The Department of Mathematics and Computer Science offers a program of study leading to the B.S. in mathematics degree with an emphasis in data science (pending CBHE approval). This program provides a sufficient background in mathematics, statistics, and to some extent, computer science to produce graduates who can work in areas requiring applied mathematical techniques and tools. This degree is structured to allow additional, optional, courses that enable the student to focus on a variety of further areas of interest.
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Admission Information Complete List of Courses
Degree Requirements
The following is a brief summary of degree requirements. For complete information and restrictions, please consult the University of Missouri-St. Louis Bulletin appropriate for you.
- All general education requirements of the University. Courses in the major may be may be used to meet the university’s general education breadth of study requirement in natural sciences and mathematics.
- The following course work in the Department of Mathematics and Computer Science is required. (Must be completed with a grade of C- or higher)
Core Requirements
- CMP SCI 1250 Introduction to Computing
- MATH 1320 Introduction to Probability and Statistics
- MATH 1800 Analytic Geometry and Calculus I
- MATH 1900 Analytic Geometry and Calculus II
- MATH 2000 Analytic Geometry and Calculus III
- MATH 2020 Introduction to Differential Equations
- MATH 2450 Elementary Linear Algebra
MATH 3250 Foundations of Mathematics
- MATH 4100 Real Analysis I
In addition to the core requirments, the B.S. in Mathematics degree with emphasis in Data Science requires:
Specialized Requirements
- MATH 4005 Exploratory Data Analysis with R
- MATH 4070 Introduction to Nonlinear Optimization
MATH 4200 Mathematical Statistics I
- MATH 4210 Mathematical Statistics II
- MATH 4250 Introduction to Statistical Methods in Learning and Modeling
- Elective Requirements
Choose two courses from the following list and two additional courses in mathematics, statistics or computer science numbered above 4000:
MATH 3320 Applied Statistics
MATH 4080 Introduction to Scientific Computation
MATH 4090 Introduction to High-dimensional Data Analysis
MATH 4220 Bayesian Statistical Methods
MATH 4225 Introduction to Statistical Computing
MATH 4260 Introduction to Stochastic Processes
MATH 4450 Linear Algebra
There are no related area requirements.