Accelerated Bachelor of Science in Applied Mathematics/Master of Arts in Teaching (with Teaching Certification)
To earn an Accelerated BS/MAT in Applied Mathematics, a student must complete all basic requirements for the BS degree with a major in Applied Mathematics, as well as additional coursework at the graduate level. (See Graduate Catalog for details of graduate requirements, including eligibility and admission).
BS in Applied Mathematics
Requirements for a Major in Applied Mathematics
| Code | Title | Hours |
|---|---|---|
| Required Courses | ||
| Thirty-nine semester hours, nine hours of which must be at the 4000-level, including the following: | ||
| MTH 1321 | Calculus I | 3 |
| MTH 1322 | Calculus II | 3 |
| MTH 2311 | Linear Algebra | 3 |
| MTH 2321 | Calculus III | 3 |
| MTH 3300 | Foundations of Mathematics | 3 |
| STA 3381 | Probability and Statistics | 3 |
| One of the following: | 3 | |
| Foundations of Combinatorics and Algebra | ||
| Introduction to Analysis | ||
| Abstract Algebra | ||
| Advanced Calculus I | ||
| Nine semester hours from one of the following groups: 1 | 9 | |
| Statistical | ||
| Intermediate Statistical Methods | ||
| Mathematical Statistics I | ||
| Mathematical Statistics II | ||
| Introduction to Probability Models | ||
| Differential | ||
| Ordinary Differential Equations 1 | ||
| Partial Differential Equations | ||
| Theory of Functions of a Complex Variable | ||
| Numerical | ||
| Numerical Methods | ||
| Numerical Analysis | ||
| Numerical Linear Algebra | ||
| Nine semester hours of 3000-4000 level MTH or STA courses | 9 | |
| A grade of “C” or better in thirty-nine hours of MTH and STA courses used for the major. | ||
| Subtotal | 39 | |
| Required Courses in Other Fields | ||
| Eight semester hours of science courses with appropriate labs (with no more than 4 hours of GEO) selected from the following: | 8 | |
| CSI 1401 | Introduction to Programming I | 4 |
| or CSI 1430 | Introduction to Computer Science I with Laboratory | |
| or STA 2450 | Introduction to Computing for the Mathematical and Statistical Sciences | |
| CSI 1402 | Introduction to Programming II | 4 |
| or CSI 1440 | Introduction to Computer Science II with Laboratory | |
| or STA 4330 | SAS Programming for Statistical Science | |
| or STA 4350 | Statistical Machine Learning | |
| or STA 4373 | Computational Methods in Statistics | |
| Modern Concepts of Bioscience and Modern Concepts of Bioscience Laboratory | ||
| Modern Concepts of Bioscience, continued and Modern Concepts of Bioscience Laboratory | ||
| Basic Principles of Modern Chemistry I and General Chemistry Laboratory I | ||
| Basic Principles of Modern Chemistry II and General Chemistry Laboratory II | ||
| Exploring Environmental Issues and An Introduction to Environmental Analysis (Lab) | ||
| The Earth Through Time and The Earth Through Time, Laboratory | ||
| Evolution and Extinction and The Earth Through Time, Laboratory | ||
| Earthquakes and Other Natural Disasters | ||
| World Oceans | ||
| Environmental Geology | ||
| The Dynamic Earth | ||
| Earth Science | ||
| Introduction to Neuroscience and Introduction to Neuroscience Laboratory | ||
| General Physics I | ||
| General Physics II | ||
| Total Hours | 55 | |
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A student applying for medical school is recommended to select Statistical and take MTH 3325 Ordinary Differential Equations as a 3000-level course.