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Bachelor of Science in Mathematics

Mathematics is the language of science and of all fields where patterns and systematic processes are analyzed. Study in the mathematical sciences helps students conceptualize abstract structures, providing the tools and framework necessary for understanding modern technological society. The curriculum prepares students for a wide range of opportunities in business, government, the natural and social sciences, and graduate study.

MSCS General Advising Guide
Information on what you need to know about getting started as an MSCS major and working toward graduation.
Coursework and Checksheet
A helpful list of required courses in the Math major and checksheet to mark your progress.
LAS Graduation Requirements
A source of all general education, residence and GPA requirements for graduation from the College of Liberal Arts and Sciences.
Plan of Study
A four-year plan of study to help you map out your degree.

Mathematics Major Requirements

Checksheet

Course Hours Prerequisites and Advice
MATH 180, 181, 210
Calculus I, II, III
13 C or higher in each to continue
MATH 215
Intro to Adv Math
3 C or higher in MATH 181
MATH 300
Writing in Mathematics
1
C or higher in MATH 210
Open only to declared majors
Math 313
Analysis I
3 C or higher in Math 210 and 215
Math 320
Linear Algebra I
3 C or higher in Math 210 and 215
Math 330
Abstract Algebra
3 C or higher in Math 320
Electives chosen from MATH, STAT, and MCS courses numbered 200 or higher with the exception of MATH 310 and MATH 410. At least six hours must be at the 400 level. 15 Some suggested elective options are shown below

Suggested Elective Options

Pure Mathematics:
MATH 414 (Analysis II), MATH 417 (Complex Analysis), MATH 430 (Logic), MATH 431(Algebra II), MATH 442 (Curves and Surfaces), MATH 435(Number Theory), MATH 445 (Topology I) and MATH 446 (Topology II).
Applied Mathematics:
MATH 220 (Differential Equations), MATH 417 (Complex Analysis), MATH 419 (Modeling), MATH 480 (Applied Differential Equations), and MATH 481 (Applied PDE).
Computational and Industrial Mathematics:
MCS 260 (Computer Science), MCS 320 (Symbolic Computation), MCS 471 (Numerical Analysis), and MCS 472 (Industrial MATH).
Probability and Statistics:
STAT 381 (Applied Statistics), STAT 401 (Probability), STAT 411 (Statistical Theory), STAT 461 (Probability Models), or any other 400 level STAT course.

The above options provide a guide to designing a program that is useful for graduate school or job placement. Students are not restricted in their choice of electives.