Mathematics – Decision Science

The Mathematics-Decision Science majors allow students to use courses from the Falls School of Business to enhance the Mathematics major without requiring a double major. The resulting majors are more focused than a traditional Mathematics major, yet still versatile for a broad range of career paths.

Decision science is a discipline that is concerned with using mathematics to make appropriate decisions when confronted with complex problems. It can deal with optimizing the design or operation of systems involving machinery, materials, money and even people.

Start your AU story

Apply Now


This program is interdisciplinary.

This major is taught by our talented faculty across campus, including professors from the Falls School of Business and the Department of Mathematics.

This major can be completed in a 3-year or 4-year track to graduation.


What courses will I take?

Among the classes in the 53-hour major are:

  • differential equations
  • linear algebra
  • marketing research
  • numerical analysis
  • principles of management
  • problem seminar
  • supply chain management

View the courses required for the Mathematics – Decision Science Major.


Mathematics Student Research

The Anderson University Department of Mathematics offers a unique, hands-on research experience.   Undergraduate students work alongside faculty to conduct original research in mathematics.  This exciting research into new mathematics is presented in a variety of venues.  These have included poster sessions and invited talks at other universities.  Opportunities such as these advance our knowledge about God’s creation and develop skills that are essential for students furthering their studies at the graduate level.

Here are samples of the projects that are currently underway:

Adventures in the Quantum Polynomial Ring:  Linear Algebra Computations in C Abstract:

  • The p-polynomials appear as the elements of transition matrices used to convert a special class of bases to the standard basis within the quantum polynomial ring. We examined computational methods for generating p-polynomials. An algorithm for finding a p-polynomial has been known; however, the implementation of this algorithm was not sufficiently fast. Through algorithmic analysis, a change in the implementation language, and the adoption of matrix-based algorithms, significant improvements in speed were realized. Optimization of this process has led to a speedup of over 140,000 times.
  • Linear Algebra Computations in C Research Project [PDF]

Adventures in the Quantum Polynomial Ring: Patterns in the p-Polynomials Abstract:

  • The p-polynomials appear as the elements of transition matrices used to convert a special class of bases to the standard basis within the quantum polynomial ring. The purpose of this study is to analyze these polynomials for patterns and eventually catalog these newly generated p-polynomials for future analysis. The initial strategy for finding these patterns will take advantage of generalized rules from the modified R-polynomials and Kazhdan-Lusztig polynomials. Additional strategies arise by observing new patterns from the list of computer-generated polynomials. We also examine a special class of p-polynomials that are generated by the longest word in the symmetric group and describe patterns in the coefficients of these polynomials.
  • Patterns in the p-Polynomials [PDF]


Mathematics Facilities

Located on the third floor of Decker Hall, the AU Department of Mathematics is an open and inviting space.  Four faculty offices open into a common area with whiteboard walls. All who pass through can see mathematics being done.

Decker 338 is a classroom that has been specially designed for mathematics mathematics courses. Distinctive features include floor to ceiling whiteboard walls and easily movable furniture. Tables in the room provide ample space for notebooks, textbooks, and a laptop. The versatile nature of the furniture allows the room to be transformed to accommodate lectures with 35 students, students working in groups, and smaller seminar based courses.

Decker 330 serves as the department's mathematics lab. This room is used for tutoring, seminar space, and a place where students can work on projects together.