Mathematics BS, Data Science Emphasis
General Education Requirements
All department majors must satisfy the university and appropriate school or college general education requirements. All mathematics courses may be used to meet the university’s general education breadth of study requirement in natural sciences and mathematics.
Satisfactory/Unsatisfactory Restrictions
All department majors may not take mathematical sciences or related area courses on a satisfactory/unsatisfactory basis. Students considering graduate study should consult with their advisers about taking work on a satisfactory/unsatisfactory basis.
Degree Requirements
All courses of the department presented to meet the degree requirements must be completed with a grade of C- or better. At least four courses numbered 3000 or above must be taken in residence. Students must have a 2.0 grade point average in the mathematical sciences courses completed.
Students enrolling in introductory mathematics courses should check the prerequisites to determine if a satisfactory score on the Mathematics Placement Test is necessary. Placement into introductory courses assumes a mastery of two years of high school algebra.
A minimum grade of C- is required to meet the prerequisite requirement for any course except with permission of the department.
Note: Courses that are prerequisites for higher-level courses may not be taken for credit or quality points if the higher-level course has been satisfactorily completed.
Many students are qualified, as a result of having studied calculus in high school, to begin their major with MATH 1900, Analytic Geometry and Calculus II, or MATH 2000, Analytic Geometry and Calculus III. These students are urged to consult with the department before planning their programs. Credit for MATH 1800, Analytic Geometry and Calculus I, will be granted to those students who complete MATH 1900 with a grade of C- or better.
Degree Requirements in Mathematics
All mathematics majors in all undergraduate programs must complete the mathematics core requirements.
Core Requirements
The following courses are required:
| CMP SCI 1250 | Introduction to Computing 1 | 3 |
| MATH 1320 | Introduction to Probability and Statistics | 3 |
| MATH 1800 | Analytic Geometry and Calculus I | 5 |
| MATH 1900 | Analytic Geometry and Calculus II | 5 |
| MATH 2000 | Analytic Geometry and Calculus III | 5 |
| MATH 2020 | Introduction to Differential Equations | 3 |
| MATH 2450 | Elementary Linear Algebra | 3 |
| MATH 3250 | Foundations of Mathematics 3 | 3 |
| MATH 4100 | Real Analysis I 2 | 3 |
| Total Hours | 33 | |
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Students in the Fiscal Mathematics emphasis area will take MATH 4200 instead.
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Students in the Fiscal Mathematics emphasis area will take MATH 4210 instead.
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Students in the Data Science emphasis area may substitute course with CMP SCI 3130.
Emphasis Area Requirements
| CMP SCI 2250 | Programming and Data Structures | 3 |
| MATH 4005 | Exploratory Data Analysis with R | 3 |
| MATH 4070 | Introduction to Nonlinear Optimization | 3 |
| MATH 4200 | Mathematical Statistics I | 3 |
| MATH 4210 | Mathematical Statistics II | 3 |
| MATH 4250 | Introduction to Statistical Methods in Learning and Modeling | 3 |
| Elective Requirements | 12 | |
| Choose two courses from the following list and two additional courses in mathematics, statistics or computer science numbered above 4000: | ||
| Applied Statistics | ||
| Introduction to Scientific Computation | ||
| Introduction to High-dimensional Data Analysis | ||
| Bayesian Statistical Methods | ||
| Introduction to Statistical Computing | ||
| Introduction to Stochastic Processes | ||
| Linear Algebra | ||
| Introduction to Mathematics of Artificial Neural Networks | ||
| Total Hours | 30 | |
There are no related area requirements.
Computer Science majors who would like to pursue the B.S. in Mathematics (Emphasis in Data Science) are not required to take MATH 2020 and must:
a) complete all courses in the core requirements, except for MATH 4100 and may substitute MATH 3000 for MATH 3250
b) complete all courses in the specialized requirements and one from elective requirements.
Learning Outcomes
A successful undergraduate should, upon completion, be able to:
- Write clear, logically consistent proofs.
