COURSE CURRICULUM

The Master of Science in Mathematics program offers a diverse selection of advanced courses designed to deepen students’ understanding of both pure and applied mathematics. Sample course offerings include MATH 7260: Abstract Measure Theory, which explores the foundational aspects of measure and integration theory essential for analysis and probability. MATH 7330: Fundamentals of Approximation Theory focuses on methods for approximating functions and data, crucial in computational mathematics. Students interested in biological applications can take MATH 7380: Mathematical Biology, where mathematical models are applied to biological systems. For those pursuing algebra, MATH 7470: Rings and Modules covers important concepts in abstract algebra, contributing to a deeper grasp of algebraic structures. In applied mathematics, MATH 8010: Advanced Matrix Computations offers advanced techniques in linear algebra crucial for scientific computing. MATH 8110: Applied Finite Element Analysis introduces numerical methods for solving complex engineering and physical problems. Additionally, MATH 8140: Advanced Numerical Analysis of Differential and Integral Equations provides a rigorous approach to the numerical treatment of equations fundamental in modeling real-world phenomena. These courses collectively equip students with both theoretical knowledge and practical skills, preparing them for research or professional careers in diverse fields requiring mathematical expertise.