| Student ID:__________________________ Student Name:_______________________ Adviser Name:_______________________ | Publication: 2019-2020 Undergraduate Catalog Program: Mathematics, B.S. - Option in Data Science Minimum Credits Required:__________________ | |||
Mathematics, B.S. - Option in Data ScienceCollege of Natural Sciences and Mathematics > Mathematics, B.S. - Option in Data Science In addition to general university and college requirements for the Bachelor of Science degree, students majoring in Mathematics with the option in Data Science must complete the following: |
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RequirementsAt least 30.0 advanced credit hours of mathematics, including: | ||||
Linear Algebra | ||||
| Course Name | Credit Hours: | Term Taken | Grade | Gen Ed |
|---|---|---|---|---|
| MATH 2131 - Linear Algebra Labs with MATLAB | Credit Hours: 1.0 | |||
| MATH 2331 - Linear Algebra | Credit Hours: 3.0 | |||
Advanced Mathematics CoursesAt least 30.0 advanced credit hours of mathematics, which must include: | ||||
| Course Name | Credit Hours: | Term Taken | Grade | Gen Ed |
| MATH 3325 - Transition to Advanced Mathematics | Credit Hours: 3.0 | |||
| MATH 3331 - Differential Equations | Credit Hours: 3.0 | |||
| MATH 3333 - Intermediate Analysis | Credit Hours: 3.0 | |||
| MATH 3338 - Probability | Credit Hours: 3.0 | |||
| MATH 3339 - Statistics for the Sciences | Credit Hours: 3.0 | |||
OR | ||||
| MATH 3349 - Inferential Statistics | Credit Hours: 3.0 | |||
| MATH 4322 - Introduction to Data Science and Machine Learning (Senior Sequence) | Credit Hours: 3.0 | |||
| MATH 4323 - Data Science and Statistical Learning (Senior Sequence) | Credit Hours: 3.0 | |||
| MATH 4389 - Survey of Undergraduate Mathematics | Credit Hours: 3.0 | |||
Mathematics ElectiveThree credit hours of an approved MATH elective of one of the following classes: | ||||
| Course Name | Credit Hours: | Term Taken | Grade | Gen Ed |
| MATH 3330 - Abstract Algebra | Credit Hours: 3.0 | |||
| MATH 3334 - Advanced Multivariable Calculus | Credit Hours: 3.0 | |||
| MATH 4339 - Multivariate Statistics | Credit Hours: 3.0 | |||
| MATH 4315 - Graph Theory with Applications | Credit Hours: 3.0 | |||
| MATH 4320 - Introduction to Stochastic Processes | Credit Hours: 3.0 | |||
| MATH 4331 - Introduction To Real Analysis I | Credit Hours: 3.0 | |||
| MATH 4335 - Partial Differential Equations I | Credit Hours: 3.0 | |||
| MATH 4364 - Introduction to Numerical Analysis in Scientific Computing | Credit Hours: 3.0 | |||
| MATH 4366 - Numerical Linear Algebra | Credit Hours: 3.0 | |||
| MATH 4377 - Advanced Linear Algebra I | Credit Hours: 3.0 | |||
4000-level Mathematics Elective
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Computer Science (required courses) | ||||
| Course Name | Credit Hours: | Term Taken | Grade | Gen Ed |
| COSC 1306 - Computer Science & Programming | Credit Hours: 3.0 | |||
| COSC 2306 - Data Programming | Credit Hours: 3.0 | |||
OR | ||||
| * COSC 2430 - Programming and Data Structures | Credit Hours: 4.0 | |||
Recommended Electives | ||||
| Course Name | Credit Hours: | Term Taken | Grade | Gen Ed |
| ** COSC 3337 - Data Science I | Credit Hours: 3.0 | |||
| ** COSC 4337 - Data Science II | Credit Hours: 3.0 | |||
Notes*Students requesting COSC 2430 instead of COSC 2306 should contact their Academic Advisor for more information. **COSC 3337 & 4337 are required courses for COSC Data Science Minor | ||||
Suggested Program PlansSuggested Program - Bachelors of Science in Mathematics: Option in Data Science | ||||
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