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Mathematics, B.S.

  1. 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.
  2. Graduates will be able to demonstrate an ability to write and comprehend mathematical proofs using both direct and indirect methods.
  3. Graduates will be able to demonstrate an ability to analyze data and perform appropriate statistical analyses.
  4. Graduates will be able to demonstrate an ability to write computer programs that implement mathematical or statistical algorithms.
  5. Graduates will be able to demonstrate an ability to communicate mathematical ideas and concepts both orally and in writing.
  6. Graduates will be able to demonstrate an understanding of at least two advanced, in-depth topics in mathematics or statistics, including at least one topic in pure mathematics.

Mathematics students must complete a minimum total of 51 credits for the major.

University Undergraduate Core32-35
Major Requirements
MATH 1510Calculus I4
MATH 1520Calculus II4
MATH 2530Calculus III 14
MATH 2660Principles of Mathematics3
MATH 3120Introduction to Linear Algebra3
Computer Programming Requirement3-4
CSCI 1060
Introduction to Computer Science: Scientific Programming
or CSCI 1300
Introduction to Object-Oriented Programming
Upper Division Requirements
Students will take an additional nine upper division mathematics courses (including two sequences) and an allied elective for 30 total credits.
Pure Mathematics Requirements
MATH 4110Introduction to Abstract Algebra3
MATH 4210Introduction to Analysis3
Statistics Requirement
STAT 3850Foundation of Statistics3
Sequence Requirement6-9
Students must complete two sequences, one of which must be either the algebra sequence or the analysis sequence.
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
Introduction to Complex Variables
MATH 4320
Complex Variables II
Upper Division Mathematics Elective Courses 9-12
Students choose 6 credits of 3000/4000-level MATH/STAT courses. 2
Allied Elective3-4
An additional course in another discipline that has a strong mathematical or computational component. This course cannot be used to satisfy any of the other requirements for a B.S. degree. Approved courses are:
BIOL 4030
Introduction to Genomics
CHEM 4300
Mathematical Techniques in Chemistry
Any 3 or 4-credit CSCI course other than the one used to satisfy the programming requirement for the B.S. in mathematics.
EAS 3330
Atmospheric Thermodynamics
or EAS 3500
Numerical Modeling Applications
Any 3000 or 4000 level ECON course (paying attention to prerequisites). 3
Any 3 or 4-credit PHYS course numbered 1610 or higher 5
Any 3 or 4-credit course in Engineering 6,7
General Electives32-37
Total Credits120
1

Calculus III must be taken at Saint Louis University with a minimum grade of “C-.”

2

Except for MATH 3270 Advanced Mathematics for Engineers and MATH 4050 History of Mathematics.

3

Excluding ECON 3010 Introduction to Econometrics.

4

Noting that PHIL 4040 Symbolic Logic is its prerequisite.

5

PHYS 1610 University Physics I should not be taken for credit if the student already has taken PHYS 1310 College Physics I or its equivalent for credit.

6

 That has at least MATH 1510 Calculus I or PHYS 1610 University Physics I as a prerequisite (paying attention to other prerequisites).

7

AENG 2000 Intro to Aeronautics & Astron (or a higher numbered course with AENG 2000 Intro to Aeronautics & Astron in the prerequisite sequence), BME 3100 Signals, BME 3200 Mechanics, BME 3300 Transport Fundamentals, ECE 3140 Electromagnetic Fields, ECE 3150 Linear Systems, ECE 4120 Automatic Control Systems, ECE 4153 Image ProcessingMENG 2150 Dynamics (3 cr), MENG 2310 Thermodynamics (3 cr) (or a higher numbered SE, MENG, CVNG, or other engineering course code in the prerequisite sequence), and MENG 2000 Foundation to Engineering Design.

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). A 2.00 or "C" GPA is required in upper division mathematics courses counting toward the major.

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.

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.

Plan of Study Grid
Year One
FallCredits
CORE 1500 Cura Personalis 1: Self in Community 1
MATH 1510 Calculus I 4
University Core and/or General Electives 8
 Credits13
Spring
MATH 1520 Calculus II 4
Programming Course 1 3-4
University Core and/or General Electives 9
 Credits16-17
Year Two
Fall
MATH 2530 Calculus III 4
MATH 2660 Principles of Mathematics 3
University Core and/or General Electives 9
 Credits16
Spring
MATH 3120 Introduction to Linear Algebra 3
STAT 3850 Foundation of Statistics 3
University Core and/or General Electives 9
 Credits15
Year Three
Fall
MATH 4110 Introduction to Abstract Algebra 3
Mathematics or Statistics Elective 2 3
University Core and/or General Electives 9
 Credits15
Spring
Pure Mathematics Elective 3 3
Mathematics or Statistics Elective 2 3
University Core and/or General Electives 9
 Credits15
Year Four
Fall
Mathematics or Statistics Sequence 4 3
MATH 4210 Introduction to Analysis 3
Allied Elective 5 3
University Core and/or General Electives 6
 Credits15
Spring
Mathematics or Statistics Sequence 4 3
Mathematics or Statistics Elective 2 3
University Core and/or General Electives 9
 Credits15
 Total Credits120-121
1

See note below about the programming requirement.

2

See note below about mathematics and statistics electives.

3

See note below about the pure mathematics sequence requirement.

4

See note below about mathematics and statistics sequences.

5

See note below about allied electives.

Program Notes

Programming Requirement

CSCI 1060 Introduction to Computer Science: Scientific Programming (3 cr) or CSCI 1300 Introduction to Object-Oriented Programming (4 cr) (with attention paid to prerequisites).

Mathematics and Statistics Elective

Any 3000- or 4000-level MATH or STAT course numbered higher than MATH 3120 Introduction to Linear Algebra (3 cr).

Pure Mathematics Sequence

Students can satisfy the pure mathematics sequence requirement by completing either the algebra sequence or real analysis sequence, as defined below.

Mathematics and Statistics Sequences

Students must complete a second sequence in addition to the pure mathematics sequence, chosen from the following list.

  1. Algebra Sequence: MATH 4110 Introduction to Abstract Algebra (3 cr) and either MATH 4120 Linear Algebra (3 cr) or MATH 4150 Number Theory (3 cr).
  2. 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).
  3. Differential Equations Sequence: MATH 3550 Differential Equations (3 cr) and either MATH 4550 Nonlinear Dynamics and Chaos (3 cr) or MATH 4570 Partial Differential Equations (3 cr).
  4. 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).
  5. 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).

Allied Elective

A course in another discipline that has a strong mathematical or computational component. Appropriate courses are available in computer science, economics, physics and other science and engineering disciplines. This course cannot be used to satisfy any of the other requirements for a B.S. degree. See the Course Catalog for a list and description of acceptable courses.

2+SLU programs provide a guided pathway for students transferring from a partner institution. 

Mathematics, B.S. (STLCC 2+SLU)

For additional information about this program, please contact mathstat@slu.edu or call 314-977-2444.