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Nov 21, 2024
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2024-25 Undergraduate Catalog
Mathematics, BS
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 Return to: Programs of Study
Program Code: MATH
The program for a mathematics major in the Kopchick College of Natural Sciences and Mathematics is designed to develop well-rounded quantitative skills and the ability to communicate technical results to both professional and lay audiences. Students earning a Mathematics BS degree will gain skills selected from all areas of mathematics: skills addressing theoretical concepts including abstraction and analysis, data-centric skills covering predictive analytics in addition to probability and statistics, and computational skills including optimization and simulation. Those completing a degree in mathematics will be prepared for two future paths: (1) a continuance of their studies in mathematics in graduate school, or (2) an entrance into business, industry, or government service.
Students completing the data science specialization will gain skills on utilizing complex databases to provide real world, real-time solutions that incorporate predictive analytics and forecasting to improve decision making. Students are ready for careers that utilize quantitative modeling techniques, including probability, statistics, optimization, simulation, and computing, in the design of solutions to data-driven problems.
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Liberal Studies Electives: 3
- No courses with MATH prefix, must include at least one course in a foreign language that fulfills a Liberal Studies elective.
Choose one course from the following:
3 credits are required.
Mathematics Specialization –or– Data Science Specialization
Mathematics Specialization: 18-19
Choose 6 courses from the following:
Free Electives for Mathematics Specialization: 29-31
Data Science Specialization: 30-33
Choose one course from the following:
Other Requirements: 3-6
Minor in Computer Science (4), including the courses listed above.
Free Electives for Data Science Specialization: 15-19
Total Degree Requirements: 120
(1) English Composition II requirement is fulfilled by the department’s Writing Plan. (2) Students should take 2 credits of MATH 480 in Spring of junior year and 1 credit in Spring of senior year. Students completing the Data Science Specialization may substitute COSC 473 for MATH 480.
(3) Three credits of Internship will be applied to the major. Any additional credits may be used as free electives. Students completing the Data Science Specialization may substitute 3 credits of COSC 493 for MATH 493.
(4) Recommended COSC 310 and COSC 319. SLOs
| # | Program Outcome | Indicator | Course(s) | Category | | 1 | Learn and recall concepts in calculus, linear algebra, and probability and statistics | 80% of students score higher than 145 on ETS Major Field Test taken in MATH 480 or during MATH 493; 80% of graduating students earn total major GPA 3.0 or higher | | A | | 2 | Construct mathematical proofs using the methods of direct proof, indirect proof, proof by contradiction, proof by contrapositive, and mathematical induction | 80% of students earn total GPA of 3.0 or higher in MATH 271 | Junior status students | B | | 3 | Apply mathematics to analyze, model, and solve mathematical problems | 80% of graduating students earn total major GPA 3.0 or higher | | C | | 4 | Effectively communicate mathematics | 80% of students earn ratings of proficient or distinguished on the communications skills rubric as evaluated by the instructor of MATH 480 or the MATH 493 internship program coordinator | | C |
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