Catalog Version

2013- 2014

Catalog update:
October 15, 2013

Access archived catalogs in the Catalog Archive section.​​​​​

Students are required to follow the Academic Handbook and Code of Student Responsibility

Course Requirements

Major Electives

Students must take 7 Major Field electives chosen from the grouped list below. Of these, 3 must be CDM courses and 3 must be MAT courses, and 1 could be either a CDM or MAT course.

Students must earn a grade of C- or higher in all major elective courses.

It is recommended that students concentrate on one or two areas for their advanced classes to achieve depth, but they are not required to do so. Students are strongly encouraged to discuss course selection with an advisor. Students may wish to arrange with a professor to take an independent study or a research experience (MAT 399 or CSC 399 or IT 300) in order to explore a subject more deeply than is possible in a scheduled course.

Theory of Computation 

The courses in the theory area explore the mathematical and logical foundations of computer science.

Computational Methods

The computational methods area investigates quantitative and computational methods in computer science

Artificial Intelligence 

For students with an interest in the computational relations between syntax and semantics.

Data Analysis

For students who are interested in statistical and computational analysis of data. Many of the courses in this area require the student to take MAT 351-353.


The graphics courses are intended for students who want to study the technical and mathematical foundations of computer graphics and animation.

Computer Vision

Computer vision studies the mathematical and algorithmic underpinnings of image analysis and image processing. 

Open Electives

Open elective credit also is required to meet the minimum graduation requirement of 192 hours. 

Degree Requirements

Students in this degree must meet the following requirements:

  • Complete a minimum of 192 credit hours (generally 48 courses) 
  • Earn a grade of C- or higher in WRD 103, WRD 104, and all Major and Minor courses 
  • Earn a grade of D or higher in all other Liberal Studies and Open Elective courses
  • Maintain a cumulative GPA of 2.0 or higher ​

MAT 172


This course is designed for students in the life sciences and covers some topics from MAT 152, differential equations and an introduction to the Calculus of functions of several variables. Specific topics are as follows. Numerical integration, partial fraction expansions, Taylor approximations of a function, differential equations, separation of variables, slope fields, Euler's existence theorem, polygonal approximations to solutions of differential equations, the logistic equation and allometric growth models, equilibiria of differential equations and their stability, applications of stability theory, functions of several variables, partial derivatives, directional derivative and the gradient. Course meets for an additional lab session each week during which time students will work on applied mathematics projects based on the topics covered in the course.
MAT 151 or MAT 161 or MAT 171 is a prerequisite for this class.

A&S 491


This course introduces students to the research base of organizational theory, the politics of education, and foundations of building level instructional leadership. Multiple theories are examined in light of the students? experience in educational settings. This examination of theory in light of experience provides the students with a framework for analyzing both familiar educational institutions and the theories that support educational institutions. Through a study of administrative and organizational theory using those settings with which students are most familiar, students will become more reflective of the theoretical base that will inform their future practice as administrators.
Status as an Advanced Masters Education student is a prerequisite for this class.