Program Description: Mathematicians study concepts and theories used to solve problems involving quantitative relationships. Opportunities for mathematically-oriented graduates exist in such areas as physics, engineering, space technology, economics, business management, statistics, actuarial sciences, operations research, medical research, environmental sciences, and teaching. The Mathematics minor prepares graduates for positions in industry and teaching or to continue their education in graduate programs.
Contact: Chair, Department of Mathematics
Required Courses
MTH | Course Title | Cr. Hrs. |
---|---|---|
245 | Calculus I | 4 |
246 | Calculus II | 4 |
350 | Applied Linear Algebra & Differential Equations | 3 |
Three MTH courses numbered >300 | 7 | |
18 hours |
Students seeking to earn the Data Science Minor must successfully complete six courses for a total of 18 credit hours. All students will complete two courses forming a "statistics sequence" (MTH 360/361 and MTH 362) and two courses forming a "data science sequence" (MTH 365 and MTH 366). The remaining two courses will be selected from options in mathematics, computing sciences, and other disciplines across the University.
Required Courses
MTH | Course Title | Cr. Hrs. |
---|---|---|
360 | Elementary Probability and Statistics | 3 |
362 | Statistical Modeling | 3 |
365 | Introduction to Data Science | 3 |
366 | Machine Learning | 3 |
| The other two courses in the Data Science Minor will be satisfied by completing a Computing Course and a Discipline Course. Computing Courses (choose 1 of 3: 3 credit hours)
Discipline Courses (choose 1 of 18: 3 credit hours)
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18 hours |