300 | Introduction to Object-Oriented Programming | 4 |
Mathematics or Statistics Elective 1 | 3 | |
University Core and/or General Electives | 9 | |
Credits | 16 | |
Spring | ||
Mathematics or Statistics Elective 1 | 3 | |
University Core and/or General Electives | 12 | |
Credits | 15 | |
Year Four | ||
Fall | ||
MATH 4800 | Probability Theory | 3 |
University Core and/or General Electives | 12 | |
Credits | 15 | |
Spring | ||
STAT 4850 | Mathematical Statistics | 3 |
University Core and/or General Electives | 12 | |
Credits | 15 | |
Total Credits | 120 |
- 1
See note below about Mathematics and Statistics Electives.
Program Notes
Mathematics and Statistics Elective
Students must choose two courses from: MATH 4210 Introduction to Analysis (3 cr), MATH 4230 Multivariable Analysis (3 cr), STAT 4840 Time Series (3 cr), STAT 4870 Applied Regression (3 cr), CSCI 5750 Introduction to Machine Learning (3 cr).
2+SLU programs provide a guided pathway for students transferring from a partner institution.
For additional information about this program, please contact mathstat@slu.edu or call 314-977-2444.