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:
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:
Computational Optimization Minor
The Department of Mathematics offers a minor in computational optimization designed to introduce students from any discipline to the fundamentals of mathematical programming and optimization. This program provides a strong foundation in calculus, logic, and algebra, essential for understanding both linear and nonlinear optimization techniques. Students will also be exposed to several programming and modeling languages, equipping them with the tools necessary to implement and solve complex optimization problems. By completing this minor, students will develop advanced skills in mathematical modeling and computational methods, which are crucial for research and application in various fields. These skills are highly valuable to employers and graduate programs that seek candidates with strong analytical, computational, and quantitative abilities.