Computational Economics

Student Learning Outcomes

1. Students will be able to design and use valid mathematical models and use them to solve realistic problems, employing techniques from computer algorithms or mathematics.
2. Students will show the ability to engage in statistical reasoning, including the capacity to produce and interpret statistical information.
3. Students will be able to apply decision support tools to business decision-making.
4. Students will be able to communicate economic, mathematical and algorithmic ideas effectively in both oral and written form.

Vocational Applications

 Graduates of this program will find employment applying their understanding of computational sciences and computer modeling to promote the interests of private firms or the advancement of sound public policy. Graduates who complete this program will also find that they are well equipped to enter graduate programs in Economics, Applied Mathematics and Statistics. Requirements: In addition to meeting the liberal arts core requirements of the University, students must complete the courses listed below. A major must have a minimum cumulative 2.25 GPA in all courses counting toward the major. Additionally, students must participate in program assessment activities.