Mathematics Minor
The Math Department offers three minors - Mathematics, Statistics, and Computational Optimization - to give students flexible, targeted options for strengthening their quantitative skills. The Mathematics minor deepens theoretical understanding, the Statistics minor builds essential data analysis and research skills, and the Computational Optimization minor develops practical tools for modeling and solving complex, real-world problems. Together, these minors allow students from any major to tailor their training and enhance their competitiveness in today's data-driven academic and professional fields.
Mathematics Minor
The Department of Mathematics offers a minor program in mathematics designed to enable students with a significant interest in mathematics to deepen their knowledge while pursuing a major in another field, thereby providing these students with a broad and deep mathematical foundation that is extremely valuable to employers and graduate schools seeking students with quantitative skills. Mathematical methods are used today in a variety of careers including accounting, finance, economics, biology, psychology, engineering, and computer science.
Required Courses:
- Math 1950, Math 1960
- Once course from MATH 2200, MATH 2450, MATH 2560
- MATH 3000
- Directed electives: Two from MATH 3250, MATH 3510, MATH 3720, MATH 4010, MATH 4050, MATH 4200, MATH 4250, MATH 4270, MATH 4460, MATH 4510, MATH 4570, MATH 4600, MATH 4700, MATH 4720
Statistics Minor
The Department of Mathematics offers a minor program in statistics intended to introduce students from any discipline to the fundamentals of mathematical statistics and to the most common applied statistical methods. By completing this program, a student develops skills in advanced statistical methods necessary for conducting research in applied subjects. These skills are extremely valuable to employers and graduate schools seeking students with quantitative skills.
Required Courses:
- One course from: MATH 1830 or MATH 1950
- One course from: MATH 1960 or MATH 2530
- One course from: MATH 3100 Applied Statistics or MATH 4130
- Directed Electives - Three courses from: MATH 4140, MATH 4160, MATH 4170, MATH 4350, or CPSC 4240
Computational Optimization Minor
The Department of Mathematics offers a minor program in statistics intended to introduce students from any discipline to the fundamentals of mathematical statistics and to the most common applied statistical methods. By completing this program, a student develops skills in advanced statistical methods necessary for conducting research in applied subjects. These skills are extremely valuable to employers and graduate schools seeking students with quantitative skills.
Required Courses:
- One course from: MATH 1830 or MATH 1950
- One course from: MATH 1960 or MATH 2530
- One course from: MATH 3100 Applied Statistics or MATH 4130
- Directed Electives - Three courses from: MATH 4140, MATH 4160, MATH 4170, MATH 4350, or CPSC 4240