- Read, understand and assess the veracity of logical arguments or mathematical proofs.
- Reformulate problems or questions in relevant mathematical terms.
- Solve problems which involve analysis, algebra or linear algebra, elementary number theory.
- Interpret, formulate and solve problems and assess data related questions from an advanced probabilistic and statistical viewpoint.
Sample Four Year Plan
| First Year | |||
|---|---|---|---|
| Fall | Hours | Spring | Hours |
| INTDSC 10031 | 1 | CMP SCI 1250 | 3 |
| ENGL 1100 | 3 | MATH 1900 | 5 |
| MATH 1800 | 5 | MATH 1320 | 3 |
| CORE - U.S. History and Government | 3 | EXPLORE - Humanities and Fine Arts | 3 |
| CORE - Communication Proficiency | 3 | EXPLORE - Social Sciences | 3 |
| 15 | 17 | ||
| Second Year | |||
| Fall | Hours | Spring | Hours |
| CMP SCI 2250 | 3 | MATH 2020 | 3 |
| MATH 2000 | 5 | MATH 3250 | 3 |
| MATH 2450 | 3 | EXPLORE - Humanities and Fine Arts | 3 |
| Cultural Diversity Requirement | 3 | EXPLORE - Social Sciences | 3 |
| EXPLORE - Social Sciences | 3 | ||
| 14 | 15 | ||
| Third Year | |||
| Fall | Hours | Spring | Hours |
| MATH 4005 | 3 | MATH 4100 | 3 |
| MATH 4070 | 3 | MATH 4200 | 3 |
| MATH 3000+ level Course | 3 | MATH 4250 | 3 |
| EXPLORE - Social Sciences | 3 | Elective or minor | 6 |
| ENGL 3100 | 3 | ||
| 15 | 15 | ||
| Fourth Year | |||
| Fall | Hours | Spring | Hours |
| MATH 3000+ level Course | 3 | MATH/CMP SCI elective | 6 |
| MATH 4210 | 3 | Elective or minor | 8 |
| EXPLORE - Humanities and Fine Arts | 3 | ||
| Elective or minor | 6 | ||
| 15 | 14 | ||
| Total Hours: 120 | |||
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INTDSC 1003 is required only for first-time freshmen and transfer students with less than 24 college credits.
PLEASE NOTE: This plan is an example of what a four year plan could look like for a typical student. Placement exam scores in math as well as the completion of coursework may change the plan. It should not be used in the place of regular academic advising appointments. All students are encouraged to meet with their advisor each semester. All requirements are subject to change.
B.S. Ed. in Secondary Education with Emphasis in Mathematics
The B.S. Ed. is a professional education degree designed for students who wish to pursue a teaching career in secondary schools. Much of the discipline-specific coursework parallels the B.A. or B.S. degree in the discipline; however, the Missouri Department of Elementary and Secondary Education (DESE) requires specific coursework for teacher certification. Therefore, students interested in the B.S. Ed. should contact the advising office (OASIS) 314-516-5937 in the College of Education for discipline-specific requirements. Note: To obtain teaching certification, DESE requires a 3.0 GPA in the discipline and professional education coursework, as well as a 2.75 GPA overall.
B.A. or B.S. in Mathematics with Master’s Level Coursework for Secondary Teacher Certification
In addition to the B.S. Ed., students may opt to complete a B.A. or B.S. degree in their discipline as an undergraduate, followed by admission to the Graduate School for Master’s level teaching certification. The College of Education has a one-year accelerated program for post-graduate certification called Teach in 12, or students can choose a traditional path to certification. Graduate coursework for certification can apply towards a Master’s Degree in Secondary Education, with additional coursework. Students interested in Master’s Level teacher certification should contact the advising office (OASIS) 314-516-5937 in the College of Education. Note: To obtain teaching certification, DESE requires a 3.0 GPA in the discipline and professional education coursework, as well as a 2.75 GPA overall.