Mathematics and Computer Science

For the Degree of Bachelor of Science in Liberal Arts and Sciences

Major in Sciences and Letters Curriculum

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Degree title: Bachelor of Science in Liberal Arts and Sciences

Minimum required major and supporting course work normally equates to 70 hours.

General education: Students must complete the Campus General Education requirements including the campus general education language requirement.

Twelve hours of 300- and 400-level courses in the major must be taken on this campus.

Minimum hours required for graduation: 120 hours

Departmental distinction: To graduate with distinction requires a specified minimum grade point average in all Computer Science and Mathematics courses listed below. A GPA of 3.25 is required for Distinction, 3.5 for High Distinction, and 3.75 for Highest Distinction. In addition, students must complete at least three semester hours of additional Computer Science or Mathematics courses selected from the following:CS 196, CS 296, CS 397, CS 492, CS 493, CS 499, any CS course numbered 411 or higher, MATH 412, MATH 414, MATH 417, MATH 418, MATH 423, MATH 432, MATH 448, MATH 482, MATH 484, MATH 496.

NOTE: A student taking a cross-listed course in this major may designate it as either mathematics or computer science.


CS 100Freshman Orientation (recommended)0-1
Calculus through MATH 241-Calculus III11-12
MATH 347Fundamental Mathematics3
or MATH 348 Fundamental Mathematics-ACP
CS 125Intro to Computer Science4
CS 126Software Design Studio3
CS 173Discrete Structures3
CS 225Data Structures4
CS 233Computer Architecture4
CS 241System Programming4
CS/MATH 357Numerical Methods I3
CS 374Introduction to Algorithms & Models of Computation4
CS 421Progrmg Languages & Compilers3
CS 457Numerical Methods II3
MATH 415Applied Linear Algebra3
or MATH 416 Abstract Linear Algebra
400-level mathematics and computer science requirements:18
Students must select at least six 400-level mathematics and computer science courses, including one from each of the following groups:
Probability & Statistics for Computer Science (recommended)
Probability Theory
Statistics and Probability I
Graph Theory
Intro to Abstract Algebra
Differential Equations
Applied Complex Variables
Nonlinear Programming
Elementary Real Analysis
Real Variables
Mathematical Logic
Fundamental Algorithms
Formal Models of Computation
Program Verification
Formal Software Devel Methods
Stochastic Processes & Applic