Mathematics: Mathematical Modeling

The world around us is filled with important, unanswered questions—mathematical modeling can take us a long way in developing a solution or understanding.

Mathematical models are used in the natural and social sciences—and beyond—to help explain and make predictions about the behavior of the world around us. Being able to define a problem and then formulate, analyze and interpret information using mathematical models will benefit you in whichever path you choose to pursue after graduation. Emmanuel's major in mathematics with a concentration in mathematical modeling is also an excellent complement to many courses of study, as the subject is integral to analyzing real-world scenarios in industries from public health and city planning to economics and criminology.

The Curriculum

View the 2022-2023 Academic Catalog to find course titles, numbers and descriptions.

Requirements for a B.A. in Mathematics with a Concentration in Mathematical Modeling

  • MATH 2101 Linear Algebra (QA) (QR)
  • MATH 2103 Calculus III (QA) (QR)
  • MATH 2109 Introduction to Proofs (QA) (QR)
  • MATH 2113 Statistics with R (QA) (QR)
  • MATH 3101 Real Analysis
  • MATH 3107 Abstract Algebra
  • MATH 4157 Senior Seminar

Three electives from this list:

  • MATH 2107 Differential Equations (QA) (QR)
  • MATH 2111 Mathematical Modeling for Social Justice (QA) (QR) (SJ) 
  • MATH 2115 Introduction to Programming with MATLAB (QA) (QR)
  • MATH 3113 Special Topics in Mathematics (when related to Mathematics Modeling, with department approval)
  • MATH 4194/95  Research Internship I and II (when related to Mathematics Modeling)

In addition to the courses required for a Mathematics Major, students will complete the following learning goals:

  • Understand and connect concepts of mathematics with other disciplines, and formulate and analyze mathematical models appropriate for an intended application.
  • Use technology and software programs (e.g. LaTeX, Excel, R, MATLAB) to analyze mathematical models.  
  • Interpret mathematical solutions in terms of the real world application, and effectively communicate results to others, especially non-mathematicians